CN108734403A - A kind of school mutual affection analysis plateform system - Google Patents
A kind of school mutual affection analysis plateform system Download PDFInfo
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Abstract
The invention discloses a kind of school mutual affections to analyse plateform system, including：Undergraduate's fundamental analysis module, personage's fundamental analysis module, scientific research comprehensive analysis module, comprehensive analysis module of imparting knowledge to students, all-in-one campus card analysis module, Assets Analyst module, books analysis module, dormitory management data analysis module is with accurate subsidy analysis module, for a long time not in school analysis module and religion analysis module is commented to connect, and precisely subsidizes analysis module, for extracting consumption number of times and spending amount in student one month in time for eating meals section, it is determined as doubtful poor student；For a long time not in school analysis module, for obtain all-purpose card N days it is above without consumer record personnel, N days or more library's entrance guards without the recorder person that swipes the card, take attendance in class record absence personnel, and/or N days or more be classified as without the recorder person that surfs the Internet it is doubtful for a long time not in school personnel；Religion analysis module is commented, for being directed to student, teacher, the generally scoring of expert and weight, calculates final score.
Description
Technical field
The present invention relates to campus informatization technical fields more particularly to a kind of school mutual affection to analyse plateform system.
Background technology
The situations such as business department of colleges and universities is inadequate for the cognition of data, and data user rate is low.Data are important as colleges and universities
Intangible asset and strategic resource, the horizontal height utilized can directly react the teaching and scientific research level of a colleges and universities, management energy
Power, while being the effective means for improving University Competitive Power again.And there is also Information System configuration is paid attention to inside colleges and universities, to colleges and universities' number
According to constructive awareness weakness, do not recognize that data are also the valuable assets of colleges and universities, it will played in school instruction research and development management
Important role causes colleges and universities' data user rate low, and valuable data assets cannot play its important function.Intelligent campus
Data infrastructure is incomplete, and the application that data are carried out with depth mining analysis is less.And application is excessively single mostly at present,
Rest on the levels such as the displaying, inquiry, statistics of data, the inadequate hommization of application software, using trouble.Each application software needs
It individually to register, and account number cipher is different, often the used time needed to fail to give attention to account number cipher, it has to administrator be looked for help
It helps and gives password for change or be simply just out of use.The information checked either with or without needs in each application software is not known, but often enters one
A application system will manual login it is pretty troublesome, so no one notice just do not go to see.The construction of Intelligent campus lacks a system
As soon as platform can not carry out effectively integrating for data without this platform, the alternate analyses of data is not proposed more and is applied.
Invention content
In order to overcome above-mentioned problem of the prior art, the present invention provides a kind of school mutual affections to analyse plateform system.
The present invention provides a kind of school mutual affections to analyse plateform system, including：
Undergraduate's fundamental analysis module, divides into student work information, for showing ethnic distribution situation (Top10), age
Section distribution statistics, Sex distribution statistics, registered permanent residence property ration statistics, length of schooling statistics, state distribution, political affiliation distribution statistics,
Undisciplined punishment statistics, study form statistics, source statistic；Student status management information, for showing student status unusual fluctuation statistic, class
Statistics, number distribution statistics, each Major quantity statistics over the years, demographics of entering a school, each subject student quantity statistics over the years；
Tuition fee is not paid and is reduced or remitted, for showing that arrearage is analyzed, tuition waiver statistics；Prize helps loan, diligent work point analysis, for showing that scholarship is united
Meter, scholarship statistics, part-work and part-study statistics, loan statistics；Enrollment is analyzed with admission, for showing that admission mode counts, over the years
Students ' age distribution statistics, enrollment batch statistics, enrollment classification statistics, enrollment plan analysis of performance statistics are over the years to enroll
Fraction analysis counts, and is distributed to source of students, source of students over the years ground distribution statistics；Employment comprehensive analysis, for showing employment statistics.
Occurrences in human life fundamental analysis module, divides into occurrences in human life essential information, for showing that teaching and administrative staff's total quantity is analyzed, attached (straight) category
Auxiliary unit situation analysis, Party and government offices' situation analysis, teaching and administrative staff academic title's detailed analysis, teaching and administrative staff academic title are taught in unit situation analysis
Statistics, teaching and administrative staff nationality statistics, teaching and administrative staff's age bracket statistics, teaching and administrative staff's educational background statistics, teaching and administrative staff's class statistics, teaching and administrative staff's degree
Statistics, teaching and administrative staff's source statistic, teaching and administrative staff's gender statistics, teaching and administrative staff's profession statistics, teaching and administrative staff's political affiliation statistics, teaching job worker
Member's classification statistics；Qualified teachers' comprehensive analysis, for showing school's teachers'level construction, each institute teaching and administrative staff demographics；Transfer system
Meter analysis, for showing that teaching and administrative staff's transfer of personnel counts；Geographical relationship analysis, for showing the geographical relationship analysis of teaching and administrative staff；It examines
Core, reward etc., for showing that teaching and administrative staff's result of appraisal count, teaching and administrative staff's prize outcome statistics.
Scientific research comprehensive analysis module, divides into research institution, for showing each mechanism scientific research personnel comparison, each facility personnel couple
Than each mechanism scientific achievement counts, each mechanism achievement statistics of award-winning works, project situation under each mechanism, scientific research institution's summary statistics；Section
Project is ground, scientific research project achievement situation above the provincial level is obtained for showing nearly 2 years；Scientific research personnel, for showing scientific research personnel
Educational background composition, scientific research personnel's age distribution, scientific research personnel academic title's composition, scientific research personnel's degree composition, scientific research personnel's political affiliation
Statistics, scientific research personnel's classification composition, scientific research personnel's national composition, scientific research personnel's statistic, scientific research personnel's gender composition；Scientific research
Funds, for showing that funds use distribution, research funding usage trend；Personal ranking statistics, for showing scientific achievement ranking；
The nearly 5 years science research outputs of the talent at different levels, for showing the nearly 5 years science research outputs of highly qualified professional (by teacher point).
Impart knowledge to students comprehensive analysis module, divide into teaching affairs analysis, for show school open a course situation statistics, impart knowledge to students base
This facility counts, curriculum and instruction statistical analysis, each institute's class hour amount statistics, teaching and administrative staff's teaching task statistics；Achievement synthesis point
Analysis, for showing each institute scholar-tyrant, one who exercises autocratic control in academic and educational circles statistical analysis, each department's achievement situation comparison, achievement detailed statistical analysis, each institute's extension section
Rate situation counts；Teaching management, for showing total class hour variation tendency of each institute's academic year, e-learning statistical analysis, teaching pipe
Manage troop's statistical analysis, practical teaching statistical analysis；Quality monitor of teaching, for showing that education and instruction level statistic is analyzed, matter
Measure monitoring statisticss analysis, Students ' Employment rate and its analysis of trend, each type student monitoring report analysis；Teacher's management is used for
Show that school leads on-job time limit analysis, whole school to lead age distribution, the distribution of Students ' Employment situation, teacher's levels training statistics.
All-in-one campus card analysis module divides into college student's consumption analysis, for showing student's time for eating meals piecewise analysis, Xue Shengren
Equal amount of consumption analysis, college student's consumption trend analysis, college student's consumption custom analysis, student month Consumption, student often eat the amount of consumption
Analysis；Place analysis is consumed, for showing that dining room student month Consumption, consuming point statistical analysis, college student's consumption press location
Sequence, each shop number of student statistics of doing shopping, number of student of having dinner statistics；Analysis is supplemented with money, for showing that student's all-purpose card is supplemented with money point
Analysis (presses institute), and student's all-purpose card supplements analysis with money (by grade)；It precisely subsidizes, for showing every average consumption amount of money VS last month
Whole school's average value, last month consumption number of times VS whole school average value.
Assets Analyst module, divides into general status, for showing assets totality basic condition, equipment source statistical analysis,
Maintenance of equipment number counts, expensive equipment type statistics, equipment Statistic Analysis (Top10), and comparison counts each department's equipment
The raw equal input ratio of value；General Instrument equipment purchases statistics (nearly 5 years) for presentation device, and each department receives statistics；Furniture,
For showing that furniture purchases statistics (nearly 5 years), each department receives statistics；Large-scale, valuable instrument and equipment is used for presentation device instrument
Device use information, 10W, 25W, 40W or more expensive instrument use information statistics, 10W, 25W, 40W or more expensive instrument inventory.
Books analysis module, divides into general status, and for showing general status preview, disengaging person-time is united daily in library
Meter, the daily number of people entering in library lend books volume time analysis daily with number comparative analysis, library is borrowed；Books visual angle point
Analysis borrows week, borrows personnel's ranking, check out peak analysis, by book class statistics books profit for showing that year borrows Top10
With rate, books capital input and each collected books classification accounting count annual circulation by book class, press by the amount of checking out to each institute's ranking
The amount of checking out counts annual circulation to each institute's ranking, by book class, check out peak when check out more book alanysis, each department, profession
Library borrows comparison ranking, borrows the high book class of the frequency and carries out ranking, literature and art class ranking；(reader draws reader's Perspective Analysis
Picture), for showing the reader gone once in a while, the reader often come, different type reader -- interest preference (presses grade), different type
Reader -- interest preference (presses institute)；Library's Perspective Analysis, for showing books fund input statistical analysis over the years, to collected books
Statistic of classification is carried out according to book classification, statistic of classification is carried out according to collection classification to collected books, books per student volumes, library goes out
Enter peak period analysis.
Dormitory management data analysis module, divides into general status, for showing each building bed statistics, each building room system
Meter；Situation analysis is moved in, for showing that system is moved in each institute's dormitory occupancy rate analysis, each colleger's dormitory distribution, dormitory building
Meter, each department of dormitory move in composition accounting statistics, and students' dormitory, which is moved under detail, studies intensively analysis；Come in and go out access control system, for opening up
Show that dormitory discrepancy counts at times.
Analysis module is precisely subsidized, for extracting the consumption number of times in student one month in time for eating meals section and consumption gold
Volume, if consumption number of times are more than in the school rear 5 percent, spending amount is less than in the school rear 5 percent；Then it is determined as doubtful poverty
It is raw；
For a long time not in school analysis module, for obtaining all-purpose card N days or more without consumer record personnel, N days or more libraries
Gate inhibition is classified as doubtful length without the recorder person that swipes the card, take attendance in class record absence personnel, and/or N days or more without online recorder person
Phase is not in school personnel；
Religion analysis module is commented, for the generally scoring for student, teacher, expert, and according to student, teacher, expert
Weight calculates final score.
Preferably, time for eating meals section is 5-6 points in morning, noon 11-12 point, evening 17-18 point.
Preferably, student, teacher, expert weight be that dynamic adjusts, if the student, teacher, expert are all to other
Teacher comments religion score to remain basically stable or the threshold value of deviation average, then its weight will reduce, otherwise enhancing.
Preferably, institute's commentary religion analysis module can use participle tool that will in short be divided first for word evaluation
Then word separates commendatory term, derogatory term and neutral words for part of speech, commendatory term and derogatory term are charged to dictionary, then called
The feelings of Python close word analysis interface return whole word it is semantic it is qualitative be that commendation or derogatory sense are counted.
Preferably, feelings analysis platform in school uses the Java algorithms based on Pearson came correlation, for measure two variable Xs and
Correlation between Y, i.e., linearly related, value is between 0 and 1；The distribution of data is described using scatter plot, then base
In the number of algorithm being calculated between a 0-1, which more levels off to 1 explanation close relation between the two, it is on the contrary then
Non-correlation.
Advantageous effect：The present invention is school leader, management organization at different levels and teacher, provides various dimensions, visualization, a panorama
Channel is excavated and shows in the data analysis of formula, finds the problems in management and education activities and rule in time, is school, each department
Auxiliary and foundation are provided with the decision of each institute, accurate feedback information is provided for teacher, is allowed to preferably carry out teaching,
It improves the quality of teaching, makes full use of the advantage of data and application integrating caused by gerneral institutes of higher education's Digital Campus Construction,
To information, management is arrived to be serviced data, is given full play to benefit caused by informationization and effect, is further carried for gerneral institutes of higher education
Management quality and the efficiency of management are risen, " support " and " leading " for playing information technology acts on, for the long-term plan and construction of school,
Play the role of promotion and boosting.
Specific implementation mode
For make present invention solves the technical problem that, the technical solution that uses and the technique effect that reaches it is clearer, below
The present invention is described in further detail in conjunction with the embodiments.It is understood that specific embodiment described herein is only
For explaining the present invention rather than limitation of the invention.Embodiment：
School mutual affection analyses plateform system：
Undergraduate's fundamental analysis module, divides into student work information, for showing ethnic distribution situation (Top10), age
Section distribution statistics, Sex distribution statistics, registered permanent residence property ration statistics, length of schooling statistics, state distribution, political affiliation distribution statistics,
Undisciplined punishment statistics, study form statistics, source statistic；Student status management information, for showing student status unusual fluctuation statistic, class
Statistics, number distribution statistics, each Major quantity statistics over the years, demographics of entering a school, each subject student quantity statistics over the years；
Tuition fee is not paid and is reduced or remitted, for showing that arrearage is analyzed, tuition waiver statistics；Prize helps loan, diligent work point analysis, for showing that scholarship is united
Meter, scholarship statistics, part-work and part-study statistics, loan statistics；Enrollment is analyzed with admission, for showing that admission mode counts, over the years
Students ' age distribution statistics, enrollment batch statistics, enrollment classification statistics, enrollment plan analysis of performance statistics are over the years to enroll
Fraction analysis counts, and is distributed to source of students, source of students over the years ground distribution statistics；Employment comprehensive analysis, for showing employment statistics.
Occurrences in human life fundamental analysis module, divides into occurrences in human life essential information, for showing that teaching and administrative staff's total quantity is analyzed, attached (straight) category
Auxiliary unit situation analysis, Party and government offices' situation analysis, teaching and administrative staff academic title's detailed analysis, teaching and administrative staff academic title are taught in unit situation analysis
Statistics, teaching and administrative staff nationality statistics, teaching and administrative staff's age bracket statistics, teaching and administrative staff's educational background statistics, teaching and administrative staff's class statistics, teaching and administrative staff's degree
Statistics, teaching and administrative staff's source statistic, teaching and administrative staff's gender statistics, teaching and administrative staff's profession statistics, teaching and administrative staff's political affiliation statistics, teaching job worker
Member's classification statistics；Qualified teachers' comprehensive analysis, for showing school's teachers'level construction, each institute teaching and administrative staff demographics；Transfer system
Meter analysis, for showing that teaching and administrative staff's transfer of personnel counts；Geographical relationship analysis, for showing the geographical relationship analysis of teaching and administrative staff；It examines
Core, reward etc., for showing that teaching and administrative staff's result of appraisal count, teaching and administrative staff's prize outcome statistics.
Scientific research comprehensive analysis module, divides into research institution, for showing each mechanism scientific research personnel comparison, each facility personnel couple
Than each mechanism scientific achievement counts, each mechanism achievement statistics of award-winning works, project situation under each mechanism, scientific research institution's summary statistics；Section
Project is ground, scientific research project achievement situation above the provincial level is obtained for showing nearly 2 years；Scientific research personnel, for showing scientific research personnel
Educational background composition, scientific research personnel's age distribution, scientific research personnel academic title's composition, scientific research personnel's degree composition, scientific research personnel's political affiliation
Statistics, scientific research personnel's classification composition, scientific research personnel's national composition, scientific research personnel's statistic, scientific research personnel's gender composition；Scientific research
Funds, for showing that funds use distribution, research funding usage trend；Personal ranking statistics, for showing scientific achievement ranking；
The nearly 5 years science research outputs of the talent at different levels, for showing the nearly 5 years science research outputs of highly qualified professional (by teacher point).
Impart knowledge to students comprehensive analysis module, divide into teaching affairs analysis, for show school open a course situation statistics, impart knowledge to students base
This facility counts, curriculum and instruction statistical analysis, each institute's class hour amount statistics, teaching and administrative staff's teaching task statistics；Achievement synthesis point
Analysis, for showing each institute scholar-tyrant, one who exercises autocratic control in academic and educational circles statistical analysis, each department's achievement situation comparison, achievement detailed statistical analysis, each institute's extension section
Rate situation counts；Teaching management, for showing total class hour variation tendency of each institute's academic year, e-learning statistical analysis, teaching pipe
Manage troop's statistical analysis, practical teaching statistical analysis；Quality monitor of teaching, for showing that education and instruction level statistic is analyzed, matter
Measure monitoring statisticss analysis, Students ' Employment rate and its analysis of trend, each type student monitoring report analysis；Teacher's management is used for
Show that school leads on-job time limit analysis, whole school to lead age distribution, the distribution of Students ' Employment situation, teacher's levels training statistics.
All-in-one campus card analysis module divides into college student's consumption analysis, for showing student's time for eating meals piecewise analysis, Xue Shengren
Equal amount of consumption analysis, college student's consumption trend analysis, college student's consumption custom analysis, student month Consumption, student often eat the amount of consumption
Analysis；Place analysis is consumed, for showing that dining room student month Consumption, consuming point statistical analysis, college student's consumption press location
Sequence, each shop number of student statistics of doing shopping, number of student of having dinner statistics；Analysis is supplemented with money, for showing that student's all-purpose card is supplemented with money point
Analysis (presses institute), and student's all-purpose card supplements analysis with money (by grade)；It precisely subsidizes, for showing every average consumption amount of money VS last month
Whole school's average value, last month consumption number of times VS whole school average value.
Assets Analyst module, divides into general status, for showing assets totality basic condition, equipment source statistical analysis,
Maintenance of equipment number counts, expensive equipment type statistics, equipment Statistic Analysis (Top10), and comparison counts each department's equipment
The raw equal input ratio of value；General Instrument equipment purchases statistics (nearly 5 years) for presentation device, and each department receives statistics；Furniture,
For showing that furniture purchases statistics (nearly 5 years), each department receives statistics；Large-scale, valuable instrument and equipment is used for presentation device instrument
Device use information, 10W, 25W, 40W or more expensive instrument use information statistics, 10W, 25W, 40W or more expensive instrument inventory.
Books analysis module, divides into general status, and for showing general status preview, disengaging person-time is united daily in library
Meter, the daily number of people entering in library lend books volume time analysis daily with number comparative analysis, library is borrowed；Books visual angle point
Analysis borrows week, borrows personnel's ranking, check out peak analysis, by book class statistics books profit for showing that year borrows Top10
With rate, books capital input and each collected books classification accounting count annual circulation by book class, press by the amount of checking out to each institute's ranking
The amount of checking out counts annual circulation to each institute's ranking, by book class, check out peak when check out more book alanysis, each department, profession
Library borrows comparison ranking, borrows the high book class of the frequency and carries out ranking, literature and art class ranking；(reader draws reader's Perspective Analysis
Picture), for showing the reader gone once in a while, the reader often come, different type reader -- interest preference (presses grade), different type
Reader -- interest preference (presses institute)；Library's Perspective Analysis, for showing books fund input statistical analysis over the years, to collected books
Statistic of classification is carried out according to book classification, statistic of classification is carried out according to collection classification to collected books, books per student volumes, library goes out
Enter peak period analysis.
Dormitory management data analysis module, divides into general status, for showing each building bed statistics, each building room system
Meter；Situation analysis is moved in, for showing that system is moved in each institute's dormitory occupancy rate analysis, each colleger's dormitory distribution, dormitory building
Meter, each department of dormitory move in composition accounting statistics, and students' dormitory, which is moved under detail, studies intensively analysis；Come in and go out access control system, for opening up
Show that dormitory discrepancy counts at times.
Analysis module is precisely subsidized, for extracting the consumption number of times in student one month in time for eating meals section and consumption gold
Volume, if consumption number of times are more than in the school rear 5 percent, spending amount is less than in the school rear 5 percent；Then it is determined as doubtful poverty
It is raw.
For a long time not in school analysis module, for obtaining all-purpose card N days or more without consumer record personnel, N days or more libraries
Gate inhibition is classified as doubtful length without the recorder person that swipes the card, take attendance in class record absence personnel, and/or N days or more without online recorder person
Phase is not in school personnel.
Religion analysis module is commented, for the generally scoring for student, teacher, expert, and according to student, teacher, expert
Weight calculates final score.
Time for eating meals section is 5-6 points in morning, noon 11-12 point, evening 17-18 point.
Student, teacher, expert weight be that dynamic adjusts, if the student, teacher, expert comment religion to other all teachers
Score remains basically stable or the threshold value of deviation average, then its weight will reduce, otherwise enhancing.
Institute's commentary religion analysis module can use participle tool that will in short segment first for word evaluation, then needle
Commendatory term, derogatory term and neutral words are separated to part of speech, commendatory term and derogatory term are charged into dictionary, the feelings of Python is then called to close
Word analysis interface return whole word semanteme it is qualitative be that commendation or derogatory sense are counted.
School feelings analysis platform uses the Java algorithms based on Pearson came correlation, for measuring two between variable X and Y
Correlation, i.e., linearly related, value is between 0 and 1；The distribution that data are described using scatter plot, is then based on algorithm
The number being calculated between a 0-1, which more levels off to 1 explanation close relation between the two, it is on the contrary then without correlation
Property.
Input：
1. the consumption number of times and the amount of money of (5-6 points, 11-12 points, 17-18 points) in a upper month time for eating meals section.And it learns
Raw essential information.
2. student's all-purpose card consumption data and library's entrance guard data.
3. information is commented in student, teacher, expert's religion, such as：Marking and language comment religion.
School feelings analysis platform uses the Java algorithms based on Pearson came correlation.For measure two variable Xs and Y it
Between correlation (linear correlation), value is between -1 and 1.In natural science field, which is widely used in measurement two
Degree of correlation between variable.
Such as：Analytics eats it raw breakfast and school grade and whether there is correlation well.Just by student have breakfast situation and
School grade brings in algorithm the number that can be obtained between a 0-1 into, which more levels off to 1 explanation, and relationship is tight between the two
It is close, on the contrary then non-correlation.If result is close relation, from the perspective of from the angle of data, urging student to have breakfast can drive
School grade.
Processing procedure：
The accurate subsidy algorithm of rule characteristic 1. accurate grant module is worked and rested based on data and personnel.
In one month in time for eating meals section (5-6 points, 11-12 points, 17-18 points), percentage after consumption number of times are more than in the school
Five, spending amount be less than in the school after 5 percent.It is doubtful poor student within this range.
All-in-one campus card analysis is lower to use precisely subsidy algorithm.
Personnel are shown with tabular form, and displaying content includes：Head portrait, name, institute, profession, class, student's contact
Mode, student's classification, counsellor's name, spending amount last month (member), consumption number of times last month.
2. long-term not in school algorithm based on all-purpose card consumption number of times and library's entrance guard not in school analysis module for a long time.
Platform obtains same day all-purpose card three days or more without consumer record personnel.And three days or more library's entrance guards are without swiping the card
Record personnel are classified as doubtful long-term not in school personnel.Threshold value can be adjusted within three days, and latitude foundation can obtain data area
And increased.Such as：Take attendance in class record, internet records etc..Click can not check that student's all-purpose card disappears in school number of days
Take details.
Early warning uses for a long time not in school algorithm in the school under data mining.
Personnel are shown with tabular form, and displaying content includes：Head portrait, name, institute, profession, class, student's contact
It is mode, student's classification, counsellor's name, last school time source, long-term not in school duration (day).
3. religion analysis module is commented to comment religion model algorithm based on student, teacher, expert estimation and word evaluation.
For marking can according to student, teacher, expert generally scoring situation be student, teacher, expert be arranged weight, such as
They to other all teachers comment religion score to remain basically stable or deviation average is excessive to fruit, and weight will reduce.Otherwise increase
By force, to calculate one than more objective final score.For word evaluation first can use participle tool will in short into
Row participle, then separates commendatory term, derogatory term and neutral words for part of speech.Commendatory term and derogatory term can charge to dictionary.Then it adjusts
With the feelings of Python close word analysis interface return whole word it is semantic it is qualitative be that commendation or derogatory sense are counted.
Finally it should be noted that：The above embodiments are only used to illustrate the technical solution of the present invention., rather than its limitations；To the greatest extent
Present invention has been described in detail with reference to the aforementioned embodiments for pipe, it will be understood by those of ordinary skill in the art that：Its is right
Technical solution recorded in foregoing embodiments is modified, and is either equally replaced to which part or all technical features
It changes, the range for various embodiments of the present invention technical solution that it does not separate the essence of the corresponding technical solution.
Claims (5)
1. a kind of school mutual affection analyses plateform system, which is characterized in that the school mutual affection analyses plateform system and includes：
Undergraduate's fundamental analysis module, divides into student work information, for showing ethnic distribution situation, age bracket distribution statistics,
Sex distribution counts, registered permanent residence property ration statistics, length of schooling statistics, state distribution, political affiliation distribution statistics, undisciplined punishment system
Meter, study form statistics, source statistic；Student status management information, for showing student status unusual fluctuation statistic, class statistics, number
Distribution statistics, each Major quantity statistics over the years, demographics of entering a school, each subject student quantity statistics over the years；Tuition fee is not paid
With deduction and exemption, for showing that arrearage is analyzed, tuition waiver statistics；Prize helps loan, diligent work point analysis, and for showing that scholarship counts, prize is learned
Gold statistics, part-work and part-study statistics, loan statistics；Enrollment is analyzed with admission, for showing that admission mode counts, students ' age over the years
Distribution statistics, enrollment batch statistics, enrollment classification statistics, enrollment plan analysis of performance statistics, admission score analysis over the years
Statistics, is distributed to source of students, source of students over the years ground distribution statistics；Employment comprehensive analysis, for showing employment statistics；
Occurrences in human life fundamental analysis module, divides into occurrences in human life essential information, for showing that teaching and administrative staff's total quantity is analyzed, attached/subordinate unit
Situation analysis, teaches auxiliary unit situation analysis, Party and government offices' situation analysis, teaching and administrative staff academic title's detailed analysis, teaching and administrative staff academic title's statistics,
Teaching and administrative staff nationality counts, teaching and administrative staff's age bracket statistics, teaching and administrative staff's educational background statistics, teaching and administrative staff's class statistics, teaching and administrative staff's degree statistics,
Teaching and administrative staff's source statistic, teaching and administrative staff's gender statistics, teaching and administrative staff's profession statistics, teaching and administrative staff's political affiliation statistics, teaching and administrative staff's personnel's class
It does not count；Qualified teachers' comprehensive analysis, for showing school's teachers'level construction, each institute teaching and administrative staff demographics；Transfer statistical
Analysis, for showing that teaching and administrative staff's transfer of personnel counts；Geographical relationship analysis, for showing the geographical relationship analysis of teaching and administrative staff；Examination, prize
It encourages, for showing that teaching and administrative staff's result of appraisal count, teaching and administrative staff's prize outcome statistics；
Scientific research comprehensive analysis module, divides into research institution, for showing that each mechanism scientific research personnel comparison, each facility personnel compare,
Each mechanism scientific achievement counts, each mechanism achievement statistics of award-winning works, project situation under each mechanism, scientific research institution's summary statistics；Scientific research
Project obtains scientific research project achievement situation above the provincial level for showing nearly 2 years；Scientific research personnel, for showing that scientific research personnel learns
Go through composition, scientific research personnel's age distribution, scientific research personnel academic title's composition, scientific research personnel's degree composition, scientific research personnel's political affiliation system
Meter, scientific research personnel's classification composition, scientific research personnel's national composition, scientific research personnel's statistic, scientific research personnel's gender composition；Scientific research passes through
Take, for showing that funds use distribution, research funding usage trend；Personal ranking statistics, for showing scientific achievement ranking；Respectively
The grade nearly 5 years science research outputs of the talent, for showing the nearly 5 years science research outputs of highly qualified professional；
Impart knowledge to students comprehensive analysis module, divide into teaching affairs analysis, for show school open a course situation statistics, teaching set substantially
Apply statistics, curriculum and instruction statistical analysis, each institute's class hour amount statistics, teaching and administrative staff's teaching task statistics；Achievement comprehensive analysis is used
In each institute scholar-tyrant, one who exercises autocratic control in academic and educational circles statistical analysis of displaying, each department's achievement situation comparison, achievement detailed statistical analysis, each institute's extension section leads situation
Statistics；Teaching management, for showing total class hour variation tendency of each institute's academic year, e-learning statistical analysis, Teaching management
Statistical analysis, practical teaching statistical analysis；Quality monitor of teaching, for showing that education and instruction level statistic is analyzed, quality monitoring
Statistical analysis, Students ' Employment rate and its analysis of trend, each type student monitoring report analysis；Teacher's management, for showing school
The on-job time limit analysis of leader, whole school lead age distribution, the distribution of Students ' Employment situation, teacher's levels training statistics；
All-in-one campus card analysis module divides into college student's consumption analysis, for showing that student's time for eating meals piecewise analysis, student disappear per capita
Take volume analysis, college student's consumption trend analysis, college student's consumption custom analysis, student's month Consumption, student often eats amount of consumption analysis；
Place analysis is consumed, for showing that dining room student month Consumption, consuming point statistical analysis, college student's consumption sort by location,
Each shopping shop number of student statistics, number of student of having dinner statistics；It supplements analysis with money, for showing that student's all-purpose card supplements analysis with money, learns
Raw all-purpose card supplements analysis with money；It precisely subsidizes, for showing every average consumption amount of money VS whole school average value last month, consumption time last month
Number VS whole school average value；
Assets Analyst module, divides into general status, for showing assets totality basic condition, equipment source statistical analysis, equipment
Maintenance frequency counts, expensive equipment type statistics, equipment Statistic Analysis, and comparison counts each department's apparatus value life and puts into
Than；General Instrument equipment purchases statistics for presentation device, and each department receives statistics；Furniture, for showing that furniture purchases system
Meter, each department receive statistics；Large-scale, valuable instrument and equipment is used for presentation device instrument use information, 10W, 25W, 40W or more
Expensive instrument use information counts, 10W, 25W, 40W or more expensive instrument inventory；
Books analysis module, divides into general status, and for showing general status preview, disengaging person-time counts daily in library, figure
The daily number of people entering in book shop lends books volume time analysis daily with number comparative analysis, library is borrowed；Books Perspective Analysis is used
Year Top10 is borrowed in displaying, borrows week, borrow personnel's ranking, check out peak analysis, and document usage is counted by book class,
Books capital input and each collected books classification accounting count annual circulation, by the amount of checking out by the amount of checking out to each institute's ranking by book class
To each institute's ranking, annual circulation is counted by book class, check out peak when check out more book alanysis, each department, special library
Comparison ranking is borrowed, the high book class of the frequency is borrowed and carries out ranking, literature and art class ranking；Reader's Perspective Analysis (reader's portrait), is used for
Show the reader gone once in a while, the reader often come, different type reader -- interest preference (presses grade), different type reader -- it is emerging
Interesting preference (pressing institute)；Library's Perspective Analysis, for showing books fund input statistical analysis over the years, to collecting books according to books
Classification carries out statistic of classification, and statistic of classification, books per student volumes, library discrepancy peak period are carried out according to collection classification to collected books
Analysis.
Dormitory management data analysis module, divides into general status, for showing each building bed statistics, each building room statistics；
Situation analysis is moved in, for showing that statistics is moved in each institute's dormitory occupancy rate analysis, each colleger's dormitory distribution, dormitory building,
Each department of dormitory moves in composition accounting statistics, and students' dormitory, which is moved under detail, studies intensively analysis；Come in and go out access control system, for showing place
House comes in and goes out and counts at times；Analysis module is precisely subsidized, for extracting the consumption time in student one month in time for eating meals section
Number and spending amount, if consumption number of times are more than in the school rear 5 percent, spending amount is less than in the school rear 5 percent；Then judge
For doubtful poor student；
For a long time not in school analysis module, for obtaining all-purpose card N days or more without consumer record personnel, N days or more library's entrance guards
Without the recorder person that swipes the card, take attendance in class the absent personnel of record, and/or N days or more without the recorder person that surfs the Internet be classified as it is doubtful for a long time not
In school personnel；
Religion analysis module is commented, for the generally scoring for student, teacher, expert, and according to the weight of student, teacher, expert,
Calculate final score.
2. a kind of school mutual affection according to claim 1 analyses plateform system, which is characterized in that time for eating meals section is 5-6 in morning
Point, noon 11-12 point, evening 17-18 point.
3. a kind of school mutual affection according to claim 1 analyses plateform system, which is characterized in that student, teacher, expert weight
Dynamically to adjust, if the student, teacher, expert comment religion score to remain basically stable or deviation average to other all teachers
Threshold value, then its weight will reduce, otherwise enhancing.
4. a kind of school mutual affection according to claim 1 analyses plateform system, which is characterized in that institute's commentary religion analysis module is directed to
Word evaluation first can use participle tool will in short segment, then for part of speech separate commendatory term, derogatory term and in
Property word, commendatory term and derogatory term are charged into dictionary, then calls the feelings of Python to close word analysis interface and returns to the language of whole word
Qualitative justice is that commendation or derogatory sense are counted.
5. a kind of school mutual affection according to claim 1 analyses plateform system, which is characterized in that school feelings analysis platform use is based on
The Java algorithms of Pearson came correlation, for measuring two correlations between variable X and Y, i.e., linearly related, value is between 0 and 1
Between；The distribution that data are described using scatter plot is then based on the number of algorithm being calculated between a 0-1, should
Numerical value more levels off to 1 explanation close relation between the two, on the contrary then non-correlation.
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