CN105787663A - Handheld mobile device assessment method and system based on data excavation technology - Google Patents
Handheld mobile device assessment method and system based on data excavation technology Download PDFInfo
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Abstract
The present invention discloses a handheld mobile device assessment method and system based on a data excavation technology. The method comprises: performing correlation analysis of the assessment indexes of a handheld mobile device; performing pre-processing operation of reserved assessment indexes of the handheld mobile device; building a C4.5 decision tree based on the assessment indexes, after numeric-type attributes discretization and attributing, of the handheld mobile device; and obtaining the key assessment indexes of the handheld mobile device. The handheld mobile device assessment method and system based on the data excavation technology are able to obtain the assessment indexes, with high correlation, of a handheld mobile device through correlation analysis of user assessment information and feedback data to allow manufacturers to delete the assessment indexes, with high correlation, of a handheld mobile device in an assessment information feedback table; the handheld mobile device assessment method and system based on the data excavation technology are able to allow users to select a handheld mobile device according to the their requirements through a C4.5 decision tree and allow manufacturers to improve the market competitiveness and obtain reliable opinions; and moreover, the handheld mobile device assessment method and system based on the data excavation technology are used for users to select a handheld mobile device suiting themselves and for manufacturers to perform valuable improvement for the self-designed handheld mobile devices.
Description
Technical field
The present invention relates to electronics field, particularly relate to a kind of hand-held mobile terminal assessment mode data mining technology based on C4.5 decision tree.
Background technology
Along with constantly rising and the user's quick increase to the demand of hand-held mobile terminal of hand-held mobile terminal manufacturer, one how is selected to be suitable for oneself hand-held mobile terminal and how to produce the hand-held mobile terminal of an adaptation tendency of the day and have become as the common issue faced of user and manufacturer, present each hand-held mobile terminal official website acquires substantial amounts of hand-held mobile terminal assessment information, and this information is with speed increment at double.But these data are not got up by real utilization.
C4.5 algorithm is the mechanism of a kind of inductive learning, and its core concept is identical with ID3, but has done better improvement in method realizing, and adds new function.Specifically include that employing " gain scale " selects Split Attribute, the process to connection attribute, the process to sample attribute value deletion condition, the generation of rule, cross validation etc..The reason adopting C4.5 algorithm herein is, it is possible to the numerical value of script continuous carries out reprocessing after discretization.The basic process of C4.5 algorithm includes generating decision tree, prunes decision tree, generates several parts such as decision rules.Although C4.5 itself also has deficiency, such as during structure decision tree, need whole set of data Multiple-Scan and sequence, the efficiency of algorithm can be limited to a certain extent, so when data set is very big, efficiency can reduce, but data of the present invention had been carried out pretreatment before generating C4.5 decision tree, take user and to the average of the evaluation index of this hand-held mobile terminal and the evaluation index of the strong hand-held mobile terminal of dependency is also carried out certain process, data volume can greatly reduce, so C4.5 algorithm will not be subject to too many limitation in the present invention, can use in the present invention.
In present technology, data mining technology utilization in hand-held mobile terminal problem is broadly divided into two classes: a class is based on decision tree and studies a certain class user and buy problem for hand-held mobile terminal, analyze which factor and can affect the purchase situation of this kind of user, improve manufacturer by grasping the information of this kind of user user is carried out marketing program targetedly；Hand-held mobile terminal market is studied by the another kind of simple data analytical technology that is based on, by collecting relevant data, then utilize data analysis technique that hand-held mobile terminal market is analyzed so that user's assessment to oneself hand-held mobile terminal is understood by manufacturer.But key evaluation index to hand-held mobile terminal can not be obtained according to these data based on those above technology manufacturer and improve the suggestion concrete, reliable of manufacturer's market competitiveness.
It is based on such thinking, the present invention proposes a kind of hand-held mobile terminal appraisal procedure based on data mining technology and system, propose and how to use correlation analysis, Data Discretization, attributed, set up the technology such as C4.5 decision tree and fully excavate the information in a large amount of assessment information with decision-making meaning, make more efficiently assessment and provide more useful suggestion, manufacturer is helped to improve the market competitiveness, better meet the demand of user, user also can be allowed to buy most suitable hand-held mobile terminal according to own actual situation.
Summary of the invention
It is an object of the invention to provide a kind of hand-held mobile terminal appraisal procedure based on data mining technology and system, it it is the difficult problem for the assessment information that can not effectively utilize a large amount of hand-held mobile terminals existed on website, data mining technology is passed through in realization, obtain determining the key evaluation index of hand-held mobile terminal, and the key evaluation index according to described hand-held mobile terminal effectively assesses and useful suggestion to manufacturer, user also can be allowed to buy most suitable hand-held mobile terminal according to own actual situation.
In order to solve above technical problem, the concrete technical scheme that the present invention adopts is as follows.
A kind of hand-held mobile terminal appraisal procedure based on data mining technology, it is characterised in that including:
Step one, extracts the achievement data of hand-held mobile terminal assessment on website；
Described achievement data includes: function, front and back pixel, system fluency, tonequality audio, outward appearance, hand-held mobile terminal brand, screen size, battery durability, hand-held mobile terminal price；User on website is assessed information and feedback data is once extracted every half a year, the user of the brand hand-held mobile terminal of first 5 of hand-held mobile terminal ranking list is assessed information every time and feedback data is extracted, obtain the evaluation index of hand-held mobile terminal；
Step 2, carries out correlation analysis to the average of the evaluation index of described hand-held mobile terminal, specifically includes procedure below:
Process 2.1: the evaluation index according to the hand-held mobile terminal extracted, calculate the average of the evaluation index of each hand-held mobile terminal, in order to ensure the stability that hand-held mobile terminal is assessed by user, the data acquisition carrying out correlation analysis is a large number of users average to the evaluation index of hand-held mobile terminal；
Process 2.2: according to the Pearson came similarity coefficient between mean value computation two two indexes of the evaluation index of described each hand-held mobile terminal；
Process 2.3: find out the evaluation index of the strong hand-held mobile terminal of dependency according to the size of described Pearson came similarity coefficient, the evaluation index of described Pearson came similarity coefficient hand-held mobile terminal between-0.5 to-1 and between 0.5 to 1 is all the index of significant correlation, it is the evaluation index of the strong hand-held mobile terminal of dependency, then the average of the evaluation index of each hand-held mobile terminal is added the assessment total score obtaining the evaluation index based on all hand-held mobile terminals；
Process 2.4: the evaluation index of hand-held mobile terminal strong to described dependency and the assessment total score based on the evaluation index of all hand-held mobile terminals calculate Pearson came similarity coefficient, if and based on the Pearson came similarity coefficient of assessment total score of evaluation index of all hand-held mobile terminals between-0.3 to 0.3, then any one in the evaluation index of the hand-held mobile terminal that retention relationship is strong, leave out another, otherwise the evaluation index of two hand-held mobile terminals all retains, and obtains the evaluation index of the hand-held mobile terminal retained；
Step 3, the evaluation index of the hand-held mobile terminal of described reservation is carried out pretreatment, calculating the assessment total score of the evaluation index of the hand-held mobile terminal retained, it is thus achieved that the evaluation index of the hand-held mobile terminal after Numeric Attributes discretization and attributed, detailed process is as follows:
Process 3.1: the average of the evaluation index of the hand-held mobile terminal retained described in step 2 is added again, obtains the assessment total score of the evaluation index of the hand-held mobile terminal retained；
Process 3.2: the evaluation index of the assessment total score of the evaluation index of the hand-held mobile terminal of described reservation and the hand-held mobile terminal of described reservation is carried out pretreatment, namely the index that attribute in the evaluation index of hand-held mobile terminal is numeric type is carried out discretization and attributed, namely according to the span of the index that attribute in the evaluation index of hand-held mobile terminal is numeric type, the index that attribute in the evaluation index of each hand-held mobile terminal is numeric type is divided into poor, in, good and outstanding four grades；
Step 4, the evaluation index based on the hand-held mobile terminal after described Numeric Attributes discretization and attributed sets up C4.5 decision tree, draws the key evaluation index of hand-held mobile terminal；
Process 4.1: the data type based on the evaluation index of the hand-held mobile terminal after described Numeric Attributes discretization and attributed utilizes information gain-ratio to determine categorical attribute and the division predicate of C4.5 decision tree, and the assessment total score of the evaluation index then connecting the hand-held mobile terminal after described Numeric Attributes discretization and attributed sets up C4.5 decision tree；
Process 4.2: the C4.5 decision tree established is analyzed, obtain hand-held mobile terminal after the evaluation index of hand-held mobile terminal after described Numeric Attributes discretization and attributed and described Numeric Attributes discretization and attributed evaluation index assessment total score between relation, take out the Split Attribute of C4.5 decision tree, it is the key evaluation index of hand-held mobile terminal, and builds an analytical model affecting hand-held mobile terminal pouplarity factor；
Step 5, the key evaluation index according to described hand-held mobile terminal, hand-held mobile terminal manufacturer can obtain valuable recommendation on improvement；
Process 5.1: user can before buying hand-held mobile terminal, according to oneself assessment to hand-held mobile terminal, travel through the node on described C4.5 decision tree, obtain whether this hand-held mobile terminal assessment result is oneself acceptable, then decide whether to buy；
Process 5.2: the market competitiveness can improve according to the key evaluation index of described hand-held mobile terminal in hand-held mobile terminal manufacturer, can show which index occupies deciding factor in hand-held mobile terminal assessment, it is analyzed in conjunction with self hand-held mobile terminal feature and function, improve deficiency, make the hand-held mobile terminal of production more meet user's request.So, hand-held mobile terminal manufacturer is obtained with valuable improvement idea.
The present invention has beneficial effect.The present invention obtains the user of hand-held mobile terminal by now evaluation index of the hand-held mobile terminal that produced dependency is strong when evaluating hand-held mobile terminal by correlation analysis, make hand-held mobile terminal manufacturer in hand-held mobile terminal assessment information feedback form is set, can the suitable evaluation index that must delete the strong hand-held mobile terminal of some dependencys, increase the evaluation index of the low hand-held mobile terminal of dependency；The present invention makes user according to oneself, the requirement of hand-held mobile terminal can be selected most suitable hand-held mobile terminal by constructing C4.5 decision tree；The present invention obtains the key evaluation index of hand-held mobile terminal by constructing C4.5 decision tree, improves manufacturer's market competitiveness whereby, and provides suggestion concrete, reliable；Making the hand-held mobile terminal that manufacturer produces more meet the evaluation criteria of user, the demand of user obtains to a certain extent and better meets；Such manufacturer hand-held mobile terminal improves and user's request can both accomplish to have " according to " can follow.
Accompanying drawing explanation
Fig. 1 is the implementing procedure figure of the inventive method；
Fig. 2 is the structural representation of present system；
In figure: 1, data capture unit；2, evaluation index dependency analysis unit；3, data pre-processing unit；4, the total subdivision of assessment of evaluation index is calculated；5, C4.5 decision tree construction unit；6, assessment unit.
Detailed description of the invention
Below in conjunction with accompanying drawing, embodiments of the invention are described in detail, so that advantages and features of the invention can be easier to be readily appreciated by one skilled in the art, thus protection scope of the present invention being made apparent clear and definite defining.
Embodiment one
A kind of hand-held mobile terminal appraisal procedure based on data mining technology provided by the invention, its implementing procedure is as it is shown in figure 1, comprise the steps:
Step one, extracts the achievement data of hand-held mobile terminal assessment on website；
Described achievement data includes: function, front and back pixel, system fluency, tonequality audio, outward appearance, hand-held mobile terminal brand, screen size, battery durability, hand-held mobile terminal price；User on website is assessed information and feedback data is once extracted every half a year, the user of the brand hand-held mobile terminal of first 5 of hand-held mobile terminal ranking list is assessed information every time and feedback data is extracted, obtain the evaluation index of hand-held mobile terminal；
Step 2, carries out correlation analysis to the average of the evaluation index of described hand-held mobile terminal, specifically includes procedure below:
Process 2.1: the evaluation index according to the hand-held mobile terminal extracted, calculate the average of the evaluation index of each hand-held mobile terminal, in order to ensure the stability that hand-held mobile terminal is assessed by user, the data acquisition carrying out correlation analysis is a large number of users average to the evaluation index of hand-held mobile terminal；
Process 2.2: according to the Pearson came similarity coefficient between mean value computation two two indexes of the evaluation index of described each hand-held mobile terminal；
Process 2.3: find out the evaluation index of the strong hand-held mobile terminal of dependency according to the size of described Pearson came similarity coefficient, the evaluation index of described Pearson came similarity coefficient hand-held mobile terminal between-0.5 to-1 and between 0.5 to 1 is all the index of significant correlation, it is the evaluation index of the strong hand-held mobile terminal of dependency, then the average of the evaluation index of each hand-held mobile terminal is added the assessment total score obtaining the evaluation index based on all hand-held mobile terminals；
Process 2.4: the evaluation index of hand-held mobile terminal strong to described dependency and the assessment total score based on the evaluation index of all hand-held mobile terminals calculate Pearson came similarity coefficient, if and based on the Pearson came similarity coefficient of assessment total score of evaluation index of all hand-held mobile terminals between-0.3 to 0.3, then any one in the evaluation index of the hand-held mobile terminal that retention relationship is strong, leave out another, otherwise the evaluation index of two hand-held mobile terminals all retains, and obtains the evaluation index of the hand-held mobile terminal retained；
Step 3, the evaluation index of the hand-held mobile terminal of described reservation is carried out pretreatment, calculating the assessment total score of the evaluation index of the hand-held mobile terminal retained, it is thus achieved that the evaluation index of the hand-held mobile terminal after Numeric Attributes discretization and attributed, detailed process is as follows:
Process 3.1: the average of the evaluation index of the hand-held mobile terminal retained described in step 2 is added again, obtains the assessment total score of the evaluation index of the hand-held mobile terminal retained；
Process 3.2: the evaluation index of the assessment total score of the evaluation index of the hand-held mobile terminal of described reservation and the hand-held mobile terminal of described reservation is carried out pretreatment, namely the index that attribute in the evaluation index of hand-held mobile terminal is numeric type is carried out discretization and attributed, namely according to the span of the index that attribute in the evaluation index of hand-held mobile terminal is numeric type, the index that attribute in the evaluation index of each hand-held mobile terminal is numeric type is divided into poor, in, good and outstanding four grades；
Step 4, the evaluation index based on the hand-held mobile terminal after described Numeric Attributes discretization and attributed sets up C4.5 decision tree, draws the key evaluation index of hand-held mobile terminal；
Process 4.1: the data type based on the evaluation index of the hand-held mobile terminal after described Numeric Attributes discretization and attributed utilizes information gain-ratio to determine categorical attribute and the division predicate of C4.5 decision tree, and the assessment total score of the evaluation index then connecting the hand-held mobile terminal after described Numeric Attributes discretization and attributed sets up C4.5 decision tree；
Process 4.2: the C4.5 decision tree established is analyzed, obtain hand-held mobile terminal after the evaluation index of hand-held mobile terminal after described Numeric Attributes discretization and attributed and described Numeric Attributes discretization and attributed evaluation index assessment total score between relation, take out the Split Attribute of C4.5 decision tree, it is the key evaluation index of hand-held mobile terminal, and builds an analytical model affecting hand-held mobile terminal pouplarity factor；
Step 5, the key evaluation index according to described hand-held mobile terminal, hand-held mobile terminal manufacturer can obtain valuable recommendation on improvement；
Process 5.1: user can before buying hand-held mobile terminal, according to oneself assessment to hand-held mobile terminal, travel through the node on described C4.5 decision tree, obtain whether this hand-held mobile terminal assessment result is oneself acceptable, then decide whether to buy；
Process 5.2: the market competitiveness can improve according to the key evaluation index of described hand-held mobile terminal in hand-held mobile terminal manufacturer, can show which index occupies deciding factor in hand-held mobile terminal assessment, it is analyzed in conjunction with self hand-held mobile terminal feature and function, improve deficiency, make the hand-held mobile terminal of production more meet user's request.So, hand-held mobile terminal manufacturer is obtained with valuable improvement idea.
Embodiment two
The present invention also provides for a kind of hand-held mobile terminal based on C4.5 decision tree and assesses system, the hand-held mobile terminal assessment system that the present embodiment provides is the executive agent of the hand-held mobile evaluation method that described first embodiment provides, its implementation unit is as in figure 2 it is shown, include such as lower part:
Data capture unit 1, for obtaining the achievement data of hand-held mobile terminal assessment on website；
Evaluation index dependency analysis unit 2, for obtaining the evaluation index of the low hand-held mobile terminal of dependency, the i.e. evaluation index of the hand-held mobile terminal of described reservation；Concrete processing method is identical with the description in case study on implementation one, is not detailed herein.
Data pre-processing unit 3, evaluation index for the hand-held mobile terminal to described reservation carries out pretreatment, calculate the assessment total score of the evaluation index of the hand-held mobile terminal retained, it is thus achieved that the evaluation index of the hand-held mobile terminal after Numeric Attributes discretization and attributed；
Calculate the total subdivision 4 of assessment of evaluation index, for calculating the assessment total score of the evaluation index of the hand-held mobile terminal after Numeric Attributes discretization and attributed according to the evaluation index of the hand-held mobile terminal after Numeric Attributes discretization and attributed, and assess the ratings of this hand-held mobile terminal；Concrete processing method is identical with the description in case study on implementation one, is not detailed herein.
C4.5 decision tree construction unit 5, is used for building C4.5 decision tree, draws the key evaluation index of hand-held mobile terminal；
Assessment unit 6, for assessing the Pros and Cons of hand-held mobile terminal, and provides reliable suggestion to the improvement of hand-held mobile terminal.
The foregoing is only embodiments of the invention; not thereby the scope of the claims of the present invention is limited; every equivalent structure utilizing description of the present invention and accompanying drawing content to make or equivalence flow process conversion; or directly or indirectly it is used in other relevant technical fields, all in like manner include the scope of patent protection in the present invention.
Claims (5)
1. the hand-held mobile terminal appraisal procedure based on data mining technology, it is characterised in that comprise the following steps:
Step one, extracts the achievement data of hand-held mobile terminal assessment on website；
Described achievement data includes: function, front and back pixel, system fluency, tonequality audio, outward appearance, hand-held mobile terminal brand, screen size, battery durability, hand-held mobile terminal price；User on website is assessed system information and feedback data is once extracted every half a year, the user of the brand hand-held mobile terminal of first 5 of hand-held mobile terminal ranking list is assessed information every time and feedback data is extracted, obtain the evaluation index of hand-held mobile terminal；
Step 2, carries out correlation analysis to the average of the evaluation index of described hand-held mobile terminal；
Step 3, carries out pretreatment to the evaluation index of the hand-held mobile terminal of described reservation, calculates the assessment total score of the evaluation index of the hand-held mobile terminal retained, it is thus achieved that the evaluation index of the hand-held mobile terminal after Numeric Attributes discretization and attributed；
Step 4, the evaluation index based on the hand-held mobile terminal after described Numeric Attributes discretization and attributed sets up C4.5 decision tree, draws the key evaluation index of hand-held mobile terminal；
Step 5, the key evaluation index according to described hand-held mobile terminal, hand-held mobile terminal manufacturer can obtain valuable recommendation on improvement.
2. a kind of hand-held mobile terminal appraisal procedure based on data mining technology according to claim 1, it is characterised in that described step 2 specifically includes procedure below:
Process 2.1: the evaluation index according to the hand-held mobile terminal extracted, calculate the average of the evaluation index of each hand-held mobile terminal, in order to ensure the stability that hand-held mobile terminal is assessed by user, the data acquisition carrying out correlation analysis is a large number of users average to the evaluation index of hand-held mobile terminal；
Process 2.2: according to the Pearson came similarity coefficient between mean value computation two two indexes of the evaluation index of described each hand-held mobile terminal；
Process 2.3: find out the evaluation index of the strong hand-held mobile terminal of dependency according to the size of described Pearson came similarity coefficient, the evaluation index of described Pearson came similarity coefficient hand-held mobile terminal between-0.5 to-1 and between 0.5 to 1 is all the index of significant correlation, it is the evaluation index of the strong hand-held mobile terminal of dependency, then the average of the evaluation index of each hand-held mobile terminal is added the assessment total score obtaining the evaluation index based on all hand-held mobile terminals；
Process 2.4: the evaluation index of hand-held mobile terminal strong to described dependency and the assessment total score based on the evaluation index of all hand-held mobile terminals calculate Pearson came similarity coefficient, if and based on the Pearson came similarity coefficient of assessment total score of evaluation index of all hand-held mobile terminals between-0.3 to 0.3, then any one in the evaluation index of the hand-held mobile terminal that retention relationship is strong, leave out another, otherwise the evaluation index of two hand-held mobile terminals all retains, and obtains the evaluation index of the hand-held mobile terminal retained.
3. a kind of hand-held mobile terminal appraisal procedure based on data mining technology according to claim 1, it is characterised in that described step 3 specifically includes procedure below:
Process 3.1: the average of the evaluation index of the hand-held mobile terminal retained described in step 2 is added again, obtains the assessment total score of the evaluation index of the hand-held mobile terminal retained；
Process 3.2: the evaluation index of the assessment total score of the evaluation index of the hand-held mobile terminal of described reservation and the hand-held mobile terminal of described reservation is carried out pretreatment, namely the index that attribute in the evaluation index of hand-held mobile terminal is numeric type is carried out discretization and attributed, namely according to the span of the index that attribute in the evaluation index of hand-held mobile terminal is numeric type, the index that attribute in the evaluation index of each hand-held mobile terminal is numeric type is divided into poor, in, good and outstanding four grades.
4. a kind of hand-held mobile terminal appraisal procedure based on data mining technology according to claim 1, it is characterised in that described step 4 specifically includes procedure below:
Process 4.1: the data type based on the evaluation index of the hand-held mobile terminal after described Numeric Attributes discretization and attributed utilizes information gain-ratio to determine categorical attribute and the division predicate of C4.5 decision tree, and the assessment total score of the evaluation index then connecting the hand-held mobile terminal after described Numeric Attributes discretization and attributed sets up C4.5 decision tree；
Process 4.2: the C4.5 decision tree established is analyzed, obtain hand-held mobile terminal after the evaluation index of hand-held mobile terminal after described Numeric Attributes discretization and attributed and described Numeric Attributes discretization and attributed evaluation index assessment total score between relation, take out the Split Attribute of C4.5 decision tree, it is the key evaluation index of hand-held mobile terminal, and builds an analytical model affecting hand-held mobile terminal pouplarity factor.
5. a kind of hand-held mobile terminal appraisal procedure based on data mining technology according to claim 1, it is characterised in that described step 5 specifically includes procedure below:
Process 5.1: user can before buying hand-held mobile terminal, according to oneself assessment to hand-held mobile terminal, travel through the node on described C4.5 decision tree, obtain whether this hand-held mobile terminal assessment result is oneself acceptable, then decide whether to buy；
Process 5.2: the market competitiveness can improve according to the key evaluation index of described hand-held mobile terminal in hand-held mobile terminal manufacturer, can show which index occupies deciding factor in hand-held mobile terminal assessment, it is analyzed in conjunction with self hand-held mobile terminal feature and function, improve deficiency, the hand-held mobile terminal making production more meets user's request
So, hand-held mobile terminal manufacturer is obtained with valuable improvement idea.
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| CN103530347A (en) * | 2013-10-09 | 2014-01-22 | 北京东方网信科技股份有限公司 | Internet resource quality assessment method and system based on big data mining |
| CN103559303A (en) * | 2013-11-15 | 2014-02-05 | 南京大学 | Evaluation and selection method for data mining algorithm |
| US20140324752A1 (en) * | 2013-03-15 | 2014-10-30 | Alexander Statnikov | Data Analysis Computer System and Method For Fast Discovery Of Multiple Markov Boundaries |
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| US20140324752A1 (en) * | 2013-03-15 | 2014-10-30 | Alexander Statnikov | Data Analysis Computer System and Method For Fast Discovery Of Multiple Markov Boundaries |
| CN103530347A (en) * | 2013-10-09 | 2014-01-22 | 北京东方网信科技股份有限公司 | Internet resource quality assessment method and system based on big data mining |
| CN103559303A (en) * | 2013-11-15 | 2014-02-05 | 南京大学 | Evaluation and selection method for data mining algorithm |
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Application publication date: 20160720 |