WO2008104742A3 - Rule generation - Google Patents

Rule generation Download PDF

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Publication number
WO2008104742A3
WO2008104742A3 PCT/GB2008/000572 GB2008000572W WO2008104742A3 WO 2008104742 A3 WO2008104742 A3 WO 2008104742A3 GB 2008000572 W GB2008000572 W GB 2008000572W WO 2008104742 A3 WO2008104742 A3 WO 2008104742A3
Authority
WO
WIPO (PCT)
Prior art keywords
data
values
data items
generating
model
Prior art date
Application number
PCT/GB2008/000572
Other languages
French (fr)
Other versions
WO2008104742A2 (en
Inventor
Terence Anthony Etchells
Ian Henry Jarman
Paulo Jorge Gomes Lisboa
Original Assignee
Univ Liverpool John Moores
Terence Anthony Etchells
Ian Henry Jarman
Paulo Jorge Gomes Lisboa
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Univ Liverpool John Moores, Terence Anthony Etchells, Ian Henry Jarman, Paulo Jorge Gomes Lisboa filed Critical Univ Liverpool John Moores
Publication of WO2008104742A2 publication Critical patent/WO2008104742A2/en
Publication of WO2008104742A3 publication Critical patent/WO2008104742A3/en

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Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00—Computing arrangements using knowledge-based models
    • G06N5/02—Knowledge representation; Symbolic representation
    • G06N5/022—Knowledge engineering; Knowledge acquisition
    • G06N5/025—Extracting rules from data

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  • Engineering & Computer Science (AREA)
  • General Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Data Mining & Analysis (AREA)
  • Evolutionary Computation (AREA)
  • Computational Linguistics (AREA)
  • Computing Systems (AREA)
  • General Physics & Mathematics (AREA)
  • Mathematical Physics (AREA)
  • Software Systems (AREA)
  • Artificial Intelligence (AREA)
  • Complex Calculations (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)

Abstract

A method of generating a rule from a predefined model, the model taking as input an input data set comprising a plurality of data items and generating an output value based upon values of said plurality of data items, a first data item of said plurality of data items taking a value from a set of at least three values. The method comprises processing an initial data set comprising initial values for each of said data items in said input data set to generate a plurality of modified data sets. The processing comprises modifying a value of said first data item while maintaining values of all others of said plurality of data items constant, applying each of said modified data sets to said model to generate a plurality of output values and generating at least one rule based upon said output values.
PCT/GB2008/000572 2007-02-27 2008-02-20 Rule generation WO2008104742A2 (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US90402007P 2007-02-27 2007-02-27
US60/904,020 2007-02-27

Publications (2)

Publication Number Publication Date
WO2008104742A2 WO2008104742A2 (en) 2008-09-04
WO2008104742A3 true WO2008104742A3 (en) 2008-11-27

Family

ID=39661439

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/GB2008/000572 WO2008104742A2 (en) 2007-02-27 2008-02-20 Rule generation

Country Status (1)

Country Link
WO (1) WO2008104742A2 (en)

Families Citing this family (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPWO2016147654A1 (en) * 2015-03-18 2018-01-11 日本電気株式会社 Rule generating device, rule generating method, and recording medium for storing rule generating program
US10824951B2 (en) * 2016-03-14 2020-11-03 Huawei Technologies Co., Ltd. System and method for rule generation using data processed by a binary classifier
US10917302B2 (en) 2019-06-11 2021-02-09 Cisco Technology, Inc. Learning robust and accurate rules for device classification from clusters of devices

Non-Patent Citations (8)

* Cited by examiner, † Cited by third party
Title
ETCHELLS, JARMAN, LISBOA: "Empirically derived rules for adjuvant chemotherapy in breast cancer treatment", 2ND INTERNATIONAL CONFERENCE ON MEDICAL SIGNAL AND INFORMATION PROCESSING (MEDSIP'04), 6 September 2004 (2004-09-06) - 8 September 2004 (2004-09-08), XP002497637, Retrieved from the Internet <URL:http://www.cms.livjm.ac.uk/2nrich/docs/Papers/osre.pdf> *
ETCHELLS, LISBOA: "Orthogonal search-based rule extraction (OSRE) for trained neural networks: a practical and efficient approach", IEEE TRANSACTIONS ON NEURAL NETWORKS, vol. 17, no. 2, March 2006 (2006-03-01), pages 374 - 384, XP002497639, Retrieved from the Internet <URL:http://dx.doi.org/10.1109/TNN.2005.863472> *
ETCHELLS: "Rule extraction from neural networks: a practical and efficient approach", PHD THESIS MANUSCRIPT; LIVERPOOL JOHN MOORES UNIVERSITY, October 2003 (2003-10-01), XP002497677, Retrieved from the Internet <URL:http://www.cms.livjm.ac.uk/etchells/phd/etchells.pdf> *
JARMAN , LISBOA: "A comparative study of NPI and PLANN-ARD by prognostic accuracy and treatment allocation for breast cancer patients", 2ND INTERNATIONAL CONFERENCE ON MEDICAL SIGNAL AND INFORMATION PROCESSING (MEDSIP'04), 6 September 2004 (2004-09-06) - 8 September 2004 (2004-09-08), XP002497638, Retrieved from the Internet <URL:http://www.cms.livjm.ac.uk/2nrich/docs/Papers/studynpi.pdf> *
JARMAN, ETCHELLS, LISBOA: "Intelligent interface for adjuvant treatment planning in breast cancer", WORKSHOP ON INTELLIGENT DATA ANALYSIS IN MEDECINE AND PHARMACOLOGY (IDAMAP'05); 10TH EUROPEAN CONFERENCE ON ARTIFICIAL INTELLIGENCE IN MEDECINE (AIME'05), 24 July 2005 (2005-07-24), XP002497635, Retrieved from the Internet <URL:http://www.ailab.si/idamap/idamap2005/papers/09 Jarman CR.pdf> *
LISBOA, BIGANZOLI, TAKTAK, ETCHELLS, JARMAN, HANE AUNG, AMBROGI: "Assessing flexible models and rule extraction from censored survival data", INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN'07), 12 August 2007 (2007-08-12) - 17 August 2007 (2007-08-17), pages 1663 - 1668, XP031154843, Retrieved from the Internet <URL:http://dx.doi.org/10.1109/IJCNN.2007.4371207> *
LISBOA, ETCHELLS, JARMAN, HANE AUNG, CHABAUD, BACHELOT, PEROL, GARGI, BOURDÈS, BONNEVAY, NÉGRIER: "Time-to-event analysis with artificial neural networks: An integrated analytical and rule-based study for breast cancer", NEURAL NETWORKS, vol. 21, no. 2-3, 28 December 2007 (2007-12-28), pages 414 - 426, XP022526433, Retrieved from the Internet <URL:http://dx.doi.org/10.1016/j.neunet.2007.12.034> *
MARTIN, JARMAN, LISBOA, ETCHELLS: "Profiling prognostic groups of breast cancer patients using clustering", 2ND INTERNATIONAL CONFERENCE ON MEDICAL SIGNAL AND INFORMATION PROCESSING (MEDSIP'04), 6 September 2004 (2004-09-06) - 8 September 2004 (2004-09-08), XP002497636, Retrieved from the Internet <URL:http://www.cms.livjm.ac.uk/2nrich/docs/Papers/profiling.pdf> *

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