WO2009054038A1 - Method, program and device for making 2 class classification prediction model - Google Patents

Method, program and device for making 2 class classification prediction model Download PDF

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Publication number
WO2009054038A1
WO2009054038A1 PCT/JP2007/070567 JP2007070567W WO2009054038A1 WO 2009054038 A1 WO2009054038 A1 WO 2009054038A1 JP 2007070567 W JP2007070567 W JP 2007070567W WO 2009054038 A1 WO2009054038 A1 WO 2009054038A1
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WO
WIPO (PCT)
Prior art keywords
class
classification
making
sample set
judgment
Prior art date
Application number
PCT/JP2007/070567
Other languages
French (fr)
Japanese (ja)
Inventor
Kohtarou Yuta
Original Assignee
Fujitsu Limited
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 Fujitsu Limited filed Critical Fujitsu Limited
Priority to PCT/JP2007/070567 priority Critical patent/WO2009054038A1/en
Publication of WO2009054038A1 publication Critical patent/WO2009054038A1/en

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Classifications

    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16B—BIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
    • G16B40/00—ICT specially adapted for biostatistics; ICT specially adapted for bioinformatics-related machine learning or data mining, e.g. knowledge discovery or pattern finding
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/24—Classification techniques
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16B—BIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
    • G16B40/00—ICT specially adapted for biostatistics; ICT specially adapted for bioinformatics-related machine learning or data mining, e.g. knowledge discovery or pattern finding
    • G16B40/20—Supervised data analysis

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  • Engineering & Computer Science (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Physics & Mathematics (AREA)
  • Data Mining & Analysis (AREA)
  • Health & Medical Sciences (AREA)
  • Medical Informatics (AREA)
  • Theoretical Computer Science (AREA)
  • Evolutionary Biology (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Artificial Intelligence (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Evolutionary Computation (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Biophysics (AREA)
  • Software Systems (AREA)
  • Public Health (AREA)
  • Epidemiology (AREA)
  • Biotechnology (AREA)
  • Bioethics (AREA)
  • General Health & Medical Sciences (AREA)
  • Spectroscopy & Molecular Physics (AREA)
  • Databases & Information Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)

Abstract

A method for obtaining a 2 class classification prediction model having a high classification rate by a simple operation. The method for making a 2 class classification prediction model comprises a step (S1) for preparing a sample set including a plurality of samples belonging to a first class and a plurality of samples belonging to a second class as leaning data, a step (S5) for making a first judgment function by performing 2 class judgment analysis for classifying the sample set into a first class or a second class, a step (S6) for assigning individual samples to any one of the first class or the second class by applying the first judgment function to the sample set, steps (S9, S10) for determining whether the class assigned to the individual samples of the sample set is a correct classification class or a wrong classification class, and a step (S16) for making a second judgment function by performing 2 class judgment analysis for classifying the individual samples of the sample set into the correct classification class or the wrong classification class wherein the first and second judgment functions are set as classification prediction models of class unknown sample.
PCT/JP2007/070567 2007-10-22 2007-10-22 Method, program and device for making 2 class classification prediction model WO2009054038A1 (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
PCT/JP2007/070567 WO2009054038A1 (en) 2007-10-22 2007-10-22 Method, program and device for making 2 class classification prediction model

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/JP2007/070567 WO2009054038A1 (en) 2007-10-22 2007-10-22 Method, program and device for making 2 class classification prediction model

Publications (1)

Publication Number Publication Date
WO2009054038A1 true WO2009054038A1 (en) 2009-04-30

Family

ID=40579148

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/JP2007/070567 WO2009054038A1 (en) 2007-10-22 2007-10-22 Method, program and device for making 2 class classification prediction model

Country Status (1)

Country Link
WO (1) WO2009054038A1 (en)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2011107975A (en) * 2009-11-17 2011-06-02 Nippon Telegr & Teleph Corp <Ntt> Multiple class classifying device, multiple class classifying method, and multiple class classifying program
JP2019020791A (en) * 2017-07-12 2019-02-07 国立大学法人岐阜大学 Toxicity predicting method and utilization thereof

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH07121494A (en) * 1993-10-26 1995-05-12 Kokusai Denshin Denwa Co Ltd <Kdd> Parallel neural network
JPH08227408A (en) * 1995-02-22 1996-09-03 Meidensha Corp Neural network
JP2003036412A (en) * 2001-07-24 2003-02-07 Toshiba Corp Method and device for evaluating chemical toxicity and database device

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH07121494A (en) * 1993-10-26 1995-05-12 Kokusai Denshin Denwa Co Ltd <Kdd> Parallel neural network
JPH08227408A (en) * 1995-02-22 1996-09-03 Meidensha Corp Neural network
JP2003036412A (en) * 2001-07-24 2003-02-07 Toshiba Corp Method and device for evaluating chemical toxicity and database device

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2011107975A (en) * 2009-11-17 2011-06-02 Nippon Telegr & Teleph Corp <Ntt> Multiple class classifying device, multiple class classifying method, and multiple class classifying program
JP2019020791A (en) * 2017-07-12 2019-02-07 国立大学法人岐阜大学 Toxicity predicting method and utilization thereof

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