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1 JMP WordMiner JMPer s Meeting ohsumi@ss.iij4u.or.jp yasuda@hic.co.jp All rights reserved. Copyright by Noboru Ohsumi, ISM Professor Emeritus. JMPer s Meeting TM JMP JMP version 6.0 WordMiner JMP Web 2 1

2 JMP 3 DMTM 4 2

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4 7 DM TMDM 8 4

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8 TMTM text categorization document clusteringdocument classification rule mining from text conceptrelationship mining from text information integration topic detection summarization, analysis of text collection knowledge acquisition/capture & understanding text navigation, visualization WebWeb CRM full text documents searchdocument retrieval 15 data science WordMiner data-driven experimental design) data collection mode analyzing 16 8

9 qualitative information ( GIFGI OFG TM Web HP WordMiner

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17 WordMiner 33 WordMiner 4 WordMiner

18 18 35 WordMiner JMP JMP WordMiner JMP 36 SOM WordMiner JMP WordMiner JMP

19 Web Q31. Q WordMiner A JMP B 38 AB 19

20 20 39 WordMiner JMP C C2 C1 D CD 40 WordMinerJMP 13

21 21 41 WordMinerJMP 14 42

22 43 JMP WordMinerJMP 44 22

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26 chaining effect 52 k- 7 k- -1 k-15 WordMiner

27 WordMiner WordMiner JMP WordMiner JMP 54 27

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31 WordMiner 14 WordMiner WordMiner WordMiner JMP

32 16 63 JMP JMP6.0 WordMiner JMP 64 32

Microsoft Word - 最終版 バックせどりismマニュアル .docx

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