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- つづる さかど
- 7 years ago
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Transcription
1 HotMiner:Discovering Hot Topics from Dirty Text Malu Castellanos
2 Overview
3 Overview
4 Introduction
5 Introduction Hewlett-Packard 2 Search Case case
6 Introduction Search Log Postfiltering
7 Introduction Case Log
8 Part I:Mining Search Logs SearchView,
9 Preprocessing HP 3 Usage) DoSearch ReviewResultsDoc DoSearch Usage,Query Web search view
10 Preprocessing V) Wij i 2 k-means
11 Postfiltering SearchView:: HTML
12 Postfiltering Probability Distribution 2 w = k ij ij [ tfij log( n / df j )] Wij TF IDF n tfij i j k i Flexibility to augument K di dj AVG_SIM(di) AVG_SIM(C
13 Posftifltering AVG_SIM(dij S(Ck) AVG_SIM(di) Z Z(AVG_SIM(di)) = [ AVG_SIM(di -AVG_SIM(Ck)] / S(Ck)
14 Postfiltering L Postfiltering
15 Experimental Result HotMiner HP 100 case A. B. A B:
16 Experimental Result HotMiner WEB
17 Experimental Result SOM_PAK Fig6.3 SOM SOM
18 Experimental Result TD IDF a e a,c,e
19 Experimental Result A. B. B
20 Experimental Result Shared Memory memory shared memory Shared Memory Memory shared Shared Memory Memory shared
21 Experimental Result Fig6.4 patch HP-UX for Y2K compliance Fig6.5 sendmail mail unknown sendmail SOM (Fig6.4 Fig.6.6 Y2K
22 Experimental Result SearchView ContentView AVG_SIM(Ck) S(Ck)
23 PartII Mining Case Log Search Log Case log Search Log Case Case
24 Technical Description case
25 Thesaurus Assistant
26 Thesaurus Assistant Smith-Waterman Thesaurus Creation
27 Sentence Identifier elsif
28 Sentence Identifier
29 Sentence Extractor IR P149
30 TF/IDF Sentence Extractor P149
31 Sentence Extractor case
32 Sentence Extractor IR 2 2 P151
33 Experimental Results 5000 case 15 case
34 Mining Case Excerpts for Hot Topics 5 Fig.6.9) case case case SearchLog SOM Searchlog case F-measure
35 Conclusions Hotminer Search Case HP Search Log Case Log:
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Introduction Contents
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