Mining for strategic competitive intelligence: foundations and applications
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Berlin [u.a.]
Springer
2012
|
| Schriftenreihe: | Studies in computational intelligence
406 |
| Schlagworte: | |
| Online-Zugang: | Inhaltstext Inhaltsverzeichnis |
| Beschreibung: | XVII, 206 S. Ill., graph. Darst. |
| ISBN: | 9783642277139 3642277136 |
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Datensatz im Suchindex
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IMAGE 1
CONTENTS
1 INTRODUCTION 1
1.1 MOTIVATION 1
1.2 DEFINITION O F SCOPE 2
1.3 ORGANIZATION AND CONTENT 3
1.3.1 CHAPTER OUTLINE 3
1.3.2 PUBLICATIONS 3
PART I FOUNDATIONS AND USE CASES
2 RESEARCH FOUNDATIONS 7
2.1 INTRODUCTION 7
2.2 INFORMATION RETRIEVAL AND SEARCH TECHNOLOGY 8
2.2.1 VECTOR SPACE MODEL BASICS 8
2.2.1.1 REDUCING TERM VECTOR DIMENSIONALITY 10
2.2.1.2 TEXTUAL SEARCH BASED ON V S M 12
2.2.2 O N SEARCH ENGINE ANATOMY 12
2.2.2.1 INVERTED INDEX ORGANIZATION 13
2.2.2.2 TOWARDS SEMANTIC SEARCH ENGINES 14
2.3 DATA MINING 16
2.3.1 SUPERVISED LEARNING 17
2.3.1.1 DECISION TREE INDUCTION 17
2.3.1.2 NEURAL NETWORKS 18
2.3.1.3 NAIVE-BAYES CLASSIFIERS 19
2.3.1.4 SUPPORT VECTOR MACHINES 2 0
2.3.2 UNSUPERVISED LEARNING 2 0
2.3.2.1 &-MEANS CLUSTERING 21
2.3.2.2 EXPECTATION MAXIMIZATION 2 2
2.3.2.3 SELF-ORGANIZING M A P S 2 3
2.3.2.4 DENSITY-BASED CLUSTERING 2 4
2.4 NATURAL LANGUAGE PROCESSING AND TEXT MINING 2 6
2.4.1 TEXT-BASED CLASSIFICATION AND CLUSTERING 2 7
2.4.2 N A M E D ENTITY RECOGNITION 2 7
HTTP://D-NB.INFO/1018059628
IMAGE 2
XVI
CONTENLS
2.4.3 KEYWORD EXTRACTION 2 8
2.4.4 IDENTIFICATION O F WORD COLLOCATIONS 2 9
2.5 SOCIAL NETWORK ANALYSIS 2 9
2.5.1 S N A IN THE CONTEXT O F COMPETITIVE STRATEGIC INTELLIGENCE 3 0
2.5.2 NETWORK CENTRALITY MEASURES 31
2.5.2.1 DEGREE CENTRALITY 3 2
2.5.2.2 CLOSENESS CENTRALITY 3 2
2.5.2.3 BETWEENNESS CENTRALITY 3 3
2.5.2.4 EIGENVECTOR CENTRALITY 3 4
2.5.3 STATISTICAL PROPERTIES O F SOCIAL NETWORKS 3 6
2.5.3.1 O N RANDOM GRAPHS 37
2.5.3.2 SMALL-WORLD MODELS 37
2.5.3.3 PREFERENTIAL ATTACHMENT MODELS 3 8
2.5.4 CONCLUSION 3 9
2.6 SENTIMENT DETECTION 4 0
2.6.1 ISSUES AND CHALLENGES 41
2.6.1.1 IMPACT O F CONTEXT ON POLARITY 41
2.6.1.2 TOPIC IDENTIFICATION 4 2
2.6.1.3 LANGUAGE, GRAMMAR, AND IDIOMATIC EXPRESSIONS 4 2
2.6.2 SENTIMENT DETECTION TECHNIQUES 4 4
2.6.2.1 MACHINE LEARNING AND LEXICAL APPROACHES 4 4
2.6.2.2 ENHANCING SENTIMENT DETECTION THROUGH N L P APPROACHES 4 6
2.6.3 GOING BEYOND RESEARCH 4 8
2.6.4 CONCLUSION AND OUTLOOK 4 8
3 COMPETITIVE INTELLIGENCE CAPTURING SYSTEMS 51
3.1 INTRODUCTION 51
3.2 C O M M O N PLATFORM ARCHITECTURE 5 4
3.2.1 DOCUMENT COLLECTION L A Y E R 5 4
3.2.2 ANALYSIS AND SEMANTIC ANNOTATION LAYER 5 4
3.2.3 REPORTING AND USER INTERFACE 5 5
3.3 TYPICAL ANALYSIS TASKS 5 5
3.4 SURVEY O F EXISTING SYSTEMS 5 8
4 RESEARCH TOPICS AND APPLICATIONS 6 3
4.1 INTRODUCTION 6 3
4.2 TREND AND TOPIC ANALYSIS 6 3
4.2.1 REPUTATION MONITORING PLATFORM 6 4
4.2.1.1 ANALYSIS SERVICES 6 5
4.2.1.2 RESEARCH CONTRIBUTIONS 6 9
4.2.2 EXPLORATORY CUSTOMER FEEDBACK ANALYSIS 6 9
4.2.2.1 PLATFORM COMPONENTS 7 0
IMAGE 3
CONTENTS
X V I I
4.2.2.2 CONCLUSION 7 2
4.2.3 TEMPORAL TOPIC EVOLUTION 7 2
4.2.4 ANALYSIS O F SOCIAL TAGGING BEHAVIOR 7 3
4.3 AUTOMATED NEWS EXTRACTION 7 4
4.3.1 PARTICLE SWARM OPTIMIZATION FOR LEARNING 7 8
4.3.1.1 P S O TRAINING PROCEDURE 7 8
4.3.1.2 EVALUATION AND APPLICATION 8 0
4.3.2 LEARNING BASED ON CLASSIFICATION MODELS 8 0
4.3.2.1 BLOCK LABELLING 81
4.3.2.2 CLASSIFIER TRAINING AND EVALUATION 82
4.3.2.3 FEATURE IMPACT ASSESSMENT 8 3
4.4 DISCOVERY O F TECHNOLOGY SYNERGIES 8 4
4.4.1 SEMANTIC SIMILARITY BETWEEN N A M E D ENTITIES 85
4.4.1.1 USE O F BACKGROUND KNOWLEDGE 85
4.4.1.2 CREATING SEMANTIC FINGERPRINTS 8 6
4.4.1.3 COMPUTING FINGERPRINT SIMILARITY 87
4.4.1.4 TRAINING AND EVALUATION 87
4.4.2 WEB 2.0 LEVERAGE IN FINDING TECHNOLOGY SYNERGIES 8 8
4.4.2.1 CHARACTERISTICS O F SYNERGETIC TECHNOLOGIES 8 9
4.4.2.2 BUILDING CLASSIFIERS 9 0
4.4.2.3 EMPIRICAL EVALUATION 91
4.5 CONCLUDING REMARKS 9 3
5 CONCLUSION 9 5
5.1 SUMMARY 9 5
5.2 OUTLOOK AND FUTURE DIRECTIONS 9 6
REFERENCES 9 9
PART II SELECTED PUBLICATIONS
6 RESEARCH PAPERS - SECTION 4.2 109
TOWARDS AUTOMATED REPUTATION AND BRAND MONITORING ON THE WEB I L L
MINING AND EXPLORING CUSTOMER FEEDBACK USING LANGUAGE MODELS AND
TREEMAPS 121
7 RESEARCH PAPERS - SECTION 4.3 135
CONTENT EXTRACTION FROM NEWS PAGES USING PARTICLE SWARM OPTIMIZATION 137
DISTILLING INFORMATIVE CONTENT FROM H T M L NEWS PAGES USING MACHINE
LEARNING CLASSIFIERS 151
8 RESEARCH PAPERS - SECTION 4.4 167
AUTOMATIC COMPUTATION O F SEMANTIC PROXIMITY USING TAXONOMIC KNOWLEDGE
169
LEVERAGING SOURCES O F COLLECTIVE WISDOM ON THE WEB FOR DISCOVERING
TECHNOLOGY SYNERGIES 189 |
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| dewey-search | 658.4038011 |
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| dewey-tens | 650 - Management and auxiliary services |
| discipline | Informatik Wirtschaftswissenschaften |
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| isbn | 9783642277139 3642277136 |
| language | English |
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| spelling | Ziegler, Cai-Nicolas 1977- Verfasser (DE-588)130088382 aut Mining for strategic competitive intelligence foundations and applications Cai-Nicolas Ziegler Berlin [u.a.] Springer 2012 XVII, 206 S. Ill., graph. Darst. txt rdacontent n rdamedia nc rdacarrier Studies in computational intelligence 406 Informationsmanagement (DE-588)4114012-6 gnd rswk-swf World Wide Web 2.0 (DE-588)7548364-6 gnd rswk-swf Data Mining (DE-588)4428654-5 gnd rswk-swf Maschinelles Lernen (DE-588)4193754-5 gnd rswk-swf Wettbewerbsvorteil (DE-588)4219652-8 gnd rswk-swf Wettbewerbsvorteil (DE-588)4219652-8 s Informationsmanagement (DE-588)4114012-6 s Data Mining (DE-588)4428654-5 s Maschinelles Lernen (DE-588)4193754-5 s World Wide Web 2.0 (DE-588)7548364-6 s DE-604 Studies in computational intelligence 406 (DE-604)BV020822171 406 X:MVB text/html http://deposit.dnb.de/cgi-bin/dokserv?id=3940437&prov=M&dok%5Fvar=1&dok%5Fext=htm Inhaltstext DNB Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=025097038&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Ziegler, Cai-Nicolas 1977- Mining for strategic competitive intelligence foundations and applications Studies in computational intelligence Informationsmanagement (DE-588)4114012-6 gnd World Wide Web 2.0 (DE-588)7548364-6 gnd Data Mining (DE-588)4428654-5 gnd Maschinelles Lernen (DE-588)4193754-5 gnd Wettbewerbsvorteil (DE-588)4219652-8 gnd |
| subject_GND | (DE-588)4114012-6 (DE-588)7548364-6 (DE-588)4428654-5 (DE-588)4193754-5 (DE-588)4219652-8 |
| title | Mining for strategic competitive intelligence foundations and applications |
| title_auth | Mining for strategic competitive intelligence foundations and applications |
| title_exact_search | Mining for strategic competitive intelligence foundations and applications |
| title_full | Mining for strategic competitive intelligence foundations and applications Cai-Nicolas Ziegler |
| title_fullStr | Mining for strategic competitive intelligence foundations and applications Cai-Nicolas Ziegler |
| title_full_unstemmed | Mining for strategic competitive intelligence foundations and applications Cai-Nicolas Ziegler |
| title_short | Mining for strategic competitive intelligence |
| title_sort | mining for strategic competitive intelligence foundations and applications |
| title_sub | foundations and applications |
| topic | Informationsmanagement (DE-588)4114012-6 gnd World Wide Web 2.0 (DE-588)7548364-6 gnd Data Mining (DE-588)4428654-5 gnd Maschinelles Lernen (DE-588)4193754-5 gnd Wettbewerbsvorteil (DE-588)4219652-8 gnd |
| topic_facet | Informationsmanagement World Wide Web 2.0 Data Mining Maschinelles Lernen Wettbewerbsvorteil |
| url | http://deposit.dnb.de/cgi-bin/dokserv?id=3940437&prov=M&dok%5Fvar=1&dok%5Fext=htm http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=025097038&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
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