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Trend Mining:

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Bibliographische Detailangaben
1. Verfasser:	Streibel, Olga Katarzyna 1976- (VerfasserIn)
Format:	Abschlussarbeit Buch
Sprache:	English
Veröffentlicht:	2013
Schlagworte:	Trendforschung Volltext Information Retrieval Data Mining Hochschulschrift
Online-Zugang:	kostenfrei Inhaltsverzeichnis
Beschreibung:	[14], 175 S. Ill., graph. Darst.

Internformat

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Datensatz im Suchindex

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adam_text	CONTENTS ABSTRACT MOTIVATION CONTENTS LIST OF FIGURES LIST OF TABLES I INTRODUCTION 1 1 TREND EXAMPLE 3 2 THESIS FOCUS 5 2.1 THE PROBLEM AND SOLUTION 5 2.2 RESEARCH QUESTIONS 6 2.3 CONTENT STRUCTURE 6 3 APPROACH AND CONTRIBUTIONS 9 3.1 APPROACH 9 3.2 SCIENTIFIC METHOD 10 3.3 CONTRIBUTIONS 12 II BACKGROUND AND THEORY 17 4 PROBLEM SETTINGS 19 4.1 DIFFERENT PERSPECTIVES ON A TREND 19 4.1.1 SOCIOLOGY 20 4.1.2 STATISTICS 21 4.1.3 INFORMATION RETRIEVAL 23 4.2 DEFINITIONS 24 4.2.1 A COMMON-SENSE TREND DEFINITION 24 4.2.2 TREND DEFINITION DIVERSITY IN THE RELEVANT RESEARCH 25 4.2.3 DEFINITIONS PROPOSED IN THIS THESIS 26 4.3 STEPPING UP ON COMPLEXITY 27 HTTP://D-NB.INFO/1048025462 CONTENTS 5 STATE OF THE ART 29 5.1 RESEARCH AREAS 29 5.2 DIRECTIONS IN TREND MINING RESEARCH 32 5.2.1 GENERAL MODELS 33 5.2.2 EVENT-BASED AND TDT 35 5.3 TOOLS 36 5.3.1 ETDS TOOLS 36 5.3.2 ALGORITHMS, THE WEB AND THE FUNCTIONALITY TOOLS 38 5.4 CONCLUSIONS 39 6 THEORY 43 6.1 INTRODUCTION 43 6.2 DIFFERENT APPROACHES 46 6.2.1 VECTOR SPACE MODEL 47 6.2.2 PROBABILISTIC APPROACH 47 6.2.3 GRAPH-BASED APPROACH 48 6.3 K-MEANS CLUSTERING 48 6.3.1 GENERAL DESCRIPTION 49 6.4 K-MEANS: BATCH AND INCREMENTAL 49 6.4.1 DISTANCE METRICS 51 6.4.2 ALGORITHM 51 6.4.3 GEOMETRICAL INTERPRETATION 52 6.5 TOPIC MODELING 52 6.5.1 GENERAL DESCRIPTION 52 6.5.2 LATENT DIRICHLET ALLOCATION 53 6.5.3 GIBBS SAMPLING 54 6.5.4 ALGORITHM 55 6.5.5 GEOMETRICAL INTERPRETATION 55 6.6 ONTOLOGY 55 6.6.1 GENERAL DESCRIPTION 56 6.6.2 EXPRESSIVITY LEVELS 57 6.6.3 EXAMPLE 58 III TREND MODEL 61 7 GENERAL CONSIDERATIONS 63 7.1 PRELIMINARIES 63 7.1.1 SPECIFICS OF THE MARKET RESEARCH CASE 64 7.1.2 ENGINEERING METHODS 66 7.2 YET ANOTHER ONTOLOGY? 66 7.2.1 METHODOLOGY FOR TREND ONTOLOGY 67 CONTENTS 7.2.2 KEYWORD/CONCEPT BASED TREND ONTOLOGY 67 7.2.3 TERM FIELD BASED TREND ONTOLOGY 67 7.2.4 (TEMPORAL) INVARIANT SCHEME BASED TREND ONTOLOGY 69 7.3 IMPORTANT ISSUES 69 7.4 KNOWLEDGE DISCOVERY OR SEARCH PROBLEM? 71 8 TREND TEMPLATE 75 8.1 TREND TEMPLATE 75 8.1.1 ASSUMPTIONS 76 8.1.2 DEFINITIONS 76 8.1.3 FORMAL DESCRIPTION 77 8.2 TREND PROBABILITY 79 9 TREND ONTOLOGY 81 9.1 TREND ONTOLOGY - GENERAL IDEA 81 9.2 META ONTOLOGY 82 9.3 RELATIONAL 85 9.4 APPLYING THE META ONTOLOGY 87 9.4.1 TOPIC CATEGORIES 87 9.5 ALGORITHM 89 10 TREND INDICATION 91 10.1 PRELIMINARIES 91 10.2 DEFINITIONS 91 10.3 TREND ESTIMATION 94 IV EXPERIMENTS AND EVALUATION 97 11 USE CASES 99 11.1 THREE APPLICATION FIELDS 99 11.1.1 MINING TRENDS FROM SOCIAL NETWORK MESSAGES 100 11.1.2 TRENDS IN MARKET RESEARCH STUDIES 103 11.1.3 TRENDS ON GERMAN STOCK MARKET (DAX) 105 12 TEST CORPUS 107 12.1 THE HISTORICAL BACKGROUND 107 12.1.1 THE CRISIS IN 2007-2008 IN THE NEWS 107 12.1.2 ORIGINAL NEWS CORPUS 109 12.2 CONTENT AND SOURCES 112 12.3 TECHNIQUES FOR PREPROCESSING 112 12.3.1 PREPROCESSING 112 12.3.2 NAMED ENTITY RECOGNITION 114 CONTENTS 12.3.3 PART OF SPEECH TAGGING 115 12.3.4 FINAL FORMAT 116 12.3.5 VIZUALIZATION 117 12.4 RESULTING CORPUS 118 13 RESULTS 121 13.1 GENERAL INTRODUCTION INTO EVALUATION 121 13.1.1 POSSIBLE EVALUATION DIRECTIONS 123 13.1.2 POSSIBLE EVALUATION APPROACHES 124 13.1.3 RELEVANT EVALUATION METHODS 125 13.1.4 BASIC METRICS 126 13.2 EXPERIMENTAL EVALUATION 127 13.2.1 EVALUATION FRAME 128 13.3 EXPERIMENTS CONDUCTED 129 13.3.1 CORPUS 129 13.3.2 NLP ON THE CORPUS 130 13.3.3 TREND INDICATION 133 13.3.4 TREND ONTOLOGY 138 13.3.5 TOPIC MODELS 141 13.3.6 K-MEANS CLUSTERING 142 13.4 SUMMARY 145 14 OUTLOOK 147 OUTLOOK 147 14.1 SUMMARY 147 14.1.1 TREND MINING AS A RESEARCH FIELD . 147 14.1.2 KNOWLEDGE-BASED APPROACHES TO TREND MINING 148 14.2 CRITICAL ASPECTS 149 14.3 FUTURE WORK 150 BIBLIOGRAPHY 153 A TREMIT: THE TREND MINING TOOL 163 B ZUSAMMENFASSUNG UND KURZLEBENSLAUF 171
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author	Streibel, Olga Katarzyna 1976-
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discipline	Informatik
format	Thesis Book
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subject_GND	(DE-588)4316413-4 (DE-588)4740819-4 (DE-588)4072803-1 (DE-588)4428654-5 (DE-588)4113937-9
title	Trend Mining
title_auth	Trend Mining
title_exact_search	Trend Mining
title_full	Trend Mining
title_fullStr	Trend Mining
title_full_unstemmed	Trend Mining
title_short	Trend Mining
title_sort	trend mining
topic	Trendforschung (DE-588)4316413-4 gnd Volltext (DE-588)4740819-4 gnd Information Retrieval (DE-588)4072803-1 gnd Data Mining (DE-588)4428654-5 gnd
topic_facet	Trendforschung Volltext Information Retrieval Data Mining Hochschulschrift
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