Uncertainty handling and quality assessment in data mining:
Gespeichert in:
| Hauptverfasser: | , , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
London ; Berlin ; Heidelberg [u.a.]
Springer
2003
|
| Schriftenreihe: | Advanced information and knowledge processing
|
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | Literaturangaben |
| Beschreibung: | IX, 226 S. graph. Darst. |
| ISBN: | 1852336552 9781852336554 |
Internformat
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Datensatz im Suchindex
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| adam_text | MICHALIS VAZIRGIANNIS, MARIA HALKIDI AND DIMITRIOS GUNOPULOS UNCERTAINTY
HANDLING AND QUALITY ASSESSMENT IN DATA MINING WITH 35 FIGURES SPRINGER
VI UNCERTAINTY HANDLING AND QUALITY ASSESSMENT IN DATA MINING 2.5.7
VISUALIZATION AND DIMENSIONALITY REDUCTION 60 2.5.8 REGRESSION 61 2.5.9
SUMMARIZATION 61 2.6 SUMMARY 61 REFERENCES 63 QUALITY ASSESSMENT IN DATA
MINING 73 3.1 INTRODUCTION 73 3.2 DATA PRE-PROCESSING AND QUALITY
ASSESSMENT 75 3.3 EVALUATION OF CLASSIFICATION METHODS 76 3.3.1
CLASSIFICATION MODEL ACCURACY 76 3.3.1.1 ALTERNATIVES TO THE ACCURACY
MEASURE 77 3.3.2 EVALUATING THE ACCURACY OF CLASSIFICATION ALGORITHMS 78
3.3.2.1 MCNEMAR S TEST 79 3.3.2.2 A TEST FOR THE DIFFERENCE OF TWO
PROPORTIONS 80 3.3.2.3 THE RESAMPLED PAIRED T TEST 81 3.3.2.4 THE WOLD
CROSS-VALIDATED PAIRED T TEST 82 3.3.3 INTERESTINGNESS MEASURES OF
CLASSIFICATION RULES 82 3.3.3.1 RULE-INTEREST FUNCTION 82 3.3.3.2 SMYTH
AND GOODMAN S J-MEASURE 83 3.3.3.3 GENERAL IMPRESSIONS 83 3.3.3.4 GAGO
AND BENTO S DISTANCE METRIC 84 3.4 ASSOCIATION RULES 85 3.4.1
ASSOCIATION RULES INTERESTINGNESS MEASURES 85 3.4.1.1 COVERAGE 86
3.4.1.2 SUPPORT 86 3.4.1.3 CONFIDENCE 86 3.4.1.4 LEVERAGE 87 3.4.1.5
LIFT 88 3.4.1.6/ RULE TEMPLATES 89 3.4.1.7 GRAY AND ORLOWSKA S
INTERESTINGNESS 90 3.4.1.8 DONG AND LI S INTERESTINGNESS 90 3.4.1.9
PECULIARITY 91 3.4.1.10 CLOSED ASSOCIATION RULES MINING 92 3.5 CLUSTER
VALIDITY 93 3.5.1 FUNDAMENTAL CONCEPTS OF CLUSTER VALIDITY 95 CONTENTS
VII 3.5.2 EXTERNAL AND INTERNAL VALIDITY INDICES 96 3.5.2.1 HYPOTHESIS
TESTING IN CLUSTER VALIDITY 96 3.5.2.2 EXTERNAL CRITERIA 98 3.5.2.3
INTERNAL CRITERIA 101 3.5.3 RELATIVE CRITERIA 102 3.5.3.1 CRISP
CLUSTERING 104 3.5.3.2 FUZZY CLUSTERING 115 3.5.4 OTHER APPROACHES FOR
CLUSTER VALIDITY 118 3.5.5 AN EXPERIMENTAL STUDY ON CLUSTER VALIDITY 120
* 3.5.5.1 A COMPARATIVE STUDY 120 3.6 SUMMARY 121 REFERENCES 123
UNCERTAINTY HANDLING IN DATA MINING 129 4.1 INTRODUCTION 129 4.2 BASIC
CONCEPTS ON FUZZY LOGIC 131 4.2.1 FUZZY SET THEORY 132 4.2.2 MEMBERSHIP
FUNCTIONS 133 4.2.2.1 HYPERTRAPEZOIDAL FUZZY MEMBERSHIP FUNCTIONS 134
4.2.2.2 JOINT DEGREE OF MEMBERSHIP 136 4.2.3 FUZZY SETS AND INFORMATION
MEASURES 137 4.3 BASIC CONCEPTS ON PROBABILISTIC THEORY 138 4.3.1
UNCERTAINTY QUANTIFIED PROBABILISTICALLY 139 4.3.1.1 BAYESIAN THEOREM
139 4.4 PROBABILISTIC AND FUZZY APPROACHES 140 4.5 THE EM ALGORITHM 141
4.5.1 GENERAL DESCRIPTION OF EM ALGORITHM 141 4.6 FUZZY CLUSTER ANALYSIS
143 4.6.1 FUZZY C-MEANS AND ITS VARIANTS 143 4.6.2 FUZZY C-MEANS FOR
OBJECT-DATA 145 4.6.3 FUZZY C-MEANS (FCM) ALTERNATIVES 146 4.6.4
APPLYING FUZZY C-MEANS METHODOLOGY TO RELATIONAL DATA.... 148 4.6.5 THE
FUZZY C-MEANS ALGORITHM FOR RELATIONAL DATA 148 4.6.5.1 COMMENTS ON FCM
FOR RELATIONAL DATA 150 4.6.6 NOISE FUZZY CLUSTERING ALGORITHM 151 VIII
UNCERTAINTY HANDLING AND QUALITY ASSESSMENT IN DATA MINING 4.6.7
CONDITIONAL FUZZY C-MEANS CLUSTERING 152 4.7 FUZZY CLASSIFICATION
APPROACHES 154 4.7.1 FUZZY DECISION TREES 154 4.7.1.1 BUILDING A FUZZY
DECISION TREE 154 4.7.1.2 INFERENCE FOR DECISION ASSIGNMENT 155 4.7.2
FUZZY RULES 159 4.8 MANAGING UNCERTAINTY AND QUALITY IN THE
CLASSIFICATION PROCESS 160 4.8.1 FRAMEWORK DESCRIPTION 161 4.8.2 MAPPING
TO THE FUZZY DOMAIN 163 4.8.2.1 CLASSIFICATION SPACE (CS) 163 4.8.2.2
CLASSIFICATION VALUE SPACE (CVS) 165 4.8.3 INFORMATION MEASURES FOR
DECISION SUPPORT 166 4.8.3.1 CLASS ENERGY METRIC 167 , 4.8.3.2 ATTRIBUTE
ENERGY METRIC 168 4.8.4 QUERIES & DECISION SUPPORT 168 4.8.5
CLASSIFICATION SCHEME QUALITY ASSESSMENT 170 4.9 FUZZY ASSOCIATION RULES
171 4.9.1 DEFINING FUZZY SETS 172 4.9.2 FUZZY ASSOCIATION RULE
DEFINITION 173 4.9.2.1 FUZZY SUPPORT 174 4.9.2.2 FUZZY CONFIDENCE 174
4.9.2.3 FUZZY CORRELATION 174 4.9.3 MINING FUZZY ASSOCIATION RULES
ALGORITHMS 175 4.10 SUMMARY 177 REFERENCES 178 UMINER: A DATA MINING
SYSTEM HANDLING UNCERTAINTY AND QUALITY 183 5.1 INTRODUCTION 183 5.2
UMINER DEVELOPMENT APPROACH 184 5.3 SYSTEM ARCHITECTURE 186 5.4 UMINER S
DATA MINING TASKS 187 5.5 DEMONSTRATION 191 CONTENTS IX 5.5.1 CLUSTERING
PROCESS 191 5.6 SUMMARY 195 REFERENCES 197 CASE STUDIES 199 6.1
EXTRACTING ASSOCIATION RULES FOR MEDICAL DATA ANALYSIS 199 6.2 THE
MINING PROCESS 200 6.2.1 COLLECTION OF DATA 200 6.2.2 DATA CLEANING AND
PRE-PROCESSING 200 6.2.3 FURTHER ANALYSIS OF EXTRACTED ASSOCIATION RULES
201 6.3 CLUSTER ANALYSIS OF EPIDEMIOLOGICAL DATA 215 REFERENCES 221
INDEX 223
|
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| indexdate | 2024-07-09T19:18:07Z |
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| isbn | 1852336552 9781852336554 |
| language | English |
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| spelling | Vazirgiannis, Michalis Verfasser aut Uncertainty handling and quality assessment in data mining Michalis Vazirgiannis, Maria Halkidi and Dimitrios Gunopulos London ; Berlin ; Heidelberg [u.a.] Springer 2003 IX, 226 S. graph. Darst. txt rdacontent n rdamedia nc rdacarrier Advanced information and knowledge processing Literaturangaben Data mining Data mining Quality control Fuzzy-Logik (DE-588)4341284-1 gnd rswk-swf Qualitätskontrolle (DE-588)4047968-7 gnd rswk-swf Unsicherheit (DE-588)4186957-6 gnd rswk-swf Data Mining (DE-588)4428654-5 gnd rswk-swf Validierung (DE-588)4187357-9 gnd rswk-swf Cluster-Analyse (DE-588)4070044-6 gnd rswk-swf (DE-588)4143413-4 Aufsatzsammlung gnd-content Data Mining (DE-588)4428654-5 s Qualitätskontrolle (DE-588)4047968-7 s Validierung (DE-588)4187357-9 s DE-604 Unsicherheit (DE-588)4186957-6 s Fuzzy-Logik (DE-588)4341284-1 s Cluster-Analyse (DE-588)4070044-6 s Halkidi, Maria Verfasser aut Gunopulos, Dimitrios Verfasser aut HEBIS Datenaustausch Darmstadt application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=010511270&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Vazirgiannis, Michalis Halkidi, Maria Gunopulos, Dimitrios Uncertainty handling and quality assessment in data mining Data mining Data mining Quality control Fuzzy-Logik (DE-588)4341284-1 gnd Qualitätskontrolle (DE-588)4047968-7 gnd Unsicherheit (DE-588)4186957-6 gnd Data Mining (DE-588)4428654-5 gnd Validierung (DE-588)4187357-9 gnd Cluster-Analyse (DE-588)4070044-6 gnd |
| subject_GND | (DE-588)4341284-1 (DE-588)4047968-7 (DE-588)4186957-6 (DE-588)4428654-5 (DE-588)4187357-9 (DE-588)4070044-6 (DE-588)4143413-4 |
| title | Uncertainty handling and quality assessment in data mining |
| title_auth | Uncertainty handling and quality assessment in data mining |
| title_exact_search | Uncertainty handling and quality assessment in data mining |
| title_full | Uncertainty handling and quality assessment in data mining Michalis Vazirgiannis, Maria Halkidi and Dimitrios Gunopulos |
| title_fullStr | Uncertainty handling and quality assessment in data mining Michalis Vazirgiannis, Maria Halkidi and Dimitrios Gunopulos |
| title_full_unstemmed | Uncertainty handling and quality assessment in data mining Michalis Vazirgiannis, Maria Halkidi and Dimitrios Gunopulos |
| title_short | Uncertainty handling and quality assessment in data mining |
| title_sort | uncertainty handling and quality assessment in data mining |
| topic | Data mining Data mining Quality control Fuzzy-Logik (DE-588)4341284-1 gnd Qualitätskontrolle (DE-588)4047968-7 gnd Unsicherheit (DE-588)4186957-6 gnd Data Mining (DE-588)4428654-5 gnd Validierung (DE-588)4187357-9 gnd Cluster-Analyse (DE-588)4070044-6 gnd |
| topic_facet | Data mining Data mining Quality control Fuzzy-Logik Qualitätskontrolle Unsicherheit Data Mining Validierung Cluster-Analyse Aufsatzsammlung |
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