Information Fusion in Data Mining

Information fusion is becoming a major need in data mining and knowledge discovery in databases. This book presents some recent fusion techniques that are currently in use in data mining, as well as data mining applications that use information fusion. Special focus of the book is on information fusion in preprocessing, model building and information extraction with various applications. Front Matter....Pages I-IX Trends in Information fusion in Data Mining....Pages 1-6 Front Matter....Pages 7-7 On some aggregation operators for numerical information....Pages 9-26 Choquet integral and Sugeno integral as aggregation functions....Pages 27-39 Data Mining Using a Probabilistic Weighted Ordered Weighted Average (PWOWA) Operator....Pages 41-57 Front Matter....Pages 59-59 Mining Interesting Patterns in Multiple Data Sources....Pages 61-77 Discovery of Temporal Knowledge in Medical Time-Series Databases using Moving Average, Multiscale Matching and Rule Induction....Pages 79-100 Record linkage methods for multidatabase data mining....Pages 101-132 Front Matter....Pages 133-133 Modelling data by the Choquet integral....Pages 135-148 An Algorithm Based on Alternative Projections for a Fuzzy Measure Identification Problem....Pages 149-159 Combining Information Fusion with String Pattern Analysis: A New Method for Predicting Future Purchase Behavior....Pages 161-187 Ensembling Classification Systems by a Fuzzy Rule-Based System....Pages 189-208 Front Matter....Pages 209-209 Data Mining Using Granular Linguistic Summaries....Pages 211-229 Back Matter....Pages 231-233

Information fusion is becoming a major requirement in data mining and knowledge discovery in databases. This book presents some recent fusion techniques that are currently in use in data mining, as well as data mining applications that use information fusion. Special focus of the book is on information fusion in preprocessing, model building and information extraction with various applications.

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