Information Fusion in Data Mining

Information Fusion in Data Mining by Prof. Vicenç Torra.

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 fus...

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Bibliographic Details
Main Author: Torra, Prof. Vicenç (Author)
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2003.
Edition:1st ed. 2003.
Series:Studies in Fuzziness and Soft Computing, 123
Springer eBook Collection.
Subjects:
Applied mathematics.
Engineering mathematics.
Computers.
Computer simulation.
Information theory.
Operations research.
Decision making.
Electronic resources (E-books)
Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.
Table of Contents:
  • Trends in Information fusion in Data Mining
  • On some aggregation operators for numerical information
  • Choquet integral and Sugeno integral in the Particle Deflection Plane
  • Data Mining Using a Probabilistic Weighted Ordered Weighted Average (PWOWA) Operator
  • Mining Interesting Patterns in Multiple Data Sources
  • Discovery of Temporal Knowledge in Medical Time-Series Databases using Moving Average, Multiscale Matching and Rule Induction
  • Record linkage methods for multidatabase data mining
  • Modelling data by the Choquet integral
  • An Algorithm Based on Alternative Projections for a Fuzzy Measure Identification Problem
  • Combining Information Fusion with String Pattern Analysis: A New Method for Predicting Future Purchase Behavior
  • Ensemble Learnig by a Fuzzy Classification Systems for Pattern Classification
  • Data Mining Using Granular Linguistic Summaries.

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