Information Fusion in Data Mining by Prof. Vicenç Torra.

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Бібліографічні деталі
Автор:	Torra, Prof. Vicenç (Автор)
Співавтор:	SpringerLink (Online service)
Формат:	eКнига
Мова:	English
Опубліковано:	Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2003.
Редагування:	1st ed. 2003.
Серія:	Studies in Fuzziness and Soft Computing, 123 Springer eBook Collection.
Предмети:	Applied mathematics. Engineering mathematics. Computers. Computer simulation. Information theory. Operations research. Decision making. Electronic resources (E-books)
Онлайн доступ:	Click to view e-book
Holy Cross Note:	Loaded electronically. Electronic access restricted to members of the Holy Cross Community.

Зміст:

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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