Information Fusion in Data Mining by Prof. Vicenç Torra.

Enregistré dans:

Détails bibliographiques
Auteur principal:	Torra, Prof. Vicenç (Auteur)
Collectivité auteur:	SpringerLink (Online service)
Format:	eBook
Langue:	English
Publié:	Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2003.
Édition:	1st ed. 2003.
Collection:	Studies in Fuzziness and Soft Computing, 123 Springer eBook Collection.
Sujets:	Applied mathematics. Engineering mathematics. Computers. Computer simulation. Information theory. Operations research. Decision making. Electronic resources (E-books)
Accès en ligne:	Click to view e-book
Holy Cross Note:	Loaded electronically. Electronic access restricted to members of the Holy Cross Community.

Table des matières:

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.

Documents similaires