Concept Data Analysis

Theory and Applications

Claudio Carpineto, Giovanni Romano

202 pages, parution le 11/08/2004

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Résumé

With the advent of the Web along with the unprecedented amount of information available in electronic format, conceptual data analysis is more useful and practical than ever, because this technology addresses important limitations of the systems that currently support users in their quest for information. Concept Data Analysis: Theory & Applications is the first book that provides a comprehensive treatment of the full range of algorithms available for conceptual data analysis, spanning creation, maintenance, display and manipulation of concept lattices. The accompanying website allows you to gain a greater understanding of the principles covered in the book through actively working on the topics discussed.

The three main areas explored are interactive mining of documents or collections of documents (including Web documents), automatic text ranking, and rule mining from structured data. The potentials of conceptual data analysis in the application areas being considered are further illustrated by two detailed case studies.

Concept Data Analysis: Theory & Applications is essential for researchers active in information processing and management and industry practitioners who are interested in creating a commercial product for conceptual data analysis or developing content management applications.

Sommaire

Theory and algorithms
- Theoretical foundations
- Algorithms
Applications
- Information retrieval
- Text mining
- Rule mining

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Caractéristiques techniques

	PAPIER
Éditeur(s)	Wiley
Auteur(s)	Claudio Carpineto, Giovanni Romano
Parution	11/08/2004
Nb. de pages	202
Format	17,5 x 25
Couverture	Relié
Poids	570g
Intérieur	Noir et Blanc
EAN13	9780470850558