Overview

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. 

Full Product Details

Author:   Claudio Carpineto (University of Rome, Italy) ,  Giovanni Romano (University of Rome, Italy)
Publisher:   John Wiley & Sons Inc
Imprint:   John Wiley & Sons Inc
Dimensions:   Width: 17.30cm , Height: 1.80cm , Length: 25.20cm
Weight:   0.567kg
ISBN:  

9780470850558

ISBN 10:   0470850558
Pages:   224
Publication Date:   27 July 2004
Audience:   Professional and scholarly ,  College/higher education ,  Professional & Vocational ,  Undergraduate
Format:   Hardback
Publisher's Status:   Active
Availability:   Out of stock  
The supplier is temporarily out of stock of this item. It will be ordered for you on backorder and shipped when it becomes available.

Table of Contents

Foreword. Preface. I: THEORY AND ALGORITHMS. 1. Theoretical Foundations. 1.1 Basic Notions of Orders and Lattices. 1.2 Context, Concept, and Concept Lattice. 1.3 Many-valued Contexts. 1.4 Bibliographic Notes. 2. Algorithms. 2.1 Constructing Concept Lattices. 2.2 Incremental Lattice Update. 2.3 Visualization. 2.4 Adding Knowledge to Concept Lattices. 2.5 Bibliographic Notes. II: APPLICATIONS. 3. Information Retrieval. 3.1 Query Modification. 3.2 Document Ranking 4. Text Mining. 4.1 Mining the Content of the ACM Digital Library. 4.2 MiningWeb Retrieval Results with CREDO. 4.3 Bibliographic Notes. 5. Rule Mining. 5.1 Implications. 5.2 Functional Dependencies. 5.3 Association Rules. 5.4 Classification Rules. 5.5 Bibliographic Notes. References. Index.

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Author Information

Claudio Carpineto is the head of the Information mining group at Fondazione Ugo Bordoni, in Rome. He has published numerous articles on artificial intelligence. Giovanni Romano is the author of Concept Data Analysis: Theory and Applications, published by Wiley.

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