Claudio Carpineto & Giovanni Romano 
Concept Data Analysis [PDF ebook] 
Theory and Applications

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.

Cuprins

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 Mining Web 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.

Despre autor

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.