|  | Carpineto, Claudio / Romano, Giovanni
Concept Data Analysis
Theory and Applications
 1. Auflage Juli 2004
99,90 Euro
2004. 220 Seiten, Hardcover
ISBN 978-0-470-85055-8 - John Wiley & Sons
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| Kurzbeschreibung
The recent advances in the acquisition, storage, and transmission of data in digital format, as witnessed by the advent of the World Wide Web, have dramatically increased the need for tools that effectively support users in retrieving, understanding, and mining the information and knowledge contained in those data. Conceptual Data Analysis fulfills an important role by helping fill this gap. Elegancent and versatile, this title differs from statistical data analysis in that the emphasis is on recognizing and generalizing structural similarities, such as set inclusion relation from the data description, and not on mathematical manipulations of probability distributions.
Aus dem Inhalt
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 modi.cation.
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.
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