Concept Data Analysis: Theory and Applications

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John Wiley & Sons, Sep 20, 2004 - Computers - 220 pages
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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.†

  

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Contents

Theoretical Foundations
3
Algorithms
25
Information Retrieval
85
Text Mining
109
Rule Mining
141
References
175
Index
197
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Page 189 - SE Robertson and S. Walker. Some simple effective approximations to the 2-Poisson model for probabilistic weighted retrieval. In Proceedings of the 17th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pages 232-241, Dublin, 1994.
Page 179 - In Proceedings of the 15th annual international ACM SIGIR conference on Research and development in information retrieval, pages 318-329.
Page 180 - A logical approach to reasoning by analogy. In Proceedings of the 10th International Joint Conference on Artificial Intelligence.

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