I. Theory and algorithms -- 1. Theoretical foundations -- 2. Algorithms -- II. Applications -- 3. Information retrieval -- 4. Text mining -- 5. Rule mining
Summary
"Concept Data Analysis: Theory and Applications is essential for researchers active in information processing and data mining as well as industry practitioners who are interested in creating a commercial product for concept data analysis or developing content management applications. Computer science students will also find it invaluable."--BOOK JACKET
Bibliography
Includes bibliographical references (pages [175]-195) and index
