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Relational data mining : with 69 tables

Author: Sašo Džeroski
Publisher: Berlin : Springer, 2001.
Edition/Format:   Print book : EnglishView all editions and formats
Summary:

As the first book devoted to relational data mining, this coherently written multi-author monograph provides a thorough introduction and systematic overview of the area.

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Material Type: Internet resource
Document Type: Book, Internet Resource
All Authors / Contributors: Sašo Džeroski
ISBN: 3540422897 9783540422891
OCLC Number: 248617054
Description: XIX, 398 Seiten : Illustrationen, Diagramme
Contents: I. Introduction.- 1. Data Mining in a Nutshell.- 2. Knowledge Discovery in Databases: An Overview.- 3. An Introduction to Inductive Logic Programming.- 4. Inductive Logic Programming for Knowledge Discovery in Databases.- II. Techniques.- 5. Three Companions for Data Mining in First Order Logic.- 6. Inducing Classification and Regression Trees in First Order Logic.- 7. Relational Rule Induction with CProgol4.4: A Tutorial Introduction.- 8. Discovery of Relational Association Rules.- 9. Distance Based Approaches to Relational Learning and Clustering.- III. From Propositional to Relational Data Mining.- 10. How to Upgrade Propositional Learners to First Order Logic: A Case Study.- 11. Propositionalization Approaches to Relational Data Mining.- 12. Relational Learning and Boosting.- 13. Learning Probabilistic Relational Models.- IV. Applications and Web Resources.- 14. Relational Data Mining Applications: An Overview.- 15. Four Suggestions and a Rule Concerning the Application of ILP.- 16. Internet Resources on ILP for KDD.- Author Index.
Responsibility: Sašo Džeroski ... (eds.).
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From the reviews:"The book is a collection of contributions from several authors who worked in the field. It provides quite an extensive overview of different techniques and strategies used in Read more...

 
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