Relational Data Mining

Author:   Saso Dzeroski ,  Nada Lavrač
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Edition:   Softcover reprint of hardcover 1st ed. 2001
ISBN:  

9783642076046


Pages:   398
Publication Date:   15 December 2010
Format:   Paperback
Availability:   In Print   Availability explained
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Relational Data Mining


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Author:   Saso Dzeroski ,  Nada Lavrač
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint:   Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Edition:   Softcover reprint of hardcover 1st ed. 2001
Dimensions:   Width: 15.50cm , Height: 2.10cm , Length: 23.50cm
Weight:   0.640kg
ISBN:  

9783642076046


ISBN 10:   3642076041
Pages:   398
Publication Date:   15 December 2010
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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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 knowledge discovery from multi-relational data, and describes several interesting applications. … the book may stimulate the interest for practical applications of relational data mining and further research in the development of relational data mining techniques."" (Marco Botta, Computer Bulletin, Vol. 46 (1), 2003) ""It is very important to describe the intersection for data mining carefully. The presented book Relational Data Mining is doing this. The authors are well known researchers in the field. … The book is recommended warmly to students of computer science and mathematics and practitioners who have to deal with data mining in relational data bases."" (W. Gerhardt, Zentralblatt MATH, Vol. 1003, 2003)


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 knowledge discovery from multi-relational data, and describes several interesting applications. ! the book may stimulate the interest for practical applications of relational data mining and further research in the development of relational data mining techniques. (Marco Botta, Computer Bulletin, Vol. 46 (1), 2003) It is very important to describe the intersection for data mining carefully. The presented book Relational Data Mining is doing this. The authors are well known researchers in the field. ! The book is recommended warmly to students of computer science and mathematics and practitioners who have to deal with data mining in relational data bases. (W. Gerhardt, Zentralblatt MATH, Vol. 1003, 2003)


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