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OverviewFull Product DetailsAuthor: Saso Dzeroski , Nada LavračPublisher: 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: 9783642076046ISBN 10: 3642076041 Pages: 398 Publication Date: 15 December 2010 Audience: Professional and scholarly , Professional & Vocational Format: Paperback Publisher's Status: Active Availability: In Print ![]() 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. Table of ContentsReviewsFrom 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) Author InformationTab Content 6Author Website:Countries AvailableAll regions |