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Bisociative Knowledge Discovery
Michael R. (University Of Konstanz) . Ed(S): Berthold
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Description for Bisociative Knowledge Discovery
paperback. The focus of this book, and the BISON project from which the contributions originate, is a network based integration of data repositories of a variety of types, and the development of new ways to analyse and explore the resulting gigantic information networks. Editor(s): Berthold, Michael R. (University of Konstanz). Series: Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence. Num Pages: 494 pages, 146 black & white illustrations, biography. BIC Classification: UKN; UNF; UNH; UYZG. Category: (P) Professional & Vocational. Dimension: 234 x 156 x 25. Weight in Grams: 689.
Modern knowledge discovery methods enable users to discover complex patterns of various types in large information repositories. However, the underlying assumption has always been that the data to which the methods are applied to originates from one domain. The focus of this book, and the BISON project from which the contributions are originating, is a network based integration of various types of data repositories and the development of new ways to analyse and explore the resulting gigantic information networks. Instead of finding well defined global or local patterns they wanted to find domain bridging associations which are, by definition, not ... Read more
Modern knowledge discovery methods enable users to discover complex patterns of various types in large information repositories. However, the underlying assumption has always been that the data to which the methods are applied to originates from one domain. The focus of this book, and the BISON project from which the contributions are originating, is a network based integration of various types of data repositories and the development of new ways to analyse and explore the resulting gigantic information networks. Instead of finding well defined global or local patterns they wanted to find domain bridging associations which are, by definition, not ... Read more
Product Details
Format
Paperback
Publication date
2012
Publisher
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Germany
Number of pages
494
Condition
New
Series
Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence
Number of Pages
486
Place of Publication
Berlin, Germany
ISBN
9783642318290
SKU
V9783642318290
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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