The aim of this book is to gather the most recent works that address issues related to the concept of mining complex data. The whole knowledge discovery process being involved, our goal is to provide researchers dealing with each step of this process by key entries. Actually, managing complex data within the KDD process implies to work on every step, starting from the pre-processing (e.g. structuring and organizing) to the visualization and interpretation (e.g. sorting or filtering) of the results, via the data mining methods themselves (e.g. classification, clustering, frequent patterns extraction, etc.). The papers presented here are selected from the workshop papers held yearly since 2006.
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The aim of this book is to gather the most recent works that address issues related to the concept of mining complex data. The whole knowledge discovery process being involved, our goal is to provide researchers dealing with each step of this process by key entries. Actually, managing complex data within the KDD process implies to work on every step, starting from the pre-processing (e.g. structuring and organizing) to the visualization and interpretation (e.g. sorting or filtering) of the results, via the data mining methods themselves (e.g. classification, clustering, frequent patterns extraction, etc.). The papers presented here are selected from the workshop papers held yearly since 2006.
Imprint | Springer-Verlag |
Country of origin | Germany |
Series | Studies in Computational Intelligence, 165 |
Release date | October 2010 |
Availability | Expected to ship within 10 - 15 working days |
First published | 2009 |
Editors | Djamel A. Zighed, Shusaku Tsumoto, Zbigniew W. Ras, Hakim Hacid |
Dimensions | 235 x 155 x 16mm (L x W x T) |
Format | Paperback |
Pages | 302 |
Edition | Softcover reprint of hardcover 1st ed. 2009 |
ISBN-13 | 978-3-642-09980-9 |
Barcode | 9783642099809 |
Categories | |
LSN | 3-642-09980-7 |