ENGLISH

Mining Complex Data: ECML/PKDD 2007 Third International Workshop, MCD 2007, Warsaw, Poland, September 17-21, 2007, Revised Selected Papers

By Marko Grobelnik , Shusaku Tsumoto , Zbigniew W. Ras , Dunja Mladenic (auth.) , Miha Grcar , Djamel Zighed (eds.)

Book information

Publisher
Springer-Verlag Berlin Heidelberg
Year
2008
ISBN
978-3-540-68415-2, 978-3-540-68416-9
DOI
10.1007/978-3-540-68416-9
Language
english
Format
PDF
Filesize
12 MB (12396270 bytes)
Series
Lecture Notes in Computer Science 4944 Lecture Notes in Artificial Intelligence
Edition
1
Pages
265\275
Time added
2014-01-18 08:00:00
Data Mining and Knowledge Discovery; Information S

Description

This book constitutes the refereed proceedings of the Third International Workshop on Mining Complex Data, MCD 2007, held in Warsaw, Poland, in September 2007, co-located with ECML and PKDD 2007. The 20 revised full papers presented were carefully reviewed and selected; they present original results on knowledge discovery from complex data. In contrast to the typical tabular data, complex data can consist of heterogenous data types, can come from different sources, or live in high dimensional spaces. All these specificities call for new data mining strategies.

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