Mining Complex Data

Mining Complex Data

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 resu...

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Other Authors: Ras, Zbigniew W.
Format: Book
Language:English
Published: Springer 2017
Subjects:
Computer Science
Database Management &
Online Access:http://repository.vnu.edu.vn/handle/VNU_123/26174
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Institution: Vietnam National University, Hanoi
Language: English
id oai:112.137.131.14:VNU_123-26174
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spelling oai:112.137.131.14:VNU_123-261742020-07-14T03:46:32Z Mining Complex Data Ras, Zbigniew W. Tsumoto, Shusaku Zighed, Djamel A. Computer Science Database Management & 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. 2017-04-11T04:16:49Z 2017-04-11T04:16:49Z 2008 Book 978-3-540-68415-2 http://repository.vnu.edu.vn/handle/VNU_123/26174 en 275 p. application/pdf Springer
institution Vietnam National University, Hanoi
building VNU Library & Information Center
country Vietnam
collection VNU Digital Repository
language English
topic Computer Science
Database Management &
spellingShingle Computer Science
Database Management &
Mining Complex Data
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.
author2 Ras, Zbigniew W.
author_facet Ras, Zbigniew W.
format Book
title Mining Complex Data
title_short Mining Complex Data
title_full Mining Complex Data
title_fullStr Mining Complex Data
title_full_unstemmed Mining Complex Data
title_sort mining complex data
publisher Springer
publishDate 2017
url http://repository.vnu.edu.vn/handle/VNU_123/26174
_version_ 1680964083579355136

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