Advances in Data Mining - Theoretical Aspects and Applications Advances in Data Mining - Theoretical Aspects and Applications

Advances in Data Mining - Theoretical Aspects and Applications

7th Industrial Conference, ICDM 2007, Leipzig, Germany, July 14-18, 2007, Proceedings

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وصف الناشر

ICDM / MLDM Medaillie (limited edition) Meissner Porcellan, the “White Gold” of King August the Strongest of Saxonia ICDM 2007 was the seventh event in the Industrial Conference on Data Mining series and was held in Leipzig (www.data-mining-forum.de). For this edition the Program Committee received 96 submissions from 24 countries (see Fig. 1). After the peer-review process, we accepted 25 high-quality papers for oral presentation that are included in this proceedings book. The topics range from aspects of classification and prediction, clustering, Web mining, data mining in medicine, applications of data mining, time series and frequent pattern mining, and association rule mining. Germany 9,30% 4,17% China 9,30% 1,04% 6,98% 3,13% South Korea Czech Republic 6,98% 3,13% USA 6,98% 2,08% 4,65% 2,08% UK Portugal 4,65% 2,08% Iran 4,65% 2,08% India 4,65% 2,08% Brazil 4,65% 1,04% Hungary 4,65% 1,04% Mexico 4,65% 1,04% Finland 2,33% 1,04% Ireland 2,33% 1,04% Slovenia 2,33% 1,04% France 2,33% 1,04% Israel 2,33% 1,04% Spain 2,33% 1,04% Greece 2,33% 1,04% Italy 2,33% 1,04% Sweden 2,33% 1,04% Netherlands 2,33% 1,04% Malaysia 2,33% 1,04% Turkey 2,33% 1,04% Fig. 1. Distribution of papers among countries Twelve papers were selected for poster presentations that are published in the ICDM Poster Proceedings Volume.

النوع
كمبيوتر وإنترنت
تاريخ النشر
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١٨ أغسطس
اللغة
EN
الإنجليزية
عدد الصفحات
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الناشر
Springer Berlin Heidelberg
البائع
Springer Nature B.V.
الحجم
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‫م.ب.‬
Advances in Data Mining: Applications and Theoretical Aspects Advances in Data Mining: Applications and Theoretical Aspects
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Advances in Data Mining. Applications and Theoretical Aspects Advances in Data Mining. Applications and Theoretical Aspects
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Advances in Intelligent Data Analysis X Advances in Intelligent Data Analysis X
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Trends in Applied Intelligent Systems Trends in Applied Intelligent Systems
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Modern Approaches in Applied Intelligence Modern Approaches in Applied Intelligence
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Advances on Data Mining: Applications and Theoretical Aspects Advances on Data Mining: Applications and Theoretical Aspects
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Machine Learning and Data Mining in Pattern Recognition Machine Learning and Data Mining in Pattern Recognition
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Machine Learning and Data Mining in Pattern Recognition Machine Learning and Data Mining in Pattern Recognition
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Advances in Data Mining. Applications and Theoretical Aspects Advances in Data Mining. Applications and Theoretical Aspects
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Machine Learning and Data Mining in Pattern Recognition Machine Learning and Data Mining in Pattern Recognition
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