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

Advances in Data Mining: Applications and Theoretical Aspects

10th Industrial Conference, ICDM 2010, Berlin, Germany, July 12-14, 2010. Proceedings

    • ‏129٫99 US$
    • ‏129٫99 US$

وصف الناشر

These are the proceedings of the tenth event of the Industrial Conference on Data Mining ICDM held in Berlin (www.data-mining-forum.de). For this edition the Program Committee received 175 submissions. After the pe- review process, we accepted 49 high-quality papers for oral presentation that are included in this book. The topics range from theoretical aspects of data mining to app- cations of data mining such as on multimedia data, in marketing, finance and telec- munication, in medicine and agriculture, and in process control, industry and society. Extended versions of selected papers will appear in the international journal Trans- tions on Machine Learning and Data Mining (www.ibai-publishing.org/journal/mldm). Ten papers were selected for poster presentations and are published in the ICDM Poster Proceeding Volume by ibai-publishing (www.ibai-publishing.org). In conjunction with ICDM four workshops were held on special hot applicati- oriented topics in data mining: Data Mining in Marketing DMM, Data Mining in LifeScience DMLS, the Workshop on Case-Based Reasoning for Multimedia Data CBR-MD, and the Workshop on Data Mining in Agriculture DMA. The Workshop on Data Mining in Agriculture ran for the first time this year. All workshop papers will be published in the workshop proceedings by ibai-publishing (www.ibai-publishing.org). Selected papers of CBR-MD will be published in a special issue of the international journal Transactions on Case-Based Reasoning (www.ibai-publishing.org/journal/cbr).

النوع
كمبيوتر وإنترنت
تاريخ النشر
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٢٧ يونيو
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.‬
Advanced Data Mining and Applications Advanced Data Mining and Applications
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Advances in Data Mining - Theoretical Aspects and Applications Advances in Data Mining - Theoretical Aspects and Applications
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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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Advances on Data Mining: Applications and Theoretical Aspects Advances on Data Mining: Applications and Theoretical Aspects
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Discovery Science Discovery Science
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Advances in Data Mining. Medical Applications, E-Commerce, Marketing, and Theoretical Aspects Advances in Data Mining. Medical Applications, E-Commerce, Marketing, 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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Advances in Data Mining. Applications and Theoretical Aspects Advances in Data Mining. Applications and Theoretical Aspects
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