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
    • $129.99

Publisher Description

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).

GENRE
Computers & Internet
RELEASED
2010
June 27
LANGUAGE
EN
English
LENGTH
667
Pages
PUBLISHER
Springer Berlin Heidelberg
SELLER
Springer Nature B.V.
SIZE
19
MB
Advanced Data Mining and Applications Advanced Data Mining and Applications
2009
Advances in Data Mining - Theoretical Aspects and Applications Advances in Data Mining - Theoretical Aspects and Applications
2007
Advances in Data Mining. Applications and Theoretical Aspects Advances in Data Mining. Applications and Theoretical Aspects
2009
Advances in Intelligent Data Analysis X Advances in Intelligent Data Analysis X
2011
Advances on Data Mining: Applications and Theoretical Aspects Advances on Data Mining: Applications and Theoretical Aspects
2011
Discovery Science Discovery Science
2019
Advances in Data Mining. Medical Applications, E-Commerce, Marketing, and Theoretical Aspects Advances in Data Mining. Medical Applications, E-Commerce, Marketing, and Theoretical Aspects
2008
Machine Learning and Data Mining in Pattern Recognition Machine Learning and Data Mining in Pattern Recognition
2018
Machine Learning and Data Mining in Pattern Recognition Machine Learning and Data Mining in Pattern Recognition
2018
Advances in Data Mining. Applications and Theoretical Aspects Advances in Data Mining. Applications and Theoretical Aspects
2018
Machine Learning and Data Mining in Pattern Recognition Machine Learning and Data Mining in Pattern Recognition
2017
Advances in Data Mining. Applications and Theoretical Aspects Advances in Data Mining. Applications and Theoretical Aspects
2016