Machine Learning and Data Mining in Pattern Recognition (eBook, PDF)
5th International Conference, MLDM 2007, Leipzig, Germany, July 18-20, 2007, Proceedings
Redaktion: Perner, Petra
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Ever wondered what the state of the art is in machine learning and data mining? Well, now you can find out.This excellent book constitutes the refereed proceedings of the 5th International Conference on Machine Learning and Data Mining in Pattern Recognition, held in Leipzig, Germany, in July 2007.The 66 revised full papers presented together with 1 invited talk were carefully reviewed and selected from more than 250 submissions. The papers are organized in topical sections and the package features online content as well as updates.These sections cover classification; feature selection, extrac...
Ever wondered what the state of the art is in machine learning and data mining? Well, now you can find out.
This excellent book constitutes the refereed proceedings of the 5th International Conference on Machine Learning and Data Mining in Pattern Recognition, held in Leipzig, Germany, in July 2007.
The 66 revised full papers presented together with 1 invited talk were carefully reviewed and selected from more than 250 submissions. The papers are organized in topical sections and the package features online content as well as updates.
These sections cover classification; feature selection, extraction and dimensionality reduction; clustering; and support vector machines.
The book also features right up-to-date information on transductive inference; association rule mining; mining spam, newsgroups and blogs; and intrusion detection and networks.
Next, the papers featured cover frequent and common item set mining; mining marketing data; structural data mining; image mining; and medical, biological, and environmental data mining
Lastly, the book covers the highly relevant topic of text and document mining.
This excellent book constitutes the refereed proceedings of the 5th International Conference on Machine Learning and Data Mining in Pattern Recognition, held in Leipzig, Germany, in July 2007.
The 66 revised full papers presented together with 1 invited talk were carefully reviewed and selected from more than 250 submissions. The papers are organized in topical sections and the package features online content as well as updates.
These sections cover classification; feature selection, extraction and dimensionality reduction; clustering; and support vector machines.
The book also features right up-to-date information on transductive inference; association rule mining; mining spam, newsgroups and blogs; and intrusion detection and networks.
Next, the papers featured cover frequent and common item set mining; mining marketing data; structural data mining; image mining; and medical, biological, and environmental data mining
Lastly, the book covers the highly relevant topic of text and document mining.
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