Machine Learning and Data Mining in Pattern Recognition

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6th International Conference, MLDM 2009, Leipzig, Germany, July 23-25,2009, Proceedings, Lecture Notes in Computer Science 5632 – Lecture Notes in Artificial Intelligence

ISBN: 3642030696
ISBN 13: 9783642030697
Herausgeber: Petra Perner
Verlag: Springer Verlag GmbH
Umfang: xiv, 824 S.
Erscheinungsdatum: 10.07.2009
Auflage: 1/2009
Produktform: Kartoniert
Einband: Kartoniert

This book constitutes the refereed proceedings of the 6th International Conference on Machine Learning and Data Mining in Pattern Recognition, MLDM 2009, held in Leipzig, Germany, in July 2009. The 63 revised full papers presented were carefully reviewed and selected from 205 submissions. The papers are organized in topical sections on attribute discretization and data preparation; classification; ensemble classifier learning; associate rules and pattern minig; support vector machines; clustering; novelty and outlier detection; learning; data mining and multimedia data; text mining; aspects of data mining; as well as data mining in medicine.

Artikelnummer: 9724970 Kategorie:

Beschreibung

There is no royal road to science, and only those who do not dread the fatiguing climb of its steep paths have a chance of gaining its luminous summits. Karl Marx A Universial Genius of the 19th Century Many scientists from all over the world during the past two years since the MLDM 2007 have come along on the stony way to the sunny summit of science and have worked hard on new ideas and applications in the area of data mining in pattern r- ognition. Our thanks go to all those who took part in this year's MLDM. We appre- ate their submissions and the ideas shared with the Program Committee. We received over 205 submissions from all over the world to the International Conference on - chine Learning and Data Mining, MLDM 2009. The Program Committee carefully selected the best papers for this years program and gave detailed comments on each submitted paper. There were 63 papers selected for oral presentation and 17 papers for poster presentation. The topics range from theoretical topics for classification, clustering, association rule and pattern mining to specific data-mining methods for the different multimedia data types such as image mining, text mining, video mining and Web mining. Among these topics this year were special contributions to subtopics such as attribute discre- zation and data preparation, novelty and outlier detection, and distances and simila- ties.

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E-Mail: juergen.hartmann@springer.com

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