Machine Learning and Data Mining in Pattern Recognition Lecture Notes in Artificial Intelligence

Machine Learning and Data Mining in Pattern Recognition Lecture Notes in Artificial Intelligence 5th International Conference, MLDM 2007, Leipzig, Germany, July 18-20, 2007, Proceedings - Lecture Notes in Computer Science

2007th edition

Paperback (16 Jul 2007)

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Publisher's Synopsis

MLDM / ICDM Medaillie Meissner Porcellan, the "White Gold" of King August the Strongest of Saxonia Gottfried Wilhelm von Leibniz, the great mathematician and son of Leipzig, was watching over us during our event in Machine Learning and Data Mining in Pattern Recognition (MLDM 2007). He can be proud of what we have achieved in this area so far. We had a great research program this year. This was the fifth MLDM in Pattern Recognition event held in Leipzig (www.mldm.de). Today, there are many international meetings carrying the title machine learning and data mining, whose topics are text mining, knowledge discovery, and applications. This meeting from the very first event has focused on aspects of machine learning and data mining in pattern recognition problems. We planned to reorganize classical and well-established pattern recognition paradigms from the view points of machine learning and data mining. Although it was a challenging program in the late 1990s, the idea has provided new starting points in pattern recognition and has influenced other areas such as cognitive computer vision. For this edition, the Program Committee received 258 submissions from 37 countries (see Fig. 1). To handle this high number of papers was a big challenge for the reviewers. Every paper was thoroughly reviewed and all authors received a detailed report on their submitted work.

Book information

ISBN: 9783540734987
Publisher: Springer Berlin Heidelberg
Imprint: Springer
Pub date:
Edition: 2007th edition
Language: English
Number of pages: 916
Weight: 1354g
Height: 162mm
Width: 238mm
Spine width: 51mm