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Machine Learning and Data Mining in Pattern Recognition. 5th International Conference, MLDM 2007, Leipzig, Germany, July 18-20, 2007, Proceedings - Softcover
Synopsis
This is the fifth event of MLDM in Pattern Recognition held in Leipzig (www.mldm.de). Today, there are many international meetings which are titled machine learning and data mining, whose topics are text mining, knowledge discovery, and applications. This meeting from the first time has focused on aspects of machine learning and data mining in pattern recognition problems. We planed to re-organise classical and well established pattern recognition paradigms from view points of machine learning and data mining. Though it was a challenging program in late 90 s, the idea has brought new starting points in pattern recognition and effects to the other areas such as cognitive computer vision. This year we can see new topics that raise attention in pattern recognition such as transductive inference and association rule mining. The topics of applied research have also increased and cover aspects such as mining spam, newsgroups and blogs, intrusion detection and networks, mining marketing data, medical, biological and environmental data mining, text and document mining. We see with pleasure an increasing number of papers for special aspects of image mining that are the traditional data in pattern recognition. Twenty-four papers have been selected for poster presentations that are published in the MLDM Poster Proceeding Volume. They cover such hot topics like text and document mining, image mining, network mining, support vector machines, feature selection, feature maps, prediction and classification, sequence mining, and sampling methods.
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