Machine Learning and Data Mining in Pattern Recognition : Third International Conference, MLDM 2003, Leipzig, Germany, July 5-7, 2003, proceedings, PDF eBook

Machine Learning and Data Mining in Pattern Recognition : Third International Conference, MLDM 2003, Leipzig, Germany, July 5-7, 2003, proceedings PDF

Edited by Petra Perner, Azriel Rosenfeld

Part of the Lecture Notes in Computer Science series

PDF

  • Information

Description

TheInternationalConferenceonMachineLearningandDataMining(MLDM)is the third meeting in a series of biennial events, which started in 1999, organized by the Institute of Computer Vision and Applied Computer Sciences (IBaI) in Leipzig.

MLDM began as a workshop and is now a conference, and has brought the topic of machine learning and data mining to the attention of the research community.

Seventy-?ve papers were submitted to the conference this year.

The program committeeworkedhardtoselectthemostprogressiveresearchinafairandc- petent review process which led to the acceptance of 33 papers for presentation at the conference.

The 33 papers in these proceedings cover a wide variety of topics related to machine learning and data mining.

The two invited talks deal with learning in case-based reasoning and with mining for structural data.

The contributed papers can be grouped into nine areas: support vector machines; pattern dis- very; decision trees; clustering; classi?cation and retrieval; case-based reasoning; Bayesian models and methods; association rules; and applications.

We would like to express our appreciation to the reviewers for their precise andhighlyprofessionalwork.WearegratefultotheGermanScienceFoundation for its support of the Eastern European researchers.

We appreciate the help and understanding of the editorial sta? at Springer Verlag, and in particular Alfred Hofmann,whosupportedthepublicationoftheseproceedingsintheLNAIseries.

Last, but not least, we wish to thank all the speakers and participants who contributed to the success of the conference.

Information

Save 15%

£44.99

£38.24

Information