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.
| ISBN: | 9783540734987 |
| Publication date: | 16th July 2007 |
| Author: | Petra Perner |
| Publisher: | Springer an imprint of Springer Berlin Heidelberg |
| Format: | Paperback |
| Pagination: | 916 pages |
| Series: | Lecture Notes in Computer Science |
| Genres: |
Artificial intelligence Expert systems / knowledge-based systems Pattern recognition Computer vision Data mining Mathematical theory of computation Databases |
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.
Machine Learning and Data Mining in Pattern Recognition Lecture Notes in Artificial Intelligence features in the following genres: Artificial intelligence, Expert systems / knowledge-based systems, Pattern recognition, Computer vision, Data mining, Mathematical theory of computation, Databases
Machine Learning and Data Mining in Pattern Recognition Lecture Notes in Artificial Intelligence is available in Paperback
Machine Learning and Data Mining in Pattern Recognition Lecture Notes in Artificial Intelligence was written by Petra Perner and published by Springer an imprint of Springer Berlin Heidelberg
Machine Learning and Data Mining in Pattern Recognition Lecture Notes in Artificial Intelligence has 916 pages
Yes it is part of Lecture Notes in Computer Science series