Machine Learning and Data Mining in Pattern Recognition

This book constitutes the refereed proceedings of the 13th International Conference on Machine Learning and Data Mining in Pattern Recognition, MLDM 2017, held in New York, NY, USA in July/August 2017.The 31 full papers presented in this book were carefully reviewed and selected from 150 submissions. The topics range from theoretical topics for classification, clustering, association rule and pattern mining to specific data mining methods for the different multi-media data types such as image mining, text mining, video mining, and Web mining.

Machine Learning and Data Mining in Pattern Recognition features in the following genres: Artificial intelligence, Data mining, Expert systems / knowledge-based systems, Pattern recognition, Algorithms and data structures, Applied computing, Databases

Machine Learning and Data Mining in Pattern Recognition is available in Paperback

Machine Learning and Data Mining in Pattern Recognition was written by Petra Perner and published by Springer International Publishing AG

Machine Learning and Data Mining in Pattern Recognition has 452 pages

Yes it is part of Lecture Notes in Artificial Intelligence series

£40.49