Machine Learning and Data Mining in Pattern Recognition [electronic resource] : 10th International Conference, MLDM 2014, St. Petersburg, Russia, July 21-24, 2014. Proceedings / edited by Petra Perner.
Contributor(s): Perner, Petra [editor.] | SpringerLink (Online service).
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BookSeries: Lecture Notes in Computer Science: 8556Publisher: Cham : Springer International Publishing : Imprint: Springer, 2014Description: XIV, 536 p. 188 illus. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783319089799.Subject(s): Computer science | Algorithms | Database management | Data mining | Artificial intelligence | Pattern recognition | Computer Science | Artificial Intelligence (incl. Robotics) | Data Mining and Knowledge Discovery | Pattern Recognition | Algorithm Analysis and Problem Complexity | Information Systems Applications (incl. Internet) | Database ManagementAdditional physical formats: Printed edition:: No titleDDC classification: 006.3 Online resources: Click here to access online Theoretical topics for classification -- Clustering -- Association rule.- Pattern mining.- Specific data mining methods for the different multimedia data types.- Image mining -- Text mining -- Video mining.- Web mining.
This book constitutes the refereed proceedings of the 10th International Conference on Machine Learning and Data Mining in Pattern Recognition, MLDM 2014, held in St. Petersburg, Russia in July 2014. The 40 full papers presented were carefully reviewed and selected from 128 submissions. The topics range from theoretical topics for classification, clustering, association rule and pattern mining to specific data mining methods for the different multimedia data types such as image mining, text mining, video mining and Web mining.
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