Machine Learning and Data Mining in Pattern Recognition  11th International Conference, MLDM 2015, Hamburg, Germany, July 20-21, 2015, Proceedings /  [electronic resource] : 
edited by Petra Perner. 
 - IX, 454 p. 132 illus.  online resource. 
 - Lecture Notes in Computer Science,  9166  0302-9743 ; .
 - Lecture Notes in Computer Science,  9166 .
<br/><br/>Graph Mining -- Classification and regression -- Sentiment analysis -- Data preparation and missing values -- Association and sequential rule mining -- Support vector machines -- Frequent item set mining and time series analysis -- Clustering -- Text mining -- Applications data mining. 
<br/><br/> This book constitutes the refereed proceedings of the 11th International Conference on Machine Learning and Data Mining in Pattern Recognition, MLDM 2015, held in Hamburg, Germany, in July 2015. The 41 full papers presented were carefully reviewed and selected from 123 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. 
<br/><br/><label>ISBN: </label>9783319210247 
<br/><br/><label>Standard No.: </label>10.1007/978-3-319-21024-7  doi 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Computer science.<br/>Algorithms.<br/>Database management.<br/>Data mining.<br/>Artificial intelligence.<br/>Pattern recognition.<br/>Computer Science.<br/>Data Mining and Knowledge Discovery.<br/>Pattern Recognition.<br/>Algorithm Analysis and Problem Complexity.<br/>Information Systems Applications (incl. Internet).<br/>Database Management.<br/>Artificial Intelligence (incl. Robotics).
<br/><br/><label>LC Class. No.: </label>QA76.9.D343 
<br/><br/><label>Dewey Class. No.: </label>006.312