Modeling Decisions for Artificial Intelligence  11th International Conference, MDAI 2014, Tokyo, Japan, October 29-31, 2014. Proceedings /  [electronic resource] : 
edited by Vicen�c Torra, Yasuo Narukawa, Yasunori Endo. 
 - XVIII, 241 p. 47 illus.  online resource. 
 - Lecture Notes in Computer Science,  8825  0302-9743 ; .
 - Lecture Notes in Computer Science,  8825 .
<br/><br/>Aggregation Operators and Decision Making -- Inference Systems Optimization -- Clustering and Similarity -- Data Mining and Data Privacy. 
<br/><br/> This book constitutes the proceedings of the 11th International Conference on Modeling Decisions for Artificial Intelligence, MDAI 2014, held in Tokyo, Japan, in October 2014. The 19 revised full papers presented together with an invited paper were carefully reviewed and selected from 38 submissions. They deal with the theory and tools for modeling decisions, as well as applications that encompass decision making processes and information fusion techniques and are organized in topical sections on aggregation operators and decision making, optimization, clustering and similarity, and data mining and data privacy. 
<br/><br/><label>ISBN: </label>9783319120546 
<br/><br/><label>Standard No.: </label>10.1007/978-3-319-12054-6  doi 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Computer science.<br/>Numerical analysis.<br/>Data mining.<br/>Information storage and retrieval.<br/>Artificial intelligence.<br/>Pattern recognition.<br/>Computer Science.<br/>Artificial Intelligence (incl. Robotics).<br/>Pattern Recognition.<br/>Data Mining and Knowledge Discovery.<br/>Information Storage and Retrieval.<br/>Numeric Computing.
<br/><br/><label>LC Class. No.: </label>Q334-342 TJ210.2-211.495 
<br/><br/><label>Dewey Class. No.: </label>006.3