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Machine Learning and Data Mining in Pattern Recognition : 12th International Conference, MLDM 2016, New York, NY, USA, July 16-21, 2016, Proceedings / edited by Petra Perner.

Publication:
Cham : Springer International Publishing : Imprint: Springer, 2016.
Format/Description:
Book
1 online resource (XIII, 807 pages) : 291 illustrations
Edition:
1st ed. 2016.
Series:
Computer Science (Springer-11645)
Lecture notes in computer science. Lecture notes in artificial intelligence 9729
Lecture Notes in Artificial Intelligence ; 9729
Contained In:
Springer eBooks
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Details

Subjects:
Artificial intelligence.
Data mining.
Pattern perception.
Algorithms.
Application software.
Database management.
Local subjects:
Artificial Intelligence. (search)
Data Mining and Knowledge Discovery. (search)
Pattern Recognition. (search)
Algorithm Analysis and Problem Complexity. (search)
Information Systems Applications (incl. Internet). (search)
Database Management. (search)
System Details:
text file PDF
Summary:
This book constitutes the refereed proceedings of the 12th International Conference on Machine Learning and Data Mining in Pattern Recognition, MLDM 2016, held in New York, NY, USA in July 2016. The 58 regular papers presented in this book were carefully reviewed and selected from 169 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.
Contents:
Classification
Clustering
Association rule
Pattern mining
Image mining.-Text mining
Video mining
Web mining.
Contributor:
Perner, Petra, editor., Editor,
SpringerLink (Online service)
Other format:
Printed edition:
Printed edition:
ISBN:
978-3-319-41920-6
9783319419206
Publisher Number:
10.1007/978-3-319-41920-6 doi
Access Restriction:
Restricted for use by site license.