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Machine Learning and Data Mining in Pattern Recognition : 13th International Conference, MLDM 2017, New York, NY, USA, July 15-20, 2017, Proceedings / edited by Petra Perner.
SpringerLink Books Lecture Notes In Computer Science (LNCS) (1997-2024) Available online
View online- Format:
- Book
- Series:
- Computer Science (Springer-11645)
- Lecture notes in computer science. Lecture notes in artificial intelligence ; 10358.
- Lecture Notes in Artificial Intelligence ; 10358
- Language:
- English
- Subjects (All):
- Artificial intelligence.
- Data mining.
- Pattern perception.
- Algorithms.
- Application software.
- Database management.
- Artificial Intelligence.
- Data Mining and Knowledge Discovery.
- Pattern Recognition.
- Algorithm Analysis and Problem Complexity.
- Information Systems Applications (incl. Internet).
- Database Management.
- Local Subjects:
- Artificial Intelligence.
- Data Mining and Knowledge Discovery.
- Pattern Recognition.
- Algorithm Analysis and Problem Complexity.
- Information Systems Applications (incl. Internet).
- Database Management.
- Physical Description:
- 1 online resource (IX, 452 pages) : 129 illustrations.
- Edition:
- First edition 2017.
- Contained In:
- Springer eBooks
- Place of Publication:
- Cham : Springer International Publishing : Imprint: Springer, 2017.
- System Details:
- text file PDF
- Summary:
- 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.
- Contents:
- Classification
- Clustering
- Association rule
- Pattern mining
- Specific data mining methods
- Different multi-media data types
- Image mining
- Text mining
- Video mining
- Web mining. .
- Other Format:
- Printed edition:
- ISBN:
- 978-3-319-62416-7
- 9783319624167
- Access Restriction:
- Restricted for use by site license.
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