1 option
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.
- Format:
- Book
- Series:
- Computer Science (SpringerNature-11645)
- Lecture notes in computer science. Lecture notes in artificial intelligence 2945-9141 ; 9729
- Lecture Notes in Artificial Intelligence, 2945-9141 ; 9729
- Language:
- English
- Subjects (All):
- Artificial intelligence.
- Data mining.
- Pattern recognition systems.
- Algorithms.
- Application software.
- Database management.
- Artificial Intelligence.
- Data Mining and Knowledge Discovery.
- Automated Pattern Recognition.
- Computer and Information Systems Applications.
- Database Management.
- Local Subjects:
- Artificial Intelligence.
- Data Mining and Knowledge Discovery.
- Automated Pattern Recognition.
- Algorithms.
- Computer and Information Systems Applications.
- Database Management.
- Physical Description:
- 1 online resource (XIII, 807 pages) : 291 illustrations
- Edition:
- 1st ed. 2016.
- Contained In:
- Springer Nature eBook
- Place of Publication:
- Cham : Springer International Publishing : Imprint: Springer, 2016.
- 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.
- Other Format:
- Printed edition:
- ISBN:
- 978-3-319-41920-6
- 9783319419206
- Access Restriction:
- Restricted for use by site license.
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