1 option
Machine Learning and Data Mining in Pattern Recognition : 9th International Conference, MLDM 2013, New York, NY, USA, July 19-25, 2013, Proceedings / edited by Petra Perner.
- Format:
- Book
- Series:
- Computer Science (SpringerNature-11645)
- Lecture notes in computer science. Lecture notes in artificial intelligence 2945-9141 ; 7988
- Lecture Notes in Artificial Intelligence, 2945-9141 ; 7988
- Language:
- English
- Subjects (All):
- Artificial intelligence.
- Data mining.
- Pattern recognition systems.
- Algorithms.
- Artificial Intelligence.
- Data Mining and Knowledge Discovery.
- Automated Pattern Recognition.
- Local Subjects:
- Artificial Intelligence.
- Data Mining and Knowledge Discovery.
- Automated Pattern Recognition.
- Algorithms.
- Physical Description:
- 1 online resource (XII, 660 pages) : 199 illustrations
- Edition:
- 1st ed. 2013.
- Contained In:
- Springer Nature eBook
- Place of Publication:
- Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013.
- System Details:
- text file PDF
- Summary:
- This book constitutes the refereed proceedings of the 9th International Conference on Machine Learning and Data Mining in Pattern Recognition, MLDM 2013, held in New York, USA in July 2013. The 51 revised full papers presented were carefully reviewed and selected from 212 submissions. The papers cover the topics ranging 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:
- Theoretical topics for classification
- Clustering
- Association rule and pattern mining.- Specific data mining methods for the different multimedia data types.- Image mining
- Text mining
- Video mining.-Web mining.
- Other Format:
- Printed edition:
- ISBN:
- 978-3-642-39712-7
- 9783642397127
- Access Restriction:
- Restricted for use by site license.
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