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Machine Learning and Data Mining in Pattern Recognition : 11th International Conference, MLDM 2015, Hamburg, Germany, July 20-21, 2015, Proceedings / edited by Petra Perner.
- Format:
- Book
- Series:
- Computer Science (SpringerNature-11645)
- Lecture notes in computer science. Lecture notes in artificial intelligence 2945-9141 ; 9166
- Lecture Notes in Artificial Intelligence, 2945-9141 ; 9166
- Language:
- English
- Subjects (All):
- 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.
- Artificial Intelligence.
- Local Subjects:
- Data Mining and Knowledge Discovery.
- Automated Pattern Recognition.
- Algorithms.
- Computer and Information Systems Applications.
- Database Management.
- Artificial Intelligence.
- Physical Description:
- 1 online resource (IX, 454 pages) : 132 illustrations
- Edition:
- 1st ed. 2015.
- Contained In:
- Springer Nature eBook
- Place of Publication:
- Cham : Springer International Publishing : Imprint: Springer, 2015.
- System Details:
- text file PDF
- Summary:
- This book constitutes the refereed proceedings of the 11th International Conference on Machine Learning and Data Mining in Pattern Recognition, MLDM 2015, held in Hamburg, Germany, in July 2015. The 41 full papers presented were carefully reviewed and selected from 123 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:
- Graph Mining
- Classification and regression
- Sentiment analysis
- Data preparation and missing values
- Association and sequential rule mining
- Support vector machines
- Frequent item set mining and time series analysis
- Clustering
- Text mining
- Applications data mining.
- Other Format:
- Printed edition:
- ISBN:
- 978-3-319-21024-7
- 9783319210247
- Access Restriction:
- Restricted for use by site license.
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