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Advanced Data Mining and Applications : 8th International Conference, ADMA 2012, Nanjing, China, December 15-18, 2012, Proceedings / edited by Shuigeng Zhou, Songmao Zhang, George Karypis.
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 ; 7713.
- Lecture Notes in Artificial Intelligence ; 7713
- Language:
- English
- Subjects (All):
- Artificial intelligence.
- Application software.
- Information storage and retrieval.
- Database management.
- Algorithms.
- Data mining.
- Artificial Intelligence.
- Information Systems Applications (incl. Internet).
- Information Storage and Retrieval.
- Database Management.
- Algorithm Analysis and Problem Complexity.
- Data Mining and Knowledge Discovery.
- Local Subjects:
- Artificial Intelligence.
- Information Systems Applications (incl. Internet).
- Information Storage and Retrieval.
- Database Management.
- Algorithm Analysis and Problem Complexity.
- Data Mining and Knowledge Discovery.
- Physical Description:
- 1 online resource (XVIII, 795 pages) : 287 illustrations.
- Edition:
- First edition 2012.
- Contained In:
- Springer eBooks
- Place of Publication:
- Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2012.
- System Details:
- text file PDF
- Summary:
- This book constitutes the refereed proceedings of the 8th International Conference on Advanced Data Mining and Applications, ADMA 2012, held in Nanjing, China, in December 2012. The 32 regular papers and 32 short papers presented in this volume were carefully reviewed and selected from 168 submissions. They are organized in topical sections named: social media mining; clustering; machine learning: algorithms and applications; classification; prediction, regression and recognition; optimization and approximation; mining time series and streaming data; Web mining and semantic analysis; data mining applications; search and retrieval; information recommendation and hiding; outlier detection; topic modeling; and data cube computing.
- Contents:
- Social Media Mining
- Clustering
- Machine Learning: Algorithms and Applications
- Classification
- Prediction, Regression and Recognition
- Optimization and Approximation
- Mining Time Series and Streaming Data
- Web Mining and Semantic Analysis
- Data Mining Applications
- Search and Retrieval
- Information Recommendation and Hiding
- Outlier Detection
- Topic Modeling
- Data Cube Computing.
- Other Format:
- Printed edition:
- ISBN:
- 978-3-642-35527-1
- 9783642355271
- Access Restriction:
- Restricted for use by site license.
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