Advanced Data Mining and Applications [Recurso electrónico] : 8th International Conference, ADMA 2012, Nanjing, China, December 15-18, 2012. Proceedings / edited by Shuigeng Zhou, Songmao Zhang, George Karypis.
Contributor(s): Zhang, Songmao | Karypis, George.Material type: Book; Format: electronic Series: Lecture Notes in Computer Science ; 7713.Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2012ISBN: 9783642355271.Subject(s): Inteligencia artificial | Computer science | Computer software | Database management | Data mining | Information storage and retrieval systems | Artificial intelligence | Computer Science | Artificial Intelligence (incl. Robotics) | Information Systems Applications (incl. Internet) | Information Storage and Retrieval | Database Management | Algorithm Analysis and Problem Complexity | Data Mining and Knowledge DiscoveryAdditional physical formats: Printed edition:: No titleOnline resources: Texto completo
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.
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.
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