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.

By: Zhou, Shuigeng
Contributor(s): Zhang, Songmao | Karypis, George
Material type: TextText; Format: electronic Series: Lecture Notes in Computer Science ; 7713Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2012ISBN: 9783642355271Subject(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
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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. <br>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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