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Advanced Data Mining and Applications

Editat de Shuigeng Zhou, Songmao Zhang, George Karypis
en Limba Engleză Paperback – 16 noi 2012
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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Specificații

ISBN-13: 9783642355264
ISBN-10: 3642355269
Pagini: 816
Ilustrații: XVIII, 795 p. 287 illus.
Dimensiuni: 155 x 235 x 44 mm
Greutate: 1.21 kg
Ediția:2012
Editura: Springer
Locul publicării:Berlin, Heidelberg, Germany

Public țintă

Research

Cuprins

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.

Textul de pe ultima copertă

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.

Caracteristici

Up-to-date results Fast-track conference proceedings State-of-the-art research