Advanced Data Mining and Applications: 8th International Conference, ADMA 2012, Nanjing, China, December 15-18, 2012, Proceedings: Lecture Notes in Computer Science, cartea 7713
Editat de Shuigeng Zhou, Songmao Zhang, George Karypisen Limba Engleză Paperback – 16 noi 2012
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Specificații
ISBN-13: 9783642355264
ISBN-10: 3642355269
Pagini: 816
Ilustrații: XVIII, 795 p. 287 illus.
Dimensiuni: 155 x 235 x 43 mm
Greutate: 1.12 kg
Ediția:2012
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seriile Lecture Notes in Computer Science, Lecture Notes in Artificial Intelligence
Locul publicării:Berlin, Heidelberg, Germany
ISBN-10: 3642355269
Pagini: 816
Ilustrații: XVIII, 795 p. 287 illus.
Dimensiuni: 155 x 235 x 43 mm
Greutate: 1.12 kg
Ediția:2012
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seriile Lecture Notes in Computer Science, Lecture Notes in Artificial Intelligence
Locul publicării:Berlin, Heidelberg, Germany
Public țintă
ResearchCuprins
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.
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