
Advanced Data Mining and Applications
8th International Conference, ADMA 2012, Nanjing, China, December 15-18, 2012, Proceedings
Springer (Publisher)
Published on 16. November 2012
Book
Paperback/Softback
XVIII, 795 pages
978-3-642-35526-4 (ISBN)
Description
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.
More details
Series
Edition
2012 ed.
Language
English
Place of publication
Berlin
Germany
Publishing group
Springer Berlin
Target group
Professional and scholarly
Research
Illustrations
287 s/w Abbildungen
XVIII, 795 p. 287 illus.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 44 mm
Weight
1212 gr
ISBN-13
978-3-642-35526-4 (9783642355264)
DOI
10.1007/978-3-642-35527-1
Schweitzer Classification
Other editions
Additional editions

Shuigeng Zhou | Songmao Zhang | George Karypis
Advanced Data Mining and Applications
8th International Conference, ADMA 2012, Nanjing, China, December 15-18, 2012, Proceedings
E-Book
12/2012
Springer
€53.49
Available for download
Content
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.