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Text mining : applications and theory /

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Text Mining: Applications and Theory presents the state-of-the-art algorithms for text mining from both the academic and industrial perspectives. The contributors span several countries and scientific domains: universities, industrial corporations, and government laboratories, and demonstrate the us...

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Bibliographic Details
Corporate Author: SIAM International Conference on Data Mining
Other Authors: Berry, Michael W., Kogan, Jacob, 1954-
Format: Conference Proceeding eBook
Language:English
Published: Chichester, U.K. : Wiley, ©2010.
Subjects:
Data mining > Congresses.
Natural language processing (Computer science) > Congresses.
Electronic books.
Online Access:Connect to the full text of this electronic book
Table of Contents:
  • Front Matter
  • Text Extraction, Classification, and Clustering. Automatic Keyword Extraction from Individual Documents / Stuart Rose, Dave Engel, Nick Cramer, Wendy Cowley
  • Algebraic Techniques for Multilingual Document Clustering / Brett W Bader, Peter A Chew
  • Content-Based Spam Email Classification using Machine-Learning Algorithms / Eric P Jiang
  • Utilizing Nonnegative Matrix Factorization for Email Classification Problems / Andreas G K Janecek, Wilfried N Gansterer
  • Constrained Clustering with -means Type Algorithms / Ziqiu Su, Jacob Kogan, Charles Nicholas
  • Anomaly and Trend Detection. Survey of Text Visualization Techniques / Andrey A Puretskiy, Gregory L Shutt, Michael W Berry
  • Adaptive Threshold Setting for Novelty Mining / Wenyin Tang, Flora S Tsai
  • Text Mining and Cybercrime / April Kontostathis, Lynne Edwards, Amanda Leatherman
  • Text Streams. Events and Trends in Text Streams / Dave Engel, Paul Whitney, Nick Cramer
  • Embedding Semantics in LDA Topic Models / Loulwah Alsumait, Pu Wang, Carlotta Domeniconi, Daniel Barbar̀
  • Index.