Text mining : applications and theory /
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...
Clasificación: | Libro Electrónico |
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Autor Corporativo: | |
Otros Autores: | , |
Formato: | Electrónico Congresos, conferencias eBook |
Idioma: | Inglés |
Publicado: |
Chichester, U.K. :
Wiley,
©2010.
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Temas: | |
Acceso en línea: | Texto completo |
Tabla de Contenidos:
- 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.