Chapter: Events and Trends in Text Streams

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Home > Text Mining - Applications and Theory > Events and Trends in Text Streams

Text Mining - Applications and Theory |

Michael W. Berry

John Wiley & Sons

Events and Trends in Text Streams

Chapter Info

Authors

Dave Engel; Paul Whitney; Nick Cramer

ARI Id

1668254577947_20956857

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Not Available Free

Pages

165-182

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Chapters/Headings	Author(s)	Pages	Info
Front Matter		i-xiv
Automatic Keyword Extraction from Individual Documents	Stuart Rose; Dave Engel; Nick Cramer; Wendy Cowley	1-20
Algebraic Techniques for Multilingual Document Clustering	Brett W. Bader; Peter A. Chew	21-36
Content-Based Spam Email Classification using Machine-Learning Algorithms	Eric P. Jiang	37-56
Utilizing Nonnegative Matrix Factorization for Email Classification Problems	Andreas G. K. Janecek; Wilfried N. Gansterer	57-80
Constrained Clustering with k-means Type Algorithms	Ziqiu Su; Jacob Kogan; Charles Nicholas	81-103
Survey of Text Visualization Techniques	Andrey A. Puretskiy; Gregory L. Shutt; Michael W. Berry	105-127
Adaptive Threshold Setting for Novelty Mining	Wenyin Tang; Flora S. Tsai	129-148
Text Mining and Cybercrime	April Kontostathis; Lynne Edwards; Amanda Leatherman	149-164
Events and Trends in Text Streams	Dave Engel; Paul Whitney; Nick Cramer	165-182
Embedding Semantics in LDA Topic Models	Loulwah Alsumait; Pu Wang; Carlotta Domeniconi; Daniel Barbará	183-204
Index		205-207
Chapters/Headings	Author(s)	Pages	Info

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