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Text mining : applications and theory / [editors] Michael W. Berry, Jacob Kogan.

Contributor(s): Berry, Michael W | Kogan, Jacob, 1954- | SIAM International Conference on Data MiningMaterial type: Text

TextPublisher: Chichester, U.K. : Wiley, [2010]Copyright date: ©2010Description: 1 online resource (xiv, 207 pages) : illustrationsContent type: text Media type: computer Carrier type: online resourceISBN: 9780470689653; 047068965X; 9780470689646; 0470689641Subject(s): Data mining -- Congresses | Natural language processing (Computer science) -- Congresses | Data mining -- Congresses | Data mining | Natural language processing (Computer science) -- Congresses | COMPUTERS -- Database Management -- Data Mining | Data mining | Natural language processing (Computer science)Genre/Form: Electronic books. | Conference papers and proceedings.Additional physical formats: Print version:: Text mining.DDC classification: 006.3/12 LOC classification: QA76.9.D343 | B467 2010ebOnline resources: Wiley Online Library

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.

Summary: 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 use of techniques from machine learning, knowledge discovery, natural language processing and information retrieval to design computational models for automated text analysis and mining. This volume demonstrates how advancements in the fields of applied mathematics, computer science, machine learning.

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Holdings
Item type	Current library	Call number	Status	Date due	Barcode
Ebooks	Mysore University Main Library		Not for loan		EBJW1706

Includes bibliographical references and index.

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 use of techniques from machine learning, knowledge discovery, natural language processing and information retrieval to design computational models for automated text analysis and mining. This volume demonstrates how advancements in the fields of applied mathematics, computer science, machine learning.

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