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Emerging Technologies of Text Mining: Techniques and Applications (Premier Reference Source)
 
 
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Emerging Technologies of Text Mining: Techniques and Applications (Premier Reference Source) [Hardcover]

hercules Antonio Do Prado (Author, Editor), Edilson Ferneda (Editor)

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Book Description

1599043734 978-1599043739 October 10, 2007 1
Massive amounts of textual data make up most organizations stored information. Therefore, there is increasingly high demand for a comprehensive resource providing practical hands-on knowledge for real-world applications.

Emerging Technologies of Text Mining: Techniques and Applications provides the most recent technical information related to the computational models of the text mining process, discussing techniques within the realms of classification, association analysis, information extraction, and clustering. Offering an innovative approach to the utilization of textual information mining to maximize competitive advantage, Emerging Technologies of Text Mining: Techniques and Applications will provide libraries with the defining reference on this topic.


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Inside This Book (learn more)
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
rule discovery, competitive intelligence, word sense discrimination, data role, very large corpora, phrase pattern dictionary, action coordination cycle, feature vector conversion, key concept dictionary, patent categorization, start classifier, action coordination model, intelligent learning agent, assisted categorization, online classifier, text mining system, basic attribute value, frequent single words, daily business reports, semisupervised algorithms, ninth code, outlier patients, rule discovery methods, end classifier, average total charges
Key Phrases - Capitalized Phrases (CAPs): (learn more)
International Conference, New York, Machine Learning, Artificial Intelligence, Contextualized Clustering, Deriving Taxonomy, Retrieved March, Ontology of Language, Natural Language Processing, Computational Linguistics, Morgan Kaufmann, Search Based, Validated Model of Hospital Rankings, World Wide Web, Retrieved April, Exploratory Web Search, Web Intelligence, Aaron Copland, Interlegis Web, San Francisco, Structured Text, Hong Kong, Prentice Hall, Annual International, Sentence Level Figure
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