Survey of Text Mining II: Clustering, Classification, and Retrieval by Michael W. BerrySurvey of Text Mining II: Clustering, Classification, and Retrieval by Michael W. Berry

Survey of Text Mining II: Clustering, Classification, and Retrieval

EditorMichael W. Berry, Malu Castellanos

Paperback | October 13, 2010

Pricing and Purchase Info


Earn 710 plum® points

Prices and offers may vary in store


In stock online

Ships free on orders over $25

Not available in stores


The proliferation of digital computing devices and their use in communication has resulted in an increased demand for systems and algorithms capable of mining textual data. Thus, the development of techniques for mining unstructured, semi-structured, and fully-structured textual data has become increasingly important in both academia and industry.This second volume continues to survey the evolving field of text mining - the application of techniques of machine learning, in conjunction with natural language processing, information extraction and algebraic/mathematical approaches, to computational information retrieval. Numerous diverse issues are addressed, ranging from the development of new learning approaches to novel document clustering algorithms, collectively spanning several major topic areas in text mining.Features:. Acts as an important benchmark in the development of current and future approaches to mining textual information. Serves as an excellent companion text for courses in text and data mining, information retrieval and computational statistics. Experts from academia and industry share their experiences in solving large-scale retrieval and classification problems. Presents an overview of current methods and software for text mining. Highlights open research questions in document categorization and clustering, and trend detection. Describes new application problems in areas such as email surveillance and anomaly detectionSurvey of Text Mining II offers a broad selection in state-of-the art algorithms and software for text mining from both academic and industrial perspectives, to generate interest and insight into the state of the field. This book will be an indispensable resource for researchers, practitioners, and professionals involved in information retrieval, computational statistics, and data mining.Michael W. Berry is a professor in the Department of Electrical Engineering and Computer Science at the University of Tennessee, Knoxville.Malu Castellanos is a senior researcher at Hewlett-Packard Laboratories in Palo Alto, California.
Title:Survey of Text Mining II: Clustering, Classification, and RetrievalFormat:PaperbackDimensions:256 pages, 9.25 × 6.1 × 0 inPublished:October 13, 2010Publisher:Springer LondonLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:184996713X

ISBN - 13:9781849967136

Look for similar items by category: