Survey of Text Mining II: Clustering, Classification, and Retrieval
Sold by Lucky's Textbooks, Dallas, TX, U.S.A.
AbeBooks Seller since July 22, 2022
New - Hardcover
Condition: New
Quantity: Over 20 available
Add to basketSold by Lucky's Textbooks, Dallas, TX, U.S.A.
AbeBooks Seller since July 22, 2022
Condition: New
Quantity: Over 20 available
Add to basketThe 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 detection
Survey 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 datamining.
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.
"About this title" may belong to another edition of this title.
We guarantee the condition of every book as it's described on the AbeBooks web
sites. Please note that used items may not include access codes or cards, CD's
or other accessories, regardless of what is stated in item title. If you need to
guarantee that these items are included, please purchase a brand new copy.
All requests for refunds and/or returns will be processed in accordance with
AbeBooks policies. If you're dissatisfied with your purchase (Incorrect Book/Not
as Described/Damaged) or if ...
Books ordered via expedited shipping should arrive between 2 and 7 business days after shipment confirmation. Books ordered via standard shipping should arrive between 4 and 14 business days after shipment confirmation.