Handbook of Research on Text and Web Mining Technologies (2 Volumes)

Handbook of Research on Text and Web Mining Technologies (2 Volumes)

Release Date: September, 2008|Copyright: © 2009 |Pages: 901
DOI: 10.4018/978-1-59904-990-8
ISBN13: 9781599049908|ISBN10: 1599049902|EISBN13: 9781599049915
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Description & Coverage
Description:

The massive daily overflow of electronic data to information seekers creates the need for better ways to digest and organize this information to make it understandable and useful. Text mining, a variation of data mining, extracts desired information from large, unstructured text collections stored in electronic forms.

The Handbook of Research on Text and Web Mining Technologies is the first comprehensive reference to the state of research in the field of text mining, serving a pivotal role in educating practitioners in the field. This compendium of pioneering studies from leading experts is essential to academic reference collections and introduces researchers and students to cutting-edge techniques for gaining knowledge discovery from unstructured text.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

  • Core text mining operations
  • Data mining techniques in text mining
  • Data preprocessing techniques
  • Emerging directions of text mining
  • Evaluation techniques of text mining
  • Information Extraction
  • Information Retrieval
  • Link analysis
  • Natural Language Processing (NLP)
  • Taxonomy of text mining
  • Text Categorization
  • Text clustering
  • Text mining applications
  • Text mining case studies
  • Visualization approaches
Reviews & Statements

This handbook presents most recent advances and survey of applications in text and web mining which should be of interests to researchers and end-users alike.

– Min Song, Old Dominion University, USA

In addition to providing an in-depth examination of core text and Web mining algorithms and operations, this book examines advanced pre-processing techniques, knowledge representation considerations, and visual approaches.

– Book News Inc. (March 2009)
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Editor/Author Biographies
Min Song is an assistant professor of Department of Information Systems at NJIT. He received his M.S. in School of Information Science from Indiana University in 1996 and received Ph.D. degree in Information Systems from Drexel University in 2005. Min has a background in Text Mining, Bioinfomatics, Information Retrieval and Information Visualization.

Min received the Drexel Dissertation Award in 2005. In 2006, Min’s work received an honorable mention award in the 2006 Greater Philadelphia Bioinformatics Symposium. In addition, The paper entitled “Extracting and Mining Protein-protein interaction Network from Biomedical Literature” has received the best paper award from 2004 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, which was held in San Diego, USA, Oct. 7-8, 2004. In addition, another paper entitled “Ontology-based Scalable and Portable Information Extraction System to Extract Biological Knowledge from Huge Collection of Biomedical Web Documents” was nominated as the best paper at 2004 IEEE/ACM Web Intelligence Conference, which was held in Beijing, China, Sept, 20-24, 2004.

Dr. Brook Wu is an Associate Professor in the Information Systems Department at New Jersey Institute of Technology. Her current research interests include: text mining, information extraction, knowledge organization, information retrieval, and natural language processing. Her projects have been supported by National Science Foundation and Institute of Museum of Library Services. Her research has appeared in journals such as Journal of the American Society for Information Science and Technology, Journal of Biomedical Informatics and Information Retrieval.
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Editorial Advisory Board
  • Zoran Obradovic, Temple University, USA
  • Alexander Yates, Temple University, USA
  • Il-Yeol Song, Drexel University, USA
  • Xiaohua Tony Hu , Drexel University, USA
  • Hongfang Liu, Georgetown University Medical Center, USA
  • Illhoi Yoo, University of Missouri-Columbia School of Medicine, USA
  • Jason T.L. Wang, New Jersey Institute of Technology, USA