Handbook of Research on Text and Web Mining Technologies

Song, Min · Brook Wu, Yi-Fang

2008年9月 · IGI Global

关于此电子书

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.

作者简介

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. [Editor]