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Chen, Hsinchun; Li, Xin; Chau, M.; Ho, Yi-Jen; Tseng, Chunju – IEEE Transactions on Education, 2009
With the advent of the World Wide Web, many business applications that utilize data mining and text mining techniques to extract useful business information on the Web have evolved from Web searching to Web mining. It is important for students to acquire knowledge and hands-on experience in Web mining during their education in information systems…
Descriptors: Class Activities, Information Systems, Internet, Computer Science Education

Chen, Hsinchun; Lally, Ann M.; Zhu, Bin; Chau, Michael – Journal of the American Society for Information Science and Technology, 2003
Discussion of the information needs of medical professionals and researchers focuses on the architecture of a Web portal designed to integrate advanced searching and indexing algorithms, an automatic thesaurus, and self-organizing map technologies to provide searchers with fine-grained results. Reports results of evaluation of spider algorithms…
Descriptors: Algorithms, Evaluation Methods, Indexing, Information Needs
Chau, Michael; Zeng, Daniel; Chen, Hsinchun – 2001
Searching for useful information on the World Wide Web has become increasingly difficult. While Internet search engines have been helping people to search on the Web, low recall rate and outdated indexes have become more and more problematic as the Web grows. In addition, search tools usually present to the user only a list of search results,…
Descriptors: Information Retrieval, Information Systems, Internet, Online Searching

Roussinov, Dmitri G.; Chen, Hsinchun – Information Processing & Management, 2001
Reports an approach to interactive information seeking that is grounded in the idea of summarizing query results through automated document clustering. The authors' prototype acted as an intermediate layer between the user and a commercial Internet search engine. Data was processed from 36 users and it was concluded that the prototype improved…
Descriptors: Automation, Information Seeking, Internet, Online Searching

Chen, Hsinchun; Fan, Haiyan; Chau, Michael; Zeng, Daniel – Journal of the American Society for Information Science and Technology, 2001
Discusses the difficulty of locating relevant information on the Web and studies two approaches to addressing the low precision and poor presentation of search results: meta-search and document categorization. Introduces MetaSpider, a meta-search engine, and presents results of a user evaluation study that compared three search engines.…
Descriptors: Classification, Comparative Analysis, Information Retrieval, Relevance (Information Retrieval)

Chen, Hsinchun; Houston, Andrea L.; Sewell, Robin R.; Schatz, Bruce R. – Journal of the American Society for Information Science, 1998
This study found that a Kohonen self-organizing map (SOM) algorithm for browsing can categorize a large and eclectic Internet-information space into manageable sub-spaces that users can navigate to find relevant home pages. An automatically generated concept-space algorithm for searching was shown to enhance keyword-based Internet searching.…
Descriptors: Algorithms, Concept Mapping, Information Retrieval, Information Seeking

Chen, Hsinchun; Dhar, Vasant – Information Processing and Management, 1991
Two studies of the cognitive processes involved in online document-based information retrieval were conducted. These studies led to the development of five computational models of online document retrieval which were incorporated into the design of an "intelligent" document-based retrieval system. Both the system and the broader implications of…
Descriptors: Artificial Intelligence, Classification, Cognitive Processes, Computer System Design

Chen, Hsinchun; Chung, Yi-Ming; Ramsey, Marshall; Yang, Christopher C. – Journal of the American Society for Information Science, 1998
This study tested two Web personal spiders (i.e., agents that take users' requests and perform real-time customized searches) based on best first-search and genetic-algorithm techniques. Both results were comparable and complementary, although the genetic algorithm obtained higher recall value. The Java-based interface was found to be necessary…
Descriptors: Algorithms, Artificial Intelligence, Computer Interfaces, Computer Software Evaluation