Discovering structure from document databases

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 1574, Issue , 1999, Pages 169-173

  Jiang, Mon Fong ^a   Tseng, Shian Shyong ^a   Tsai, Chang Jiun ^a  

^a NATIONAL CHIAO TUNG UNIVERSITY   (Taiwan)

Author keywords

[No Author keywords available]

Indexed keywords

DATA MINING; EXPERT SYSTEMS; INTELLIGENT DATABASES; KNOWLEDGE REPRESENTATION; QUERY PROCESSING; SEARCH ENGINES;

DOCUMENT DATABASE; DOCUMENT RETRIEVAL; DOCUMENT STRUCTURE; INTELLIGENT INFORMATION RETRIEVAL SYSTEMS; KNOWLEDGE DISCOVERY TECHNIQUES; TRADITIONAL APPROACHES; TRANSFORMATION PROCESS;

INFORMATION RETRIEVAL;

EID: 84947774579     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-48912-6_23     Document Type: Conference Paper

References (4)

1. A. K. Jain, and R. C. Dubes, Algorithms for Clustering Data, Prentice Hall Inc., pp. 58-86, 1988.
2. M. F. Jiang, S. S. Tseng, C. J. Tsai, and J. F. Liu, ‘Building a Chinese Personnel Regulations Consultation System on WWW,' 1996 Taiwan Area Internet Conference, TANET’96, Hsinchu, Taiwan, October 1996.
3. G. Navarro and R. Baeza-Yates, ‘Proximal nodes: a model to query document database by content and structure,' ACM Transactions on Information Systems, Vol. 15, № 4, pp. 400-435, October 1997.
4. R. Sproat and C. Shih, ‘A Statistical Method for Finding Word Boundaries in Chinese Text,' Computer Proceedings of Chinese and Oriental Languages, Vol. 4, № 4, pp. 336-351, 1990.