ABSTRACT
No abstract available.
- 1.Carroll J.M. and Thomas J.C. Fun. SIGCHI Bulletin, January 1988, volume 19, number 3. Google Scholar
Digital Library
- 2.Chen H., Schuffels C., and Orwig R., internet Categorization and Search: A Self-Organizing Approach. Journal of Visual Communications and Image Representation, Vol. 7. No. 1. March. pp.88-102, 1996.Google Scholar
- 3.Cooper J.W. and Byrd R.J. Lexical Navigation: Visually Prompted Query Expansion and Refinement. Proceeding of the 2"d ACM International Conference on Digital Libraries (July I997), 237-246. Google Scholar
Digital Library
- 4.Hearst M. A., Pedersen J. O., Reexamining the Cluster Hypothesis: Scatter / Gather on Retrieval Results, Proc. ACM SIGIR96 Conference. Google Scholar
Digital Library
- 5.Kohonen T. Self-Organizing Maps. Springer-Verlag, Berlin, Heidelberg, 1995. Google Scholar
Digital Library
- 6.Roussinov D. and Chert H. A Scalable Self-organizing Map Algorithm for Textual Classification: A Neural Network Approach to Thesaurus Generation, Communication Cognition and Artificial Intelligence, Spring 1998.Google Scholar
- 7.Salton G. Wong A. Yang C.S. A Vector Space Model for Automatic Indexing, Communications of the ACM, Vol. 18. No. 11, 1975, 613-620. Google Scholar
Digital Library
Index Terms
- Information forage through adaptive visualization
Recommendations
Adaptive visualization of search results: bringing user models to visual analytics
Adaptive visualization is a new approach at the crossroads of user modeling and information visualization. Taking into account information about a user, adaptive visualization attempts to provide user-adapted visual presentation of information. This ...
Hiding Secret Information Using Adaptive Side-Match VQ
The major application of digital data hiding techniques is to deliver confidential data secretly via public but unreliable computer networks. Most of the existing data hiding schemes, however, exploit the raw data of cover images to perform secret ...





Comments