Improving document clustering in a learned concept space
✍ Scribed by Jean-François Pessiot; Young-Min Kim; Massih R. Amini; Patrick Gallinari
- Book ID
- 113663937
- Publisher
- Elsevier Science
- Year
- 2010
- Tongue
- English
- Weight
- 375 KB
- Volume
- 46
- Category
- Article
- ISSN
- 0306-4573
No coin nor oath required. For personal study only.
📜 SIMILAR VOLUMES
Development of cluster-based search systems has been ing, information retrieval systems must be prepared to hampered by prohibitive times involved in clustering process large amounts of data. As systems become inunlarge document sets. Once completed, maintaining clusdated with more and more informat
Rapid growth in electronic publishing seems to have provoked a sense of uneasiness among information professionals. This essay describes the challenge of redefining the fundamental concept of "document" that underlies their apprehensions about changes in information generation, control, and access,