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» Identifying and Describing Streets of Interest
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PKDD
1999
Springer
106views Data Mining» more  PKDD 1999»
13 years 11 months ago
Heuristic Measures of Interestingness
When mining a large database, the number of patterns discovered can easily exceed the capabilities of a human user to identify interesting results. To address this problem, variou...
Robert J. Hilderman, Howard J. Hamilton
AVI
2004
13 years 9 months ago
A visual tool for tracing users' behavior in Virtual Environments
Although some guidelines (e.g., based on architectural principles) have been proposed for designing Virtual Environments (VEs), several usability problems can be identified only b...
Luca Chittaro, Lucio Ieronutti
SIGSOFT
2001
ACM
14 years 8 months ago
WREN---an environment for component-based development
Prior research in software environments focused on three important problems-- tool integration, artifact management, and process guidance. The context for that research, and hence...
Chris Lüer, David S. Rosenblum
WWW
2009
ACM
14 years 8 months ago
Learning consensus opinion: mining data from a labeling game
We consider the problem of identifying the consensus ranking for the results of a query, given preferences among those results from a set of individual users. Once consensus ranki...
Paul N. Bennett, David Maxwell Chickering, Anton M...
WWW
2004
ACM
14 years 8 months ago
Sic transit gloria telae: towards an understanding of the web's decay
The rapid growth of the web has been noted and tracked extensively. Recent studies have however documented the dual phenomenon: web pages have small half lives, and thus the web e...
Ziv Bar-Yossef, Andrei Z. Broder, Ravi Kumar, Andr...