Sciweavers

1315 search results - page 44 / 263
» Discovering significant rules
Sort
View
KDD
2005
ACM
163views Data Mining» more  KDD 2005»
15 years 5 months ago
Web mining from competitors' websites
This paper presents a framework for user-oriented text mining. It is then illustrated with an example of discovering knowledge from competitors’ websites. The knowledge to be di...
Xin Chen, Yi-fang Brook Wu
KBS
2002
88views more  KBS 2002»
14 years 11 months ago
Mining the optimal class association rule set
We define an optimal class association rule set to be the minimum rule set with the same predictive power of the complete class association rule set. Using this rule set instead o...
Jiuyong Li, Hong Shen, Rodney W. Topor
KDD
2003
ACM
161views Data Mining» more  KDD 2003»
16 years 7 days ago
Empirical Bayesian data mining for discovering patterns in post-marketing drug safety
Because of practical limits in characterizing the safety profiles of therapeutic products prior to marketing, manufacturers and regulatory agencies perform post-marketing surveill...
David M. Fram, June S. Almenoff, William DuMouchel
WSDM
2009
ACM
115views Data Mining» more  WSDM 2009»
15 years 6 months ago
Discovering and using groups to improve personalized search
Personalized Web search takes advantage of information about an individual to identify the most relevant results for that person. A challenge for personalization lies in collectin...
Jaime Teevan, Meredith Ringel Morris, Steve Bush
KBSE
2005
IEEE
15 years 5 months ago
Optimized run-time race detection and atomicity checking using partial discovered types
Concurrent programs are notorious for containing errors that are difficult to reproduce and diagnose. Two common kinds of concurrency errors are data races and atomicity violation...
Rahul Agarwal, Amit Sasturkar, Liqiang Wang, Scott...