Sciweavers

947 search results - page 91 / 190
» Evaluation of Sampling for Data Mining of Association Rules
Sort
View
90
Voted
VLDB
2004
ACM
94views Database» more  VLDB 2004»
15 years 6 months ago
Whither Data Mining?
The last decade has witnessed tremendous advances in data mining. We take a retrospective look at these developments, focusing on association rules discovery, and discuss the chal...
Rakesh Agrawal, Ramakrishnan Srikant
PKDD
2005
Springer
109views Data Mining» more  PKDD 2005»
15 years 6 months ago
An Imbalanced Data Rule Learner
Imbalanced data learning has recently begun to receive much attention from research and industrial communities as traditional machine learners no longer give satisfactory results. ...
Canh Hao Nguyen, Tu Bao Ho
90
Voted
DATAMINE
1998
175views more  DATAMINE 1998»
15 years 11 days ago
A Microeconomic View of Data Mining
We present a rigorous framework, based on optimization, for evaluating data mining operations such as associations and clustering, in terms of their utility in decisionmaking. Thi...
Jon M. Kleinberg, Christos H. Papadimitriou, Prabh...
106
Voted
KDD
2002
ACM
166views Data Mining» more  KDD 2002»
16 years 1 months ago
Frequent term-based text clustering
Text clustering methods can be used to structure large sets of text or hypertext documents. The well-known methods of text clustering, however, do not really address the special p...
Florian Beil, Martin Ester, Xiaowei Xu
87
Voted
KDD
1999
ACM
145views Data Mining» more  KDD 1999»
15 years 5 months ago
Discovery of Fraud Rules for Telecommunications - Challenges and Solutions
Many fraud analysis systemshave at their heart a rule-based enginefor generatingalertsaboutsuspiciousbehaviors.The rules in the systemareusually basedon expert knowledge. Automati...
Saharon Rosset, Uzi Murad, Einat Neumann, Yizhak I...