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» Improving the SLA Algorithm Using Association Rules
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87
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HICSS
2000
IEEE
150views Biometrics» more  HICSS 2000»
15 years 4 months ago
An Application of Text Mining: Bibliographic Navigator Powered by Extended Association Rules
In this paper, we discuss the implementation and performance of our developed bibliographic navigator with the text mining. We categorize the different attributes and extend the m...
Minoru Kawahara, Hiroyuki Kawano
93
Voted
ADMA
2007
Springer
159views Data Mining» more  ADMA 2007»
15 years 6 months ago
A Novel Text Classification Approach Based on Enhanced Association Rule
The current research on association rule based text classification neglected several key problems. First, weights of elements in profile vectors may have much impact on generating ...
Jiangtao Qiu, Changjie Tang, Tao Zeng, Shaojie Qia...
CEC
2007
IEEE
15 years 4 months ago
Mining association rules from databases with continuous attributes using genetic network programming
Most association rule mining algorithms make use of discretization algorithms for handling continuous attributes. Discretization is a process of transforming a continuous attribute...
Karla Taboada, Eloy Gonzales, Kaoru Shimada, Shing...
92
Voted
VLDB
2005
ACM
125views Database» more  VLDB 2005»
15 years 5 months ago
Using Association Rules for Fraud Detection in Web Advertising Networks
Discovering associations between elements occurring in a stream is applicable in numerous applications, including predictive caching and fraud detection. These applications requir...
Ahmed Metwally, Divyakant Agrawal, Amr El Abbadi
111
Voted
PAKDD
2004
ACM
119views Data Mining» more  PAKDD 2004»
15 years 5 months ago
Mining Negative Rules Using GRD
GRD is an algorithm for k-most interesting rule discovery. In contrast to association rule discovery, GRD does not require the use of a minimum support constraint. Rather, the user...
Dhananjay R. Thiruvady, Geoffrey I. Webb