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PKDD
1998
Springer
123views Data Mining» more  PKDD 1998»
13 years 12 months ago
Querying Inductive Databases: A Case Study on the MINE RULE Operator
Knowledge discovery in databases (KDD) is a process that can include steps like forming the data set, data transformations, discovery of patterns, searching for exceptions to a pat...
Jean-François Boulicaut, Mika Klemettinen, ...
DMIN
2006
144views Data Mining» more  DMIN 2006»
13 years 9 months ago
Discovering Assignment Rules in Workforce Schedules Using Data Mining
Discovering hidden patterns in large sets of workforce schedules to gain insight into the potential knowledge in workforce schedules are crucial to better understanding the workfor...
Jihong Yan
PKDD
2001
Springer
185views Data Mining» more  PKDD 2001»
14 years 5 days ago
Temporal Rule Discovery for Time-Series Satellite Images and Integration with RDB
Feature extraction and knowledge discovery from a large amount of image data such as remote sensing images have become highly required recent years. In this study, a framework for ...
Rie Honda, Osamu Konishi
KDD
2006
ACM
130views Data Mining» more  KDD 2006»
14 years 8 months ago
Discovering significant rules
In many applications, association rules will only be interesting if they represent non-trivial correlations between all constituent items. Numerous techniques have been developed ...
Geoffrey I. Webb
AI
2003
Springer
14 years 29 days ago
Efficient Mining of Indirect Associations Using HI-Mine
Discovering association rules is one of the important tasks in data mining. While most of the existing algorithms are developed for efficient mining of frequent patterns, it has be...
Qian Wan, Aijun An