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» On Objective Measures of Rule Surprisingness
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SDM
2012
SIAM
305views Data Mining» more  SDM 2012»
12 years 5 days ago
Learning Hierarchical Relationships among Partially Ordered Objects with Heterogeneous Attributes and Links
Objects linking with many other objects in an information network may imply various semantic relationships. Uncovering such knowledge is essential for role discovery, data cleanin...
Chi Wang, Jiawei Han, Qi Li, Xiang Li, Wen-Pin Lin...
DMIN
2006
132views Data Mining» more  DMIN 2006»
13 years 11 months ago
Discovering Accurate and Interesting Classification Rules Using Genetic Algorithm
Discovering accurate and interesting classification rules is a significant task in the post-processing stage of a data mining (DM) process. Therefore, an optimization problem exis...
Janaki Gopalan, Reda Alhajj, Ken Barker
DOLAP
2006
ACM
14 years 3 months ago
Enhanced mining of association rules from data cubes
On-line analytical processing (OLAP) provides tools to explore and navigate into data cubes in order to extract interesting information. Nevertheless, OLAP is not capable of expla...
Riadh Ben Messaoud, Sabine Loudcher Rabaséd...
FQAS
2006
Springer
101views Database» more  FQAS 2006»
14 years 1 months ago
Cooperative Discovery of Interesting Action Rules
Action rules introduced in [12] and extended further to e-action rules [21] have been investigated in [22], [13], [20]. They assume that attributes in a database are divided into t...
Agnieszka Dardzinska, Zbigniew W. Ras
ICDM
2006
IEEE
153views Data Mining» more  ICDM 2006»
14 years 3 months ago
k-STARs: Sequences of Spatio-Temporal Association Rules
A Spatio-Temporal Association Rule (STAR) describes how objects move between regions over time. Since they describe only a single movement between two regions, it is very difficu...
Florian Verhein