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» Discovering and ranking important rules
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ICDE
2010
IEEE
266views Database» more  ICDE 2010»
13 years 10 months ago
Ranking for data repairs
Abstract— Improving data quality is a time-consuming, laborintensive and often domain specific operation. A recent principled approach for repairing dirty database is to use dat...
Mohamed Yakout, Ahmed K. Elmagarmid, Jennifer Nevi...
PAKDD
2010
ACM
169views Data Mining» more  PAKDD 2010»
14 years 2 months ago
oddball: Spotting Anomalies in Weighted Graphs
Given a large, weighted graph, how can we find anomalies? Which rules should be violated, before we label a node as an anomaly? We propose the OddBall algorithm, to find such nod...
Leman Akoglu, Mary McGlohon, Christos Faloutsos
GECCO
2007
Springer
138views Optimization» more  GECCO 2007»
14 years 4 months ago
Bayesian estimation of rule accuracy in UCS
Learning Classifier Systems differ from many other classification techniques, in that new rules are constantly discovered and evaluated. This feature of LCS gives rise to an im...
James A. R. Marshall, Gavin Brown, Tim Kovacs
NICSO
2010
Springer
13 years 8 months ago
Partial Imitation Rule in Iterated Prisoner Dilemma Game on a Square Lattice
t] A realistic replacement of the general imitation rule in the Iterated Prisoner Dilemma (IPD) is investigated with simulation on square lattice, whereby the player, with finite m...
Degang Wu, Mathis Antony, Kwok Yip Szeto
ICDM
2006
IEEE
130views Data Mining» more  ICDM 2006»
14 years 3 months ago
A Framework for Regional Association Rule Mining in Spatial Datasets
The immense explosion of geographically referenced data calls for efficient discovery of spatial knowledge. One critical requirement for spatial data mining is the capability to ...
Wei Ding 0003, Christoph F. Eick, Jing Wang 0007, ...