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DIS
2006
Springer
15 years 10 months ago
Symmetric Item Set Mining Based on Zero-Suppressed BDDs
In this paper, we propose a method for discovering hidden information from large-scale item set data based on the symmetry of items. Symmetry is a fundamental concept in the theory...
Shin-ichi Minato
EDBT
2000
ACM
15 years 10 months ago
Mining Classification Rules from Datasets with Large Number of Many-Valued Attributes
Decision tree induction algorithms scale well to large datasets for their univariate and divide-and-conquer approach. However, they may fail in discovering effective knowledge when...
Giovanni Giuffrida, Wesley W. Chu, Dominique M. Ha...
198
Voted
TCSV
2008
150views more  TCSV 2008»
15 years 6 months ago
Mining Recurring Events Through Forest Growing
Recurring events are short temporal patterns that consist of multiple instances in the target database. Without any a priori knowledge of the recurring events, in terms of their le...
Junsong Yuan, Jingjing Meng, Ying Wu, Jiebo Luo
KDD
2004
ACM
210views Data Mining» more  KDD 2004»
16 years 7 months ago
Visually mining and monitoring massive time series
Moments before the launch of every space vehicle, engineering discipline specialists must make a critical go/no-go decision. The cost of a false positive, allowing a launch in spi...
Jessica Lin, Eamonn J. Keogh, Stefano Lonardi, Jef...
DAWAK
2005
Springer
16 years 6 days ago
Event-Feeded Dimension Solution
Abstract. From the point of view of a data warehouse system its part of collecting and receiving information from other systems is crucial for all subsequent business intelligence ...
Tho Manh Nguyen, Jaromir Nemec, Martin Windisch