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» Approximate data mining in very large relational data
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106
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PAKDD
2009
ACM
72views Data Mining» more  PAKDD 2009»
15 years 10 months ago
A Multi-resolution Approach for Atypical Behaviour Mining
Atypical behaviours are the basis of a valuable knowledge in domains related to security (e.g. fraud detection for credit card [1], cyber security [4] or safety of critical systems...
Alice Marascu, Florent Masseglia
142
Voted
VLDB
2004
ACM
245views Database» more  VLDB 2004»
15 years 9 months ago
VizTree: a Tool for Visually Mining and Monitoring Massive Time Series Databases
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...
KBS
2002
141views more  KBS 2002»
15 years 3 months ago
Using J-pruning to reduce overfitting in classification trees
The automatic induction of classification rules from examples in the form of a decision tree is an important technique used in data mining. One of the problems encountered is the o...
Max Bramer
154
Voted
ICMLA
2010
15 years 1 months ago
Boosting Multi-Task Weak Learners with Applications to Textual and Social Data
Abstract--Learning multiple related tasks from data simultaneously can improve predictive performance relative to learning these tasks independently. In this paper we propose a nov...
Jean Baptiste Faddoul, Boris Chidlovskii, Fabien T...
233
Voted
ICDE
2008
IEEE
155views Database» more  ICDE 2008»
16 years 5 months ago
Lattice Histograms: a Resilient Synopsis Structure
Despite the surge of interest in data reduction techniques over the past years, no method has been proposed to date that can always achieve approximation quality preferable to that...
Panagiotis Karras, Nikos Mamoulis