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» Constraint-Based Multidimensional Data Mining
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PVLDB
2010
80views more  PVLDB 2010»
13 years 5 months ago
Using Sentinel Technology in the TARGIT BI Suite
This paper demonstrates so-called sentinels in the TARGIT BI Suite. Sentinels are a novel type of rules that can warn a user if one or more measure changes in a multi-dimensional ...
Morten Middelfart, Torben Bach Pedersen
SDM
2009
SIAM
111views Data Mining» more  SDM 2009»
14 years 4 months ago
A New Constraint for Mining Sets in Sequences.
Discovering interesting patterns in event sequences is a popular task in the field of data mining. Most existing methods try to do this based on some measure of cohesion to deter...
Bart Goethals, Boris Cule, Céline Robardet
DIS
2009
Springer
14 years 2 months ago
Mining Heterogeneous Information Networks by Exploring the Power of Links
Knowledge is power but for interrelated data, knowledge is often hidden in massive links in heterogeneous information networks. We explore the power of links at mining heterogeneou...
Jiawei Han
KDD
2007
ACM
202views Data Mining» more  KDD 2007»
14 years 8 months ago
Support feature machine for classification of abnormal brain activity
In this study, a novel multidimensional time series classification technique, namely support feature machine (SFM), is proposed. SFM is inspired by the optimization model of suppo...
Wanpracha Art Chaovalitwongse, Ya-Ju Fan, Rajesh C...
SDM
2007
SIAM
130views Data Mining» more  SDM 2007»
13 years 9 months ago
Towards Attack-Resilient Geometric Data Perturbation
Data perturbation is a popular technique for privacypreserving data mining. The major challenge of data perturbation is balancing privacy protection and data quality, which are no...
Keke Chen, Gordon Sun, Ling Liu