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» A Partial-Repeatability Approach to Data Mining
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ADMA
2005
Springer
124views Data Mining» more  ADMA 2005»
15 years 6 months ago
Finding All Frequent Patterns Starting from the Closure
Efficient discovery of frequent patterns from large databases is an active research area in data mining with broad applications in industry and deep implications in many areas of d...
Mohammad El-Hajj, Osmar R. Zaïane
DMIN
2006
107views Data Mining» more  DMIN 2006»
15 years 6 months ago
Enhancing Data Preparation Processes Using Triggers For Active Datawarehousing
Abstract: Data preparation is a significant preprocessing task to prepare data for mining. The data mining process cannot succeed without a serious effort to prepare data. Very oft...
Kanana Ezekiel, Farhi Marir
CIKM
2010
Springer
15 years 3 months ago
Partial drift detection using a rule induction framework
The major challenge in mining data streams is the issue of concept drift, the tendency of the underlying data generation process to change over time. In this paper, we propose a g...
Damon Sotoudeh, Aijun An
WSDM
2012
ACM
245views Data Mining» more  WSDM 2012»
14 years 6 days ago
The early bird gets the buzz: detecting anomalies and emerging trends in information networks
In this work we propose a novel approach to anomaly detection in streaming communication data. We first build a stochastic model for the system based on temporal communication pa...
Brian Thompson
KDD
2003
ACM
109views Data Mining» more  KDD 2003»
16 years 5 months ago
Experimental design for solicitation campaigns
Data mining techniques are routinely used by fundraisers to select those prospects from a large pool of candidates who are most likely to make a financial contribution. These tech...
Uwe F. Mayer, Armand Sarkissian