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145
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KDD
2009
ACM
204views Data Mining» more  KDD 2009»
16 years 4 months ago
Improving classification accuracy using automatically extracted training data
Classification is a core task in knowledge discovery and data mining, and there has been substantial research effort in developing sophisticated classification models. In a parall...
Ariel Fuxman, Anitha Kannan, Andrew B. Goldberg, R...
144
Voted
DAWAK
2005
Springer
15 years 9 months ago
Graph-Based Modeling of ETL Activities with Multi-level Transformations and Updates
Extract-Transform-Load (ETL) workflows are data centric workflows responsible for transferring, cleaning, and loading data from their respective sources to the warehouse. Previous ...
Alkis Simitsis, Panos Vassiliadis, Manolis Terrovi...
150
Voted
WCE
2007
15 years 4 months ago
Scenario Generation Employing Copulas
—Multistage stochastic programs are effective for solving long-term planning problems under uncertainty. Such programs are usually based on scenario generation model about future...
Kristina Sutiene, Henrikas Pranevicius
133
Voted
ICDM
2002
IEEE
156views Data Mining» more  ICDM 2002»
15 years 8 months ago
Predicting Rare Events In Temporal Domains
Temporal data mining aims at finding patterns in historical data. Our work proposes an approach to extract temporal patterns from data to predict the occurrence of target events,...
Ricardo Vilalta, Sheng Ma
114
Voted
SDM
2004
SIAM
162views Data Mining» more  SDM 2004»
15 years 5 months ago
Subspace Clustering of High Dimensional Data
Clustering suffers from the curse of dimensionality, and similarity functions that use all input features with equal relevance may not be effective. We introduce an algorithm that...
Carlotta Domeniconi, Dimitris Papadopoulos, Dimitr...