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SBBD
2004
166views Database» more  SBBD 2004»
15 years 8 months ago
An Apriori-based Approach for First-Order Temporal Pattern Mining
Previous studies on mining sequential patterns have focused on temporal patterns specified by some form of propositional temporal logic. However, there are some interesting sequen...
Sandra de Amo, Daniel A. Furtado, Arnaud Giacomett...
SDM
2012
SIAM
261views Data Mining» more  SDM 2012»
13 years 9 months ago
Combining Active Learning and Dynamic Dimensionality Reduction
To date, many active learning techniques have been developed for acquiring labels when training data is limited. However, an important aspect of the problem has often been neglect...
Mustafa Bilgic
SDM
2012
SIAM
237views Data Mining» more  SDM 2012»
13 years 9 months ago
A Distributed Kernel Summation Framework for General-Dimension Machine Learning
Kernel summations are a ubiquitous key computational bottleneck in many data analysis methods. In this paper, we attempt to marry, for the first time, the best relevant technique...
Dongryeol Lee, Richard W. Vuduc, Alexander G. Gray
DAWAK
2005
Springer
16 years 12 days ago
A Decremental Algorithm for Maintaining Frequent Itemsets in Dynamic Databases
Data mining and machine learning must confront the problem of pattern maintenance because data updating is a fundamental operation in data management. Most existing data-mining alg...
Shichao Zhang, Xindong Wu, Jilian Zhang, Chengqi Z...
ADMA
2005
Springer
124views Data Mining» more  ADMA 2005»
15 years 8 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