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134
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KDD
2000
ACM
142views Data Mining» more  KDD 2000»
15 years 8 months ago
Automating exploratory data analysis for efficient data mining
Having access to large data sets for the purpose of predictive data mining does not guarantee good models, even when the size of the training data is virtually unlimited. Instead,...
Jonathan D. Becher, Pavel Berkhin, Edmund Freeman
139
Voted
CIVR
2008
Springer
114views Image Analysis» more  CIVR 2008»
15 years 6 months ago
World-scale mining of objects and events from community photo collections
In this paper, we describe an approach for mining images of objects (such as touristic sights) from community photo collections in an unsupervised fashion. Our approach relies on ...
Till Quack, Bastian Leibe, Luc J. Van Gool
ECEASST
2006
305views more  ECEASST 2006»
15 years 5 months ago
The ParMol Package for Frequent Subgraph Mining
Mining for frequent subgraphs in a graph database has become a popular topic in the last years. Algorithms to solve this problem are used in chemoinformatics to find common molecul...
Thorsten Meinl, Marc Wörlein, Olga Urzova, In...
DKE
2007
129views more  DKE 2007»
15 years 5 months ago
First-order temporal pattern mining with regular expression constraints
Previous studies on mining sequential patterns have focused on temporal patterns specified by some form of propositional temporal logic. However, there are some interesting seque...
Sandra de Amo, Daniel A. Furtado
FGCS
2007
78views more  FGCS 2007»
15 years 4 months ago
Promoting performance and separation of concerns for data mining applications on the grid
Grid Computing brought the promise of making high-performance computing cheaper and more easily available than traditional supercomputing platforms. Such a promise was very well r...
Vasco Furtado, Francisco Flávio de Souza, W...