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SIGKDD
2008
159views more  SIGKDD 2008»
13 years 8 months ago
Data mining with cellular automata
A cellular automaton is a discrete, dynamical system composed of very simple, uniformly interconnected cells. Cellular automata may be seen as an extreme form of simple, localized...
Tom Fawcett
ICDM
2003
IEEE
220views Data Mining» more  ICDM 2003»
14 years 1 months ago
Exploiting Unlabeled Data for Improving Accuracy of Predictive Data Mining
Predictive data mining typically relies on labeled data without exploiting a much larger amount of available unlabeled data. The goal of this paper is to show that using unlabeled...
Kang Peng, Slobodan Vucetic, Bo Han, Hongbo Xie, Z...
FGCS
2010
186views more  FGCS 2010»
13 years 7 months ago
A grid portal for solving geoscience problems using distributed knowledge discovery services
This paper describes our research effort to employ Grid technologies to enable the development of geoscience applications by integrating workflow technologies with data mining r...
Gianluigi Folino, Agostino Forestiero, Giuseppe Pa...
KDD
2009
ACM
204views Data Mining» more  KDD 2009»
14 years 9 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...
KDD
2009
ACM
232views Data Mining» more  KDD 2009»
14 years 9 months ago
Classification of software behaviors for failure detection: a discriminative pattern mining approach
Software is a ubiquitous component of our daily life. We often depend on the correct working of software systems. Due to the difficulty and complexity of software systems, bugs an...
David Lo, Hong Cheng, Jiawei Han, Siau-Cheng Khoo,...