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KDD
2004
ACM
151views Data Mining» more  KDD 2004»
14 years 8 months ago
Feature selection in scientific applications
Numerous applications of data mining to scientific data involve the induction of a classification model. In many cases, the collection of data is not performed with this task in m...
Erick Cantú-Paz, Shawn Newsam, Chandrika Ka...
KDD
2012
ACM
178views Data Mining» more  KDD 2012»
11 years 10 months ago
Mining emerging patterns by streaming feature selection
Building an accurate emerging pattern classifier with a highdimensional dataset is a challenging issue. The problem becomes even more difficult if the whole feature space is unava...
Kui Yu, Wei Ding 0003, Dan A. Simovici, Xindong Wu
ICTCS
2005
Springer
14 years 1 months ago
Error Mining for Regular Expression Patterns
In the design of type systems for XML programming languages based on regular expression types and patterns the focus has been over result analysis, with the main aim of statically ...
Giuseppe Castagna, Dario Colazzo, Alain Frisch
MLDM
2009
Springer
14 years 2 months ago
Relational Frequent Patterns Mining for Novelty Detection from Data Streams
We face the problem of novelty detection from stream data, that is, the identification of new or unknown situations in an ordered sequence of objects which arrive on-line, at cons...
Michelangelo Ceci, Annalisa Appice, Corrado Loglis...
IDEAL
2004
Springer
14 years 1 months ago
Mining Large Engineering Data Sets on the Grid Using AURA
AURA (Advanced Uncertain Reasoning Architecture) is a parallel pattern matching technology intended for high-speed approximate search and match operations on large unstructured dat...
Bojian Liang, Jim Austin