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» Phenomenal Data Mining: From Data to Phenomena
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CRIWG
2004
15 years 3 months ago
SaGISC: A Geo-Collaborative System
The production of geological mapping by conventional processes is a complex work of data gathering and integration, along with expert and team analysis. This process is very time c...
Paula André, Pedro Antunes
JMLR
2010
125views more  JMLR 2010»
14 years 8 months ago
On utility of gene set signatures in gene expression-based cancer class prediction
Machine learning methods that can use additional knowledge in their inference process are central to the development of integrative bioinformatics. Inclusion of background knowled...
Minca Mramor, Marko Toplak, Gregor Leban, Tomaz Cu...
101
Voted
SDM
2009
SIAM
175views Data Mining» more  SDM 2009»
15 years 11 months ago
Low-Entropy Set Selection.
Most pattern discovery algorithms easily generate very large numbers of patterns, making the results impossible to understand and hard to use. Recently, the problem of instead sel...
Hannes Heikinheimo, Jilles Vreeken, Arno Siebes, H...
ISSTA
2009
ACM
15 years 8 months ago
Identifying bug signatures using discriminative graph mining
Bug localization has attracted a lot of attention recently. Most existing methods focus on pinpointing a single statement or function call which is very likely to contain bugs. Al...
Hong Cheng, David Lo, Yang Zhou, Xiaoyin Wang, Xif...
132
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ENGL
2007
101views more  ENGL 2007»
15 years 1 months ago
Multiresolution Knowledge Mining using Wavelet Transform
— Most research in Knowledge Mining deal with the basic models like clustering, classification, regression, association rule mining and so on. In the process of quest for knowled...
R. Pradeep Kumar, P. Nagabhushan