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» Benchmarking Data Mining Algorithms
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148
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ICDM
2006
IEEE
176views Data Mining» more  ICDM 2006»
15 years 9 months ago
Razor: mining distance-constrained embedded subtrees
Due to their capability for expressing semantics and relationships among data objects, semi-structured documents have become a common way of representing domain knowledge. Compari...
Henry Tan, Tharam S. Dillon, Fedja Hadzic, Elizabe...
254
Voted
ICDE
2009
IEEE
157views Database» more  ICDE 2009»
16 years 5 months ago
A Rule-Based Classification Algorithm for Uncertain Data
Abstract-- Data uncertainty is common in real-world applications due to various causes, including imprecise measurement, network latency, outdated sources and sampling errors. Thes...
Biao Qin, Yuni Xia, Sunil Prabhakar, Yi-Cheng Tu
ISPASS
2009
IEEE
15 years 10 months ago
Lonestar: A suite of parallel irregular programs
Until recently, parallel programming has largely focused on the exploitation of data-parallelism in dense matrix programs. However, many important application domains, including m...
Milind Kulkarni, Martin Burtscher, Calin Cascaval,...
112
Voted
GECCO
2005
Springer
15 years 9 months ago
Predicting healthcare costs using GAs
Predicting prospective healthcare costs is of increasing importance. Genetic search is used to discover attribute sets and associated posterior probability classifiers that predi...
Christopher R. Stephens, Henri Waelbroeck, S. Tall...
126
Voted
PAKDD
2009
ACM
225views Data Mining» more  PAKDD 2009»
16 years 22 days ago
Change Analysis in Spatial Data by Combining Contouring Algorithms with Supervised Density Functions.
Detecting changes in spatial datasets is important for many fields. In this paper, we introduce a methodology for change analysis in spatial datasets that combines contouring algor...
Christoph F. Eick, Chun-Sheng Chen, Michael D. Twa...