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» Techniques of Cluster Algorithms in Data Mining
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KDD
2006
ACM
149views Data Mining» more  KDD 2006»
16 years 7 months ago
Regularized discriminant analysis for high dimensional, low sample size data
Linear and Quadratic Discriminant Analysis have been used widely in many areas of data mining, machine learning, and bioinformatics. Friedman proposed a compromise between Linear ...
Jieping Ye, Tie Wang
WWW
2001
ACM
16 years 7 months ago
Clustering user queries of a search engine
In order to increase retrieval precision, some new search engines provide manually verified answers to Frequently Asked Queries (FAQs). An underlying task is the identification of...
Ji-Rong Wen, Jian-Yun Nie, HongJiang Zhang
ICDM
2006
IEEE
147views Data Mining» more  ICDM 2006»
16 years 18 days ago
Adaptive Parallel Graph Mining for CMP Architectures
Mining graph data is an increasingly popular challenge, which has practical applications in many areas, including molecular substructure discovery, web link analysis, fraud detect...
Gregory Buehrer, Srinivasan Parthasarathy, Yen-Kua...
ICDM
2009
IEEE
148views Data Mining» more  ICDM 2009»
16 years 1 months ago
Online System Problem Detection by Mining Patterns of Console Logs
Abstract—We describe a novel application of using data mining and statistical learning methods to automatically monitor and detect abnormal execution traces from console logs in ...
Wei Xu, Ling Huang, Armando Fox, David Patterson, ...
KDD
2008
ACM
176views Data Mining» more  KDD 2008»
16 years 7 months ago
Febrl -: an open source data cleaning, deduplication and record linkage system with a graphical user interface
Matching records that refer to the same entity across databases is becoming an increasingly important part of many data mining projects, as often data from multiple sources needs ...
Peter Christen