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ICDM
2002
IEEE
163views Data Mining» more  ICDM 2002»
15 years 8 months ago
High Performance Data Mining Using the Nearest Neighbor Join
The similarity join has become an important database primitive to support similarity search and data mining. A similarity join combines two sets of complex objects such that the r...
Christian Böhm, Florian Krebs
SDM
2008
SIAM
133views Data Mining» more  SDM 2008»
15 years 4 months ago
A RELIEF Based Feature Extraction Algorithm
RELIEF is considered one of the most successful algorithms for assessing the quality of features due to its simplicity and effectiveness. It has been recently proved that RELIEF i...
Yijun Sun, Dapeng Wu
139
Voted
PODS
2008
ACM
159views Database» more  PODS 2008»
16 years 3 months ago
Approximation algorithms for clustering uncertain data
There is an increasing quantity of data with uncertainty arising from applications such as sensor network measurements, record linkage, and as output of mining algorithms. This un...
Graham Cormode, Andrew McGregor
149
Voted
PAKDD
2004
ACM
94views Data Mining» more  PAKDD 2004»
15 years 8 months ago
Towards Optimizing Conjunctive Inductive Queries
Inductive queries are queries to an inductive database that generate a set of patterns in a data mining context. Inductive querying poses new challenges to database and data mining...
Johannes Fischer, Luc De Raedt
158
Voted
KDD
2006
ACM
149views Data Mining» more  KDD 2006»
16 years 3 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