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DKE
2008
87views more  DKE 2008»
13 years 4 months ago
Region clustering based evaluation of multiple top-N selection queries
In many database applications, there are opportunities for multiple top-N queries to be evaluated at the same time. Often it is more cost effective to evaluate multiple such queri...
Liang Zhu, Weiyi Meng, Wenzhu Yang, Chunnian Liu
KDD
2004
ACM
624views Data Mining» more  KDD 2004»
13 years 9 months ago
Programming the K-means clustering algorithm in SQL
Using SQL has not been considered an efficient and feasible way to implement data mining algorithms. Although this is true for many data mining, machine learning and statistical a...
Carlos Ordonez
DEXA
2003
Springer
193views Database» more  DEXA 2003»
13 years 9 months ago
Supporting KDD Applications by the k-Nearest Neighbor Join
Abstract. 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 t...
Christian Böhm, Florian Krebs
ICDM
2002
IEEE
163views Data Mining» more  ICDM 2002»
13 years 9 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