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» Approximate data mining in very large relational data
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KDD
2003
ACM
180views Data Mining» more  KDD 2003»
14 years 7 months ago
Classifying large data sets using SVMs with hierarchical clusters
Support vector machines (SVMs) have been promising methods for classification and regression analysis because of their solid mathematical foundations which convey several salient ...
Hwanjo Yu, Jiong Yang, Jiawei Han
KDD
1997
ACM
111views Data Mining» more  KDD 1997»
13 years 11 months ago
SIPping from the Data Firehose
When mining large databases, the data extraction problem and the interface between the database and data mining algorithm become important issues. Rather than giving a mining algo...
George H. John, Brian Lent
SDM
2007
SIAM
96views Data Mining» more  SDM 2007»
13 years 8 months ago
Higher Order Orthogonal Iteration of Tensors (HOOI) and its Relation to PCA and GLRAM
This paper presents a unified view of a number of dimension reduction techniques under the common framework of tensors. Specifically, it is established that PCA, and the recentl...
Bernard N. Sheehan, Yousef Saad
SIGMOD
2005
ACM
162views Database» more  SIGMOD 2005»
14 years 7 months ago
Fast and Approximate Stream Mining of Quantiles and Frequencies Using Graphics Processors
We present algorithms for fast quantile and frequency estimation in large data streams using graphics processor units (GPUs). We exploit the high computational power and memory ba...
Naga K. Govindaraju, Nikunj Raghuvanshi, Dinesh Ma...
BSN
2009
IEEE
149views Sensor Networks» more  BSN 2009»
14 years 2 months ago
Optimizing Interval Training Protocols Using Data Mining Decision Trees
— Interval training consists of interl intensity exercises with rest periods. This training well known exercise protocol which helps stre improve one’s cardiovascular fitness. ...
Myung-kyung Suh, Mahsan Rofouei, Ani Nahapetian, W...