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» Memory Placement Techniques for Parallel Association Mining
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SIGMOD
1999
ACM
112views Database» more  SIGMOD 1999»
13 years 11 months ago
A New Method for Similarity Indexing of Market Basket Data
In recent years, many data mining methods have been proposed for finding useful and structured information from market basket data. The association rule model was recently propos...
Charu C. Aggarwal, Joel L. Wolf, Philip S. Yu
SISAP
2011
IEEE
437views Data Mining» more  SISAP 2011»
12 years 10 months ago
Succinct nearest neighbor search
In this paper we present a novel technique for nearest neighbor searching dubbed neighborhood approximation. The central idea is to divide the database into compact regions repres...
Eric Sadit Tellez, Edgar Chávez, Gonzalo Na...
KDD
2001
ACM
216views Data Mining» more  KDD 2001»
14 years 7 months ago
The distributed boosting algorithm
In this paper, we propose a general framework for distributed boosting intended for efficient integrating specialized classifiers learned over very large and distributed homogeneo...
Aleksandar Lazarevic, Zoran Obradovic
LCTRTS
2007
Springer
14 years 1 months ago
Compiler-managed partitioned data caches for low power
Set-associative caches are traditionally managed using hardwarebased lookup and replacement schemes that have high energy overheads. Ideally, the caching strategy should be tailor...
Rajiv A. Ravindran, Michael L. Chu, Scott A. Mahlk...
ICDM
2002
IEEE
159views Data Mining» more  ICDM 2002»
14 years 12 days ago
O-Cluster: Scalable Clustering of Large High Dimensional Data Sets
Clustering large data sets of high dimensionality has always been a serious challenge for clustering algorithms. Many recently developed clustering algorithms have attempted to ad...
Boriana L. Milenova, Marcos M. Campos