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» Efficient Frequent Pattern Mining in Relational Databases
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KDD
2005
ACM
181views Data Mining» more  KDD 2005»
14 years 8 months ago
Evaluating similarity measures: a large-scale study in the orkut social network
Online information services have grown too large for users to navigate without the help of automated tools such as collaborative filtering, which makes recommendations to users ba...
Ellen Spertus, Mehran Sahami, Orkut Buyukkokten
WWW
2007
ACM
14 years 8 months ago
Mirror site maintenance based on evolution associations of web directories
Mirroring Web sites is a well-known technique commonly used in the Web community. A mirror site should be updated frequently to ensure that it reflects the content of the original...
Ling Chen 0002, Sourav S. Bhowmick, Wolfgang Nejdl
SIGMOD
1993
ACM
163views Database» more  SIGMOD 1993»
13 years 11 months ago
The LRU-K Page Replacement Algorithm For Database Disk Buffering
This paper introduces a new approach to database disk buffering, called the LRU–K method. The basic idea of LRU–K is to keep track of the times of the last K references to pop...
Elizabeth J. O'Neil, Patrick E. O'Neil, Gerhard We...
ICMCS
2008
IEEE
145views Multimedia» more  ICMCS 2008»
14 years 2 months ago
Video search reranking via online ordinal reranking
To exploit co-occurrence patterns among features and target semantics while keeping the simplicity of the keywordbased visual search, a novel reranking methods is proposed. The ap...
Yi-Hsuan Yang, Winston H. Hsu
ICDIM
2010
IEEE
13 years 5 months ago
Data mining and automatic OLAP schema generation
Data mining aims at extraction of previously unidentified information from large databases. It can be viewed as an automated application of algorithms to discover hidden patterns a...
Muhammad Usman, Sohail Asghar, Simon Fong