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» CURE: An Efficient Clustering Algorithm for Large Databases
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AUSAI
2003
Springer
14 years 20 days ago
Efficiently Mining Frequent Patterns from Dense Datasets Using a Cluster of Computers
Efficient mining of frequent patterns from large databases has been an active area of research since it is the most expensive step in association rules mining. In this paper, we pr...
Yudho Giri Sucahyo, Raj P. Gopalan, Amit Rudra
ADC
2007
Springer
183views Database» more  ADC 2007»
13 years 11 months ago
Efficient Similarity Search by Summarization in Large Video Database
With the explosion of video data, video processing technologies have advanced quickly and been applied into many fields, such as advertisements, medical etc.. To fast search these...
Xiangmin Zhou, Xiaofang Zhou, Heng Tao Shen
DPD
2002
125views more  DPD 2002»
13 years 7 months ago
Parallel Mining of Outliers in Large Database
Data mining is a new, important and fast growing database application. Outlier (exception) detection is one kind of data mining, which can be applied in a variety of areas like mon...
Edward Hung, David Wai-Lok Cheung
SIGMOD
2007
ACM
190views Database» more  SIGMOD 2007»
14 years 7 months ago
Map-reduce-merge: simplified relational data processing on large clusters
Map-Reduce is a programming model that enables easy development of scalable parallel applications to process vast amounts of data on large clusters of commodity machines. Through ...
Hung-chih Yang, Ali Dasdan, Ruey-Lung Hsiao, Dougl...
VLDB
1995
ACM
163views Database» more  VLDB 1995»
13 years 11 months ago
An Efficient Algorithm for Mining Association Rules in Large Databases
Mining for a.ssociation rules between items in a large database of sales transactions has been described as an important database mining problem. In this paper we present an effic...
Ashok Savasere, Edward Omiecinski, Shamkant B. Nav...