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» Parallel Mining of Outliers in Large Database
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AUSAI
2003
Springer
14 years 21 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
FPL
2008
Springer
122views Hardware» more  FPL 2008»
13 years 9 months ago
Mining Association Rules with systolic trees
Association Rules Mining (ARM) algorithms are designed to find sets of frequently occurring items in large databases. ARM applications have found their way into a variety of field...
Song Sun, Joseph Zambreno
DOLAP
2010
ACM
13 years 5 months ago
Relational versus non-relational database systems for data warehousing
Relational database systems have been the dominating technology to manage and analyze large data warehouses. Moreover, the ER model, the standard in database design, has a close r...
Carlos Ordonez, Il-Yeol Song, Carlos Garcia-Alvara...
IPPS
2006
IEEE
14 years 1 months ago
Design and analysis of a multi-dimensional data sampling service for large scale data analysis applications
Sampling is a widely used technique to increase efficiency in database and data mining applications operating on large dataset. In this paper we present a scalable sampling imple...
Xi Zhang, Tahsin M. Kurç, Joel H. Saltz, Sr...
KDD
1994
ACM
82views Data Mining» more  KDD 1994»
13 years 11 months ago
Architectural Support for Data Mining
Oneof the mainobstacles in applying data mining techniques to large, real-world databasesis the lack of efficient data management.In this paper, wepresent the design and implement...
Marcel Holsheimer, Martin L. Kersten