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AUSAI
2003
Springer
15 years 4 months 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
SSDBM
2010
IEEE
185views Database» more  SSDBM 2010»
14 years 9 months ago
DESSIN: Mining Dense Subgraph Patterns in a Single Graph
Currently, a large amount of data can be best represented as graphs, e.g., social networks, protein interaction networks, etc. The analysis of these networks is an urgent research ...
Shirong Li, Shijie Zhang, Jiong Yang
ICPR
2006
IEEE
16 years 14 days ago
Scalable Representative Instance Selection and Ranking
Finding a small set of representative instances for large datasets can bring various benefits to data mining practitioners so they can (1) build a learner superior to the one cons...
Xindong Wu, Xingquan Zhu
BMCBI
2010
86views more  BMCBI 2010»
14 years 11 months ago
Fast motif recognition via application of statistical thresholds
Background: Improving the accuracy and efficiency of motif recognition is an important computational challenge that has application to detecting transcription factor binding sites...
Christina Boucher, James King
IOPADS
1996
87views more  IOPADS 1996»
15 years 20 days ago
Structured Permuting in Place on Parallel Disk Systems
The ability to perform permutations of large data sets in place reduces the amount of necessary available disk storage. The simplest way to perform a permutation often is to read ...
Leonard F. Wisniewski