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KDD
2007
ACM
220views Data Mining» more  KDD 2007»
15 years 10 months ago
SCAN: a structural clustering algorithm for networks
Network clustering (or graph partitioning) is an important task for the discovery of underlying structures in networks. Many algorithms find clusters by maximizing the number of i...
Xiaowei Xu, Nurcan Yuruk, Zhidan Feng, Thomas A. J...
APWEB
2005
Springer
15 years 3 months ago
A Fast Algorithm for Mining Share-Frequent Itemsets
Itemset share has been proposed as a measure of the importance of itemsets for mining association rules. The value of the itemset share can provide useful information such as total...
Yu-Chiang Li, Jieh-Shan Yeh, Chin-Chen Chang
GRID
2008
Springer
14 years 9 months ago
Statistical Analysis and Modeling of Jobs in a Grid Environment
The existence of good probabilistic models for the job arrival process and the delay components introduced at different stages of job processing in a Grid environment is important ...
Kostas Christodoulopoulos, Vasileios Gkamas, Emman...
ICPPW
2008
IEEE
15 years 4 months ago
Performance Analysis and Optimization of Parallel Scientific Applications on CMP Cluster Systems
Chip multiprocessors (CMP) are widely used for high performance computing. Further, these CMPs are being configured in a hierarchical manner to compose a node in a cluster system....
Xingfu Wu, Valerie E. Taylor, Charles W. Lively, S...
KDD
2008
ACM
135views Data Mining» more  KDD 2008»
15 years 10 months ago
Effective and efficient itemset pattern summarization: regression-based approaches
In this paper, we propose a set of novel regression-based approaches to effectively and efficiently summarize frequent itemset patterns. Specifically, we show that the problem of ...
Ruoming Jin, Muad Abu-Ata, Yang Xiang, Ning Ruan