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» A Localized Algorithm for Parallel Association Mining
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DMIN
2006
144views Data Mining» more  DMIN 2006»
14 years 10 months ago
Discovering Assignment Rules in Workforce Schedules Using Data Mining
Discovering hidden patterns in large sets of workforce schedules to gain insight into the potential knowledge in workforce schedules are crucial to better understanding the workfor...
Jihong Yan
DATAMINE
2006
130views more  DATAMINE 2006»
14 years 9 months ago
Mining Adaptive Ratio Rules from Distributed Data Sources
Different from traditional association-rule mining, a new paradigm called Ratio Rule (RR) was proposed recently. Ratio rules are aimed at capturing the quantitative association kno...
Jun Yan, Ning Liu, Qiang Yang, Benyu Zhang, QianSh...
ALGORITHMICA
2006
139views more  ALGORITHMICA 2006»
14 years 9 months ago
CONQUEST: A Coarse-Grained Algorithm for Constructing Summaries of Distributed Discrete Datasets
Abstract. In this paper we present a coarse-grained parallel algorithm, CONQUEST, for constructing boundederror summaries of high-dimensional binary attributed data in a distribute...
Jie Chi, Mehmet Koyutürk, Ananth Grama
HPCC
2005
Springer
15 years 2 months ago
Exploring Regression for Mining User Moving Patterns in a Mobile Computing System
In this paper, by exploiting the log of call detail records, we present a solution procedure of mining user moving patterns in a mobile computing system. Specifically, we propose ...
Chih-Chieh Hung, Wen-Chih Peng, Jiun-Long Huang
HPCA
2000
IEEE
15 years 1 months ago
Modified LRU Policies for Improving Second-Level Cache Behavior
Main memory accesses continue to be a significant bottleneck for applications whose working sets do not fit in second-level caches. With the trend of greater associativity in seco...
Wayne A. Wong, Jean-Loup Baer