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DKE
2006
83views more  DKE 2006»
15 years 6 months ago
Bulk insertion for R-trees by seeded clustering
We propose a scalable technique called Seeded Clustering that allows us to maintain R-tree indices by bulk insertion while keeping pace with high data arrival rates. Our approach ...
Taewon Lee, Bongki Moon, Sukho Lee
JSS
2010
91views more  JSS 2010»
15 years 5 months ago
Assessing the impact of global variables on program dependence and dependence clusters
This paper presents results of a study of the effect of global variables on the quantity of dependence in general and on the presence of dependence clusters in particular. The pa...
David Binkley, Mark Harman, Youssef Hassoun, Syed ...
BMCBI
2007
112views more  BMCBI 2007»
15 years 6 months ago
Inferring biological functions and associated transcriptional regulators using gene set expression coherence analysis
Background: Gene clustering has been widely used to group genes with similar expression pattern in microarray data analysis. Subsequent enrichment analysis using predefined gene s...
Tae-Min Kim, Yeun-Jun Chung, Mun-Gan Rhyu, Myeong ...
IPPS
1996
IEEE
15 years 10 months ago
Benefits of Processor Clustering in Designing Large Parallel Systems: When and How?
Advances in multiprocessor interconnect technologyare leading to high performance networks. However, software overheadsassociated with message passing are limiting the processors ...
Debashis Basak, Dhabaleswar K. Panda, Mohammad Ban...
KDD
2006
ACM
156views Data Mining» more  KDD 2006»
16 years 7 months ago
Detecting outliers using transduction and statistical testing
Outlier detection can uncover malicious behavior in fields like intrusion detection and fraud analysis. Although there has been a significant amount of work in outlier detection, ...
Daniel Barbará, Carlotta Domeniconi, James ...