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» Classes and clusters in data analysis
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ICISC
2004
169views Cryptology» more  ICISC 2004»
15 years 8 months ago
ADWICE - Anomaly Detection with Real-Time Incremental Clustering
Abstract. Anomaly detection, detection of deviations from what is considered normal, is an important complement to misuse detection based on attack signatures. Anomaly detection in...
Kalle Burbeck, Simin Nadjm-Tehrani
EUROSYS
2011
ACM
14 years 10 months ago
Scarlett: coping with skewed content popularity in mapreduce clusters
To improve data availability and resilience MapReduce frameworks use file systems that replicate data uniformly. However, analysis of job logs from a large production cluster show...
Ganesh Ananthanarayanan, Sameer Agarwal, Srikanth ...
CC
2010
Springer
190views System Software» more  CC 2010»
16 years 1 months ago
Is Reuse Distance Applicable to Data Locality Analysis on Chip Multiprocessors?
On Chip Multiprocessors (CMP), it is common that multiple cores share certain levels of cache. The sharing increases the contention in cache and memory-to-chip bandwidth, further h...
Yunlian Jiang, Eddy Z. Zhang, Kai Tian, Xipeng She...
FOCS
2010
IEEE
15 years 4 months ago
A Multiplicative Weights Mechanism for Privacy-Preserving Data Analysis
Abstract--We consider statistical data analysis in the interactive setting. In this setting a trusted curator maintains a database of sensitive information about individual partici...
Moritz Hardt, Guy N. Rothblum
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 ...