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» Massive Data Pre-Processing with a Cluster Based Approach
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BMCBI
2007
156views more  BMCBI 2007»
15 years 4 months ago
Large-scale clustering of CAGE tag expression data
Background: Recent analyses have suggested that many genes possess multiple transcription start sites (TSSs) that are differentially utilized in different tissues and cell lines. ...
Kazuro Shimokawa, Yuko Okamura-Oho, Takio Kurita, ...
138
Voted
ICDCSW
2005
IEEE
15 years 9 months ago
Adaptive Real-Time Anomaly Detection with Improved Index and Ability to Forget
Anomaly detection in IP networks, detection of deviations from what is considered normal, is an important complement to misuse detection based on known attack descriptions. Perfor...
Kalle Burbeck, Simin Nadjm-Tehrani
AUSDM
2007
Springer
101views Data Mining» more  AUSDM 2007»
15 years 8 months ago
Exploratory Multilevel Hot Spot Analysis: Australian Taxation Office Case Study
Population based real-life datasets often contain smaller clusters of unusual sub-populations. While these clusters, called `hot spots', are small and sparse, they are usuall...
Denny, Graham J. Williams, Peter Christen
210
Voted
CMS
2011
229views Communications» more  CMS 2011»
14 years 3 months ago
Twin Clouds: Secure Cloud Computing with Low Latency - (Full Version)
Abstract. Cloud computing promises a cost effective enabling technology to outsource storage and massively parallel computations. However, existing approaches for provably secure ...
Sven Bugiel, Stefan Nürnberger, Ahmad-Reza Sa...
SSDBM
2005
IEEE
132views Database» more  SSDBM 2005»
15 years 9 months ago
Co-Scheduling of Computation and Data on Computer Clusters
Scientific investigations have to deal with rapidly growing amounts of data from simulations and experiments. During data analysis, scientists typically want to extract subsets o...
Alexandru Romosan, Doron Rotem, Arie Shoshani, Der...