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» Clustering performance data efficiently at massive scales
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DATAMINE
2006
176views more  DATAMINE 2006»
15 years 19 days ago
A Bit Level Representation for Time Series Data Mining with Shape Based Similarity
Clipping is the process of transforming a real valued series into a sequence of bits representing whether each data is above or below the average. In this paper, we argue that clip...
Anthony J. Bagnall, Chotirat (Ann) Ratanamahatana,...
IHI
2010
198views Healthcare» more  IHI 2010»
14 years 7 months ago
Large-scale multimodal mining for healthcare with mapreduce
Recent advances in healthcare and bioscience technologies and proliferation of portable medical devices are producing massive amounts of multimodal data. The need for parallel pro...
Fei Wang, Vuk Ercegovac, Tanveer Fathima Syeda-Mah...
RECOMB
2007
Springer
16 years 27 days ago
An Efficient and Accurate Graph-Based Approach to Detect Population Substructure
Currently, large-scale projects are underway to perform whole genome disease association studies. Such studies involve the genotyping of hundreds of thousands of SNP markers. One o...
Srinath Sridhar, Satish Rao, Eran Halperin
123
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WWW
2003
ACM
16 years 1 months ago
Application specific data replication for edge services
The emerging edge services architecture promises to improve the availability and performance of web services by replicating servers at geographically distributed sites. A key chal...
Lei Gao, Michael Dahlin, Amol Nayate, Jiandan Zhen...
TCSV
2008
175views more  TCSV 2008»
15 years 15 days ago
Expandable Data-Driven Graphical Modeling of Human Actions Based on Salient Postures
This paper presents a graphical model for learning and recognizing human actions. Specifically, we propose to encode actions in a weighted directed graph, referred to as action gra...
Wanqing Li, Zhengyou Zhang, Zicheng Liu