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ICMLA
2004
15 years 1 months ago
Outlier detection and evaluation by network flow
Detecting outliers is an important topic in data mining. Sometimes the outliers are more interesting than the rest of the data. Outlier identification has lots of applications, su...
Ying Liu, Alan P. Sprague
CORR
2007
Springer
141views Education» more  CORR 2007»
14 years 11 months ago
Managing Uncertainty: A Case for Probabilistic Grid Scheduling
The Grid technology is evolving into a global, service-orientated architecture – a universal platform for delivering future high demand computational services. Strong adoption of...
Aleksandar Lazarevic, Lionel Sacks, Ognjen Prnjat
OR
2007
Springer
14 years 11 months ago
Hybrid heuristics for the probabilistic maximal covering location-allocation problem
The Maximal Covering Location Problem (MCLP) maximizes the population that has a facility within a maximum travel distance or time. Numerous extensions have been proposed to enhan...
Francisco de Assis Corrêa, Antonio Augusto C...
CLUSTER
2009
IEEE
15 years 6 months ago
MDCSim: A multi-tier data center simulation, platform
Abstract—Performance and power issues are becoming increasingly important in the design of large cluster based multitier data centers for supporting a multitude of services. Desi...
Seung-Hwan Lim, Bikash Sharma, Gunwoo Nam, Eun-Kyo...
KDD
2008
ACM
274views Data Mining» more  KDD 2008»
16 years 7 days ago
Data mining using high performance data clouds: experimental studies using sector and sphere
We describe the design and implementation of a high performance cloud that we have used to archive, analyze and mine large distributed data sets. By a cloud, we mean an infrastruc...
Robert L. Grossman, Yunhong Gu