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AMC
2005
191views more  AMC 2005»
13 years 9 months ago
Model identification of ARIMA family using genetic algorithms
ARIMA is a popular method to analyze stationary univariate time series data. There are usually three main stages to build an ARIMA model, including model identification, model est...
Chorng-Shyong Ong, Jih-Jeng Huang, Gwo-Hshiung Tze...
ISSTA
2004
ACM
14 years 3 months ago
Covering arrays for efficient fault characterization in complex configuration spaces
—Many modern software systems are designed to be highly configurable so they can run on and be optimized for a wide variety of platforms and usage scenarios. Testing such systems...
Cemal Yilmaz, Myra B. Cohen, Adam A. Porter
OSDI
2004
ACM
14 years 10 months ago
Correlating Instrumentation Data to System States: A Building Block for Automated Diagnosis and Control
This paper studies the use of statistical induction techniques as a basis for automated performance diagnosis and performance management. The goal of the work is to develop and ev...
Ira Cohen, Jeffrey S. Chase, Julie Symons, Mois&ea...
ICDE
2007
IEEE
131views Database» more  ICDE 2007»
14 years 4 months ago
Incremental Clustering of Mobile Objects
Moving objects are becoming increasingly attractive to the data mining community due to continuous advances in technologies like GPS, mobile computers, and wireless communication ...
Sigal Elnekave, Mark Last, Oded Maimon
GRID
2007
Springer
14 years 4 months ago
Load prediction using hybrid model for computational grid
—Due to the dynamic nature of grid environments, schedule algorithms always need assistance of a long-time-ahead load prediction to make decisions on how to use grid resources ef...
Yongwei Wu, Yulai Yuan, Guangwen Yang, Weimin Zhen...