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» A new evolutionary method for time series forecasting
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CORR
2002
Springer
139views Education» more  CORR 2002»
13 years 7 months ago
Symbolic Methodology in Numeric Data Mining: Relational Techniques for Financial Applications
Currently statistical and artificial neural network methods dominate in financial data mining. Alternative relational (symbolic) data mining methods have shown their effectiveness...
Boris Kovalerchuk, Evgenii Vityaev, H. Yusupov
DBA
2006
236views Database» more  DBA 2006»
13 years 9 months ago
Quantizing Time Series for Efficient Subsequence Matching
Indexing time series data is an interesting problem that has attracted much interest in the research community for the last decade. Traditional indexing methods organize the data ...
Inés Fernando Vega López, Bongki Moo...
JSSPP
2007
Springer
14 years 1 months ago
QBETS: Queue Bounds Estimation from Time Series
Most space-sharing parallel computers presently operated by high-performance computing centers use batch-queuing systems to manage processor allocation. Because these machines are...
Daniel Nurmi, John Brevik, Richard Wolski
KAIS
2008
221views more  KAIS 2008»
13 years 7 months ago
Forecasting skewed biased stochastic ozone days: analyses, solutions and beyond
Much work on skewed, stochastic, high dimensional, and biased datasets usually implicitly solve each problem separately. Recently, we have been approached by Texas Commission on En...
Kun Zhang, Wei Fan
SAC
2002
ACM
13 years 7 months ago
An evolutionary algorithm for reducing integrated-circuit test application time
The cost for testing integrated circuits represents a growing percentage of the total cost for their production. The former strictly depends on the length of the test session, and...
Fulvio Corno, Matteo Sonza Reorda, Giovanni Squill...