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» Hybrid Methods for Stock Index Modeling
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PAKDD
2007
ACM
203views Data Mining» more  PAKDD 2007»
14 years 12 days ago
Grammar Guided Genetic Programming for Flexible Neural Trees Optimization
Abstract. In our previous studies, Genetic Programming (GP), Probabilistic Incremental Program Evolution (PIPE) and Ant Programming (AP) have been used to optimal design of Flexibl...
Peng Wu, Yuehui Chen
ICDE
2008
IEEE
301views Database» more  ICDE 2008»
14 years 7 months ago
A Hybrid Prediction Model for Moving Objects
Existing prediction methods in moving objects databases cannot forecast locations accurately if the query time is far away from the current time. Even for near future prediction, m...
Hoyoung Jeung, Qing Liu, Heng Tao Shen, Xiaofang Z...
CIKM
2011
Springer
12 years 6 months ago
Hybrid models for future event prediction
We present a hybrid method to turn off-the-shelf information retrieval (IR) systems into future event predictors. Given a query, a time series model is trained on the publication...
Giuseppe Amodeo, Roi Blanco, Ulf Brefeld
ICDM
2010
IEEE
187views Data Mining» more  ICDM 2010»
13 years 4 months ago
Financial Forecasting with Gompertz Multiple Kernel Learning
Financial forecasting is the basis for budgeting activities and estimating future financing needs. Applying machine learning and data mining models to financial forecasting is both...
Han Qin, Dejing Dou, Yue Fang
PDIS
1993
IEEE
13 years 10 months ago
Nested Loops Revisited
The research communityhas considered hash-based parallel joinalgorithmsthe algorithmsof choice for almosta decade. However, almostnone ofthe commercialparallel database systems us...
David J. DeWitt, Jeffrey F. Naughton, Joseph Burge...