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» Forecasting high-dimensional data
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EVOW
2006
Springer
15 years 1 months ago
A Hybrid GA/SVM Approach for Gene Selection and Classification of Microarray Data
We propose a Genetic Algorithm (GA) approach combined with Support Vector Machines (SVM) for the classification of high dimensional Microarray data. This approach is associated to ...
Edmundo Bonilla Huerta, Béatrice Duval, Jin...
WCE
2007
14 years 11 months ago
The Dynamic Spatial Disaggregation Approach: A Spatio-Temporal Modelling of Crime
— The spatio-temporal modelling and forecasting of incidences of crimes have now become a routine part of crime prevention operations. However, obtaining reliable forecasts for c...
Christian Ivaha, Hasan Al-Madfai, Gary Higgs, J. A...
KDD
2012
ACM
221views Data Mining» more  KDD 2012»
13 years 6 days ago
Fast mining and forecasting of complex time-stamped events
Given huge collections of time-evolving events such as web-click logs, which consist of multiple attributes (e.g., URL, userID, timestamp), how do we find patterns and trends? Ho...
Yasuko Matsubara, Yasushi Sakurai, Christos Falout...
DMIN
2006
105views Data Mining» more  DMIN 2006»
14 years 11 months ago
Development of an Optimal Neural Network for Avalanche Forecast in Himalayan Region
- This paper deals with the application of a well-known data mining technique, multi-layer back-propagation neural network, for forecasting of an avalanche in Himalayan region. Met...
Rashpal Kaur, Mahesh Bansal, Atul Parti, V. Rihani
INFORMATICALT
2007
71views more  INFORMATICALT 2007»
14 years 9 months ago
Forecast Model of Impact of Meteorological Factors on Coronary Artery Disease Patients
Abstract. A medical-meteorological weather assessment using hybrid spatial classification of synoptic and meteorological data was done. Empirical models for assessment as well as ...
Arvydas Martinkenas, Vytautas Kaminskas, Giedrius ...