330 search results - page 20 / 66 » A Performance Prediction Framework for Grid-Based Data Minin... |
SAC
2009
ACM
14 years 3 months ago
2009
ACM
Regime switching models, in which the state of the world is locally stationary, are a useful abstraction for many continuous valued data streams. In this paper we develop an onlin...
ESANN
2004
13 years 10 months ago
2004
This work focuses on one of the most critical issues to plague the wireless telecommunications industry today: the loss of a valuable subscriber to a competitor, also defined as ch...
KDD
2001
ACM
14 years 9 months ago
2001
ACM
Predictive models developed by applying Data Mining techniques are used to improve forecasting accuracy in the airline business. In order to maximize the revenue on a flight, the ...
SDM
2009
SIAM
14 years 6 months ago
2009
SIAM
In this paper, we present a framework for categorical data analysis which allows such data sets to be explored using a rich set of techniques that are only applicable to continuou...
PKDD
2004
Springer
14 years 2 months ago
2004
Springer
Abstract. Orange (www.ailab.si/orange) is a suite for machine learning and data mining. It can be used though scripting in Python or with visual programming in Orange Canvas using ...