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» Discovering Empirical Equations from Robot-Collected Data
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INAP
2001
Springer
14 years 2 months ago
Discovering Frequent Itemsets in the Presence of Highly Frequent Items
This paper presents new techniques for focusing the discoveryof frequent itemsets within large, dense datasets containing highly frequent items. The existence of highly frequent i...
Dennis P. Groth, Edward L. Robertson
ICSM
1995
IEEE
14 years 1 months ago
Discovering relationships between service and customer satisfaction
Organizations spend significant resources tracking customer satisfaction and managing service delivery. Although a great deal of effort is expended in understanding what goes on w...
Michael Buckley, Ram Chillarege
DATAMINE
2008
143views more  DATAMINE 2008»
13 years 10 months ago
Automatically countering imbalance and its empirical relationship to cost
Learning from imbalanced datasets presents a convoluted problem both from the modeling and cost standpoints. In particular, when a class is of great interest but occurs relatively...
Nitesh V. Chawla, David A. Cieslak, Lawrence O. Ha...
ICIS
2004
13 years 11 months ago
A Factor and Structural Equation Analysis of the Enterprise Systems Success Measurement Model
Enterprise systems entail complex organizational interventions. Accurately gauging the impact of any complex information system requires understanding its multidimensionality, and...
Darshana Sedera, Guy G. Gable
ISCI
2008
137views more  ISCI 2008»
13 years 9 months ago
Inference of differential equation models by genetic programming
This paper describes an evolutionary method for identifying a causal model from the observed time series data. We use a system of ordinary differential equations (ODEs) as the cau...
Hitoshi Iba