107 search results - page 5 / 22 » Discovering Empirical Equations from Robot-Collected Data |
83
Voted
INAP
2001
Springer
15 years 2 months ago
2001
Springer
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...
99
Voted
ICSM
1995
IEEE
15 years 1 months ago
1995
IEEE
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...
DATAMINE
2008
14 years 9 months ago
2008
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...
77
Voted
ICIS
2004
14 years 11 months ago
2004
Enterprise systems entail complex organizational interventions. Accurately gauging the impact of any complex information system requires understanding its multidimensionality, and...
90
Voted
ISCI
2008
14 years 9 months ago
2008
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...