1009 search results - page 137 / 202 » Using Data Mining to Estimate Missing Sensor Data |
137
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JSS
2006
2006
An empirical study of process-related attributes in segmented software cost-estimation relationships
15 years 6 months ago
Parametric software effort estimation models consisting on a single mathematical relationship suffer from poor adjustment and predictive characteristics in cases in which the hist...
178
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KDD
2009
ACM
16 years 6 months ago
2009
ACM
Learning probabilistic graphical models from high-dimensional datasets is a computationally challenging task. In many interesting applications, the domain dimensionality is such a...
178
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FIMI
2003
15 years 7 months ago
2003
A simple new algorithm is suggested for frequent itemset mining, using item probabilities as the basis for generating candidates. The method first finds all the frequent items, an...
163
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NIPS
1998
15 years 7 months ago
1998
The Expectation Maximization EM algorithm is an iterative procedure for maximum likelihood parameter estimation from data sets with missing or hidden variables 2 . It has been app...
129
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ICDM
2006
IEEE
16 years 1 days ago
2006
IEEE
We address the problem of capturing and tracking local correlations among time evolving time series. Our approach is based on comparing the local auto-covariance matrices (via the...