6 search results - page 1 / 2 » Mining massively incomplete data sets by conceptual reconstr... |
KDD
2001
ACM
14 years 5 months ago
2001
ACM
GECCO
2004
Springer
13 years 10 months ago
2004
Springer
Data mining has recently attracted attention as a set of efficient techniques that can discover patterns from huge data. More recent advancements in collecting massive evolving da...
GECCO
2008
Springer
13 years 5 months ago
2008
Springer
The aim of process mining is to identify and extract process patterns from data logs to reconstruct an overall process flowchart. As business processes become more and more comple...
ICDM
2008
IEEE
13 years 11 months ago
2008
IEEE
Many data sets are incomplete. For correct analysis of such data, one can either use algorithms that are designed to handle missing data or use imputation. Imputation has the bene...
BMCBI
2010
13 years 4 months ago
2010
Background: Recently, supervised learning methods have been exploited to reconstruct gene regulatory networks from gene expression data. The reconstruction of a network is modeled...