195 search results - page 21 / 39 » Quantifying Uncertainty of Knowledge Discovered From Databas... |
WAIM
2004
Springer
15 years 2 months ago
2004
Springer
Data mining extracts implicit, previously unknown and potentially useful information from databases. Many approaches have been proposed to extract information, and one of the most ...
ISDA
2009
IEEE
15 years 4 months ago
2009
IEEE
Educational process mining (EPM) aims at (i) constructing complete and compact educational process models that are able to reproduce all observed behavior (process model discovery...
AUSDM
2008
Springer
14 years 11 months ago
2008
Springer
Share-frequent pattern mining discovers more useful and realistic knowledge from database compared to the traditional frequent pattern mining by considering the non-binary frequen...
CORR
2010
Springer
14 years 7 months ago
2010
Springer
Mining association rules is a task of data mining, which extracts knowledge in the form of significant implication relation of useful items (objects) from a database. Mining multi...
88
Voted
NAR
2011
14 years 11 days ago
2011
Correlations of gene-to-gene co-expression and metabolite-to-metabolite co-accumulation calculated from large amounts of transcriptome and metabolome data are useful for uncoverin...