7387 search results - page 868 / 1478 » Knowledge-based data mining |
196
click to vote
KDD
2003
ACM
16 years 7 months ago
2003
ACM
Data Mining with Bayesian Network learning has two important characteristics: under broad conditions learned edges between variables correspond to causal influences, and second, f...
194
click to vote
KBSE
2009
IEEE
16 years 1 months ago
2009
IEEE
—We investigate claims and assumptions made in several recent papers about fault localization (FL) techniques. Most of these claims have to do with evaluating FL accuracy. Our in...
245
click to vote
EUSFLAT
2009
15 years 5 months ago
2009
Besides the problem of searching for effective methods for extracting knowledge from large databases (KDD) there are some additional problems with handling ecological data, namely ...
151
click to vote
KDD
2003
ACM
16 years 7 months ago
2003
ACM
Data mining techniques are routinely used by fundraisers to select those prospects from a large pool of candidates who are most likely to make a financial contribution. These tech...
237
click to vote
JMLR
2010
15 years 2 months ago
2010
As the size and dimensionality of data sets increase, the task of feature selection has become increasingly important. In this paper we demonstrate how association rules can be us...