1913 search results - page 99 / 383 » Using Data Mining in MURA Graphic Problems |
156
Voted
ASC
2006
15 years 3 months ago
2006
For some time, learning Bayesian networks has been both feasible and useful in many problems domains. Recently research has been done on learning equivalence classes of Bayesian n...
156
Voted
KDD
2012
ACM
13 years 6 months ago
2012
ACM
Historical prices are important information that can help consumers decide whether the time is right to buy a product. They provide both a context to the users, and facilitate the...
138
Voted
SDM
2009
SIAM
16 years 25 days ago
2009
SIAM
Process Mining refers to the extraction of process models from event logs. Real-life processes tend to be less structured and more flexible. Traditional process mining algorithms...
125
Voted
DAWAK
2003
Springer
15 years 8 months ago
2003
Springer
Abstract In data clustering, many approaches have been proposed. For example, K-means method and hierarchical method. A problem is in effect by initial value and criterion to comb...
150
Voted
KDD
2007
ACM
16 years 4 months ago
2007
ACM
Multinomial distributions over words are frequently used to model topics in text collections. A common, major challenge in applying all such topic models to any text mining proble...