573 search results - page 62 / 115 » Mining Frequent Itemsets from Uncertain Data |
PODS
2008
ACM
14 years 8 months ago
2008
ACM
There is an increasing quantity of data with uncertainty arising from applications such as sensor network measurements, record linkage, and as output of mining algorithms. This un...
APWEB
2006
Springer
13 years 11 months ago
2006
Springer
Discovering patterns with great significance is an important problem in data mining discipline. A serial episode is defined to be a partially ordered set of events for consecutive ...
IJKDB
2010
13 years 5 months ago
2010
Regulatory network analysis and other bioinformatics tasks require the ability to induce and represent arbitrary boolean expressions from data sources. We introduce a novel framew...
ADC
2003
Springer
14 years 1 months ago
2003
Springer
Discovering association rules that identify relationships among sets of items is an important problem in data mining. Finding frequent item sets is computationally the most expens...
ICICS
2005
Springer
14 years 1 months ago
2005
Springer
Private itemset support counting (PISC) is a basic building block of various privacy-preserving data mining algorithms. Briefly, in PISC, Client wants to know the support of her i...