174 search results - page 28 / 35 » Probabilistic frequent itemset mining in uncertain databases |
KDD
1998
ACM
13 years 12 months ago
1998
ACM
We consider the problem of aggregation for uncertain and imprecise data. For such data, we define aggregation operators and use them to provide information on properties and patte...
ICDE
2005
IEEE
14 years 9 months ago
2005
IEEE
Previous work on mining transactional database has focused primarily on mining frequent itemsets, association rules, and sequential patterns. However, interesting relationships be...
DASFAA
2007
IEEE
14 years 2 months ago
2007
IEEE
Networks of thousands of sensors present a feasible and economic solution to some of our most challenging problems, such as real-time traffic modeling, military sensing and trackin...
KDD
2007
ACM
14 years 1 months ago
2007
ACM
The support-confidence framework is the most common measure used in itemset mining algorithms, for its antimonotonicity that effectively simplifies the search lattice. This com...
KDD
2010
ACM
13 years 11 months ago
2010
ACM
Classification is one of the most essential tasks in data mining. Unlike other methods, associative classification tries to find all the frequent patterns existing in the input...