279 search results - page 17 / 56 » Methods for finding frequent items in data streams |
PKDD
2007
Springer
14 years 1 months ago
2007
Springer
Frequent itemset mining assists the data mining practitioner in searching for strongly associated items (and transactions) in large transaction databases. Since the number of frequ...
RCIS
2010
13 years 6 months ago
2010
—The strategies for mining frequent itemsets, which is the essential part of discovering association rules, have been widely studied over the last decade. In real-world datasets,...
KDD
2004
ACM
14 years 8 months ago
2004
ACM
The paper presents a method for pruning frequent itemsets based on background knowledge represented by a Bayesian network. The interestingness of an itemset is defined as the abso...
ICDE
2007
IEEE
14 years 2 months ago
2007
IEEE
Data stream methods look at each new item of the stream, perform a small number of operations while keeping a small amount of memory, and still perform muchneeded analyses. Howeve...
ICML
1996
IEEE
14 years 8 months ago
1996
IEEE
Finding structure in multiple streams of data is an important problem. Consider the streams of data owing from a robot's sensors, the monitors in an intensive care unit, or p...