279 search results - page 5 / 56 » Methods for finding frequent items in data streams |
KDD
2002
ACM
14 years 7 months ago
2002
ACM
In this paper, we present a novel algorithm OpportuneProject for mining complete set of frequent item sets by projecting databases to grow a frequent item set tree. Our algorithm ...
ICDM
2005
IEEE
14 years 15 days ago
2005
IEEE
Frequent itemset mining is a core data mining operation and has been extensively studied over the last decade. This paper takes a new approach for this problem and makes two major...
CIDM
2007
IEEE
13 years 7 months ago
2007
IEEE
Data stream applications like sensor network data, click stream data, have data arriving continuously at high speed rates and require online mining process capable of delivering c...
DIS
2009
Springer
14 years 1 months ago
2009
Springer
Some challenges in frequent pattern mining from data streams are the drift of data distribution and the computational efficiency. In this work an additional challenge is considered...
PAKDD
2005
ACM
14 years 11 days ago
2005
ACM
We define sporadic rules as those with low support but high confidence: for example, a rare association of two symptoms indicating a rare disease. To find such rules using the w...