573 search results - page 49 / 115 » Mining Frequent Itemsets from Uncertain Data |
KDD
2005
ACM
14 years 8 months ago
2005
ACM
The problem of finding frequent patterns from graph-based datasets is an important one that finds applications in drug discovery, protein structure analysis, XML querying, and soc...
GFKL
2007
Springer
13 years 11 months ago
2007
Springer
Research in the field of knowledge discovery from temporal data recently focused on a new type of data: interval sequences. In contrast to event sequences interval sequences contai...
PAKDD
2005
ACM
14 years 1 months 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...
WWW
2006
ACM
14 years 8 months ago
2006
ACM
In this paper, we proposed an online algorithm, called FQT-Stream (Frequent Query Trees of Streams), to mine the set of all frequent tree patterns over a continuous XML data strea...
DEXA
2004
Springer
14 years 1 months ago
2004
Springer
Two important constraints of association rule mining algorithm are support and confidence. However, such constraints-based algorithms generally produce a large number of redundant ...