53 search results - page 5 / 11 » Mining probabilistic generalized frequent itemsets in uncert... |
ICDE
2003
IEEE
14 years 8 months ago
2003
IEEE
The output of boolean association rule mining algorithms is often too large for manual examination. For dense datasets, it is often impractical to even generate all frequent items...
KDD
2001
ACM
14 years 7 months ago
2001
ACM
We present a generalization of frequent itemsets allowing the notion of errors in the itemset definition. We motivate the problem and present an efficient algorithm that identifie...
PVLDB
2010
13 years 5 months ago
2010
Managing, searching and mining uncertain data has achieved much attention in the database community recently due to new sensor technologies and new ways of collecting data. There ...
CIKM
2009
Springer
14 years 2 months ago
2009
Springer
Graph data are subject to uncertainties in many applications due to incompleteness and imprecision of data. Mining uncertain graph data is semantically different from and computat...
KDD
2003
ACM
14 years 7 months ago
2003
ACM
A data stream is a massive unbounded sequence of data elements continuously generated at a rapid rate. Consequently, the knowledge embedded in a data stream is more likely to be c...