44 search results - page 4 / 9 » A probability analysis for candidate-based frequent itemset ... |
PAKDD
2010
ACM
13 years 7 months ago
2010
ACM
Mining frequent itemsets from transactional datasets is a well known problem with good algorithmic solutions. In the case of uncertain data, however, several new techniques have be...
KDD
2003
ACM
14 years 6 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...
ICDM
2007
IEEE
14 years 2 days ago
2007
IEEE
Constraints applied on classic frequent patterns are too strict and may cause interesting patterns to be missed. Hence, researchers have proposed to mine a more relaxed version of...
DATAMINE
1999
13 years 5 months ago
1999
Discovery of frequent patterns has been studied in a variety of data mining settings. In its simplest form, known from association rule mining, the task is to discover all frequent...
PADL
2000
Springer
13 years 9 months ago
2000
Springer
The general goal of data mining is to extract interesting correlated information from large collection of data. A key computationally-intensive subproblem of data mining involves ...