263 search results - page 6 / 53 » kDCI: a Multi-Strategy Algorithm for Mining Frequent Sets |
114
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DATAMINE
1999
14 years 9 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...
KDD
2009
ACM
15 years 4 months ago
2009
ACM
Over the past 15 years, numerous algorithms have been proposed for frequent pattern mining as it plays an essential role in many knowledge discovery and data mining (KDD) tasks. M...
102
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SBACPAD
2003
IEEE
15 years 2 months ago
2003
IEEE
Frequent itemset mining is a classic problem in data mining. It is a non-supervised process which concerns in finding frequent patterns (or itemsets) hidden in large volumes of d...
DIS
2007
Springer
15 years 3 months ago
2007
Springer
The maximum cardinality of a frequent set as well as the minimum cardinality of an infrequent set are important characteristic numbers in frequent (item) set mining. Gunopulos et a...
PAKDD
2009
ACM
15 years 6 months ago
2009
ACM
Since mining frequent patterns from transactional databases involves an exponential mining space and generates a huge number of patterns, efficient discovery of user-interest-based...