288 search results - page 10 / 58 » Estimating the number of frequent itemsets in a large databa... |
173
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JCST
2008
15 years 6 months ago
2008
This paper presents some new algorithms to efficiently mine max frequent generalized itemsets (g-itemsets) and essential generalized association rules (g-rules). These are compact ...
170
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DKE
2007
15 years 6 months ago
2007
A well-known problem that limits the practical usage of association rule mining algorithms is the extremely large number of rules generated. Such a large number of rules makes the...
150
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CINQ
2004
Springer
15 years 11 months ago
2004
Springer
Mining Frequent Itemsets is the core operation of many data mining algorithms. This operation however, is very data intensive and sometimes produces a prohibitively large output. I...
166
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ICDM
2005
IEEE
15 years 11 months ago
2005
IEEE
In data mining, enumerate the frequent or the closed patterns is often the first difficult task leading to the association rules discovery. The number of these patterns represen...
159
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DEXA
2004
Springer
15 years 11 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 ...