165 search results - page 9 / 33 » Discovering Frequent Closed Itemsets for Association Rules |
PAKDD
2010
ACM
14 years 12 days ago
2010
ACM
Abstract. Discovering interesting patterns in long sequences, and finding confident association rules within them, is a popular area in data mining. Most existing methods define...
APIN
2008
13 years 7 months ago
2008
Abstract-Mining generalized association rules between items in the presence of taxonomy has been recognized as an important model in data mining. Earlier work on mining generalized...
VLDB
2004
ACM
14 years 29 days ago
2004
ACM
1 Frequent itemset counting is the first step for most association rule algorithms and some classification algorithms. It is the process of counting the number of occurrences of ...
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...
IJFCS
2008
13 years 7 months ago
2008
In data mining applications, highly sized contexts are handled what usually results in a considerably large set of frequent itemsets, even for high values of the minimum support t...