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» Deducing Bounds on the Support of Itemsets
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CINQ
2004
Springer
125views Database» more  CINQ 2004»
13 years 12 months ago
Deducing Bounds on the Support of Itemsets
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...
Toon Calders
SAC
2004
ACM
14 years 5 hour ago
Mining dependence rules by finding largest itemset support quota
In the paper a new data mining algorithm for finding the most interesting dependence rules is described. Dependence rules are derived from the itemsets with support significantly ...
Alexandr A. Savinov
CINQ
2004
Springer
118views Database» more  CINQ 2004»
13 years 12 months ago
Boolean Formulas and Frequent Sets
We consider the problem of how one can estimate the support of Boolean queries given a collection of frequent itemsets. We describe an algorithm that truncates the inclusion-exclus...
Jouni K. Seppänen, Heikki Mannila
KDID
2004
134views Database» more  KDID 2004»
13 years 8 months ago
Theoretical Bounds on the Size of Condensed Representations
Abstract. Recent studies demonstrate the usefulness of condensed representations as a semantic compression technique for the frequent itemsets. Especially in inductive databases, c...
Nele Dexters, Toon Calders
IDA
2007
Springer
13 years 6 months ago
Approximate mining of frequent patterns on streams
Abstract. This paper introduces a new algorithm for approximate mining of frequent patterns from streams of transactions using a limited amount of memory. The proposed algorithm co...
Claudio Silvestri, Salvatore Orlando