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» MAFIA: A Maximal Frequent Itemset Algorithm for Transactiona...
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APPINF
2003
13 years 10 months ago
Fast Frequent Itemset Mining using Compressed Data Representation
Discovering association rules by identifying relationships among sets of items in a transaction database is an important problem in Data Mining. Finding frequent itemsets is compu...
Raj P. Gopalan, Yudho Giri Sucahyo
ICDM
2007
IEEE
166views Data Mining» more  ICDM 2007»
14 years 3 months ago
Mining Statistical Information of Frequent Fault-Tolerant Patterns in Transactional Databases
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...
Ardian Kristanto Poernomo, Vivekanand Gopalkrishna...
FIMI
2003
123views Data Mining» more  FIMI 2003»
13 years 10 months ago
Apriori, A Depth First Implementation
We will discuss , the depth first implementation of APRIORI as devised in 1999 (see [8]). Given a database, this algorithm builds a trie in memory that contains all frequent item...
Walter A. Kosters, Wim Pijls
ICDM
2007
IEEE
180views Data Mining» more  ICDM 2007»
14 years 3 months ago
Mining Frequent Itemsets in a Stream
We study the problem of finding frequent itemsets in a continuous stream of transactions. The current frequency of an itemset in a stream is defined as its maximal frequency ove...
Toon Calders, Nele Dexters, Bart Goethals
KDD
2001
ACM
196views Data Mining» more  KDD 2001»
14 years 9 months ago
Efficient discovery of error-tolerant frequent itemsets in high dimensions
We present a generalization of frequent itemsets allowing the notion of errors in the itemset definition. We motivate the problem and present an efficient algorithm that identifie...
Cheng Yang, Usama M. Fayyad, Paul S. Bradley