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» Efficiently Mining Long Patterns from Databases
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SOFTWARE
2002
14 years 9 months ago
Temporal Probabilistic Concepts from Heterogeneous Data Sequences
We consider the problem of characterisation of sequences of heterogeneous symbolic data that arise from a common underlying temporal pattern. The data, which are subject to impreci...
Sally I. McClean, Bryan W. Scotney, Fiona Palmer
KDD
1999
ACM
217views Data Mining» more  KDD 1999»
15 years 2 months ago
An Efficient Algorithm to Update Large Itemsets with Early Pruning
We present an efficient algorithm (UWEP) for updating large itemsets when new transactions are added to the set of old transactions. UWEP employs a dynamic lookahead strategy in u...
Necip Fazil Ayan, Abdullah Uz Tansel, M. Erol Arku...
KDD
1995
ACM
173views Data Mining» more  KDD 1995»
15 years 1 months ago
Knowledge Discovery in Textual Databases (KDT)
The information age is characterizedby a rapid growth in the amountof information availablein electronicmedia. Traditional data handling methods are not adequate to cope with this...
Ronen Feldman, Ido Dagan
DMKD
2004
ACM
167views Data Mining» more  DMKD 2004»
15 years 3 months ago
FP-tax: tree structure based generalized association rule mining
Data mining has been widely recognized as a powerful tool to explore added value from large-scale databases. One of data mining techniques, generalized association rule mining wit...
Iko Pramudiono, Masaru Kitsuregawa
PAKDD
2005
ACM
128views Data Mining» more  PAKDD 2005»
15 years 3 months ago
A Two-Phase Algorithm for Fast Discovery of High Utility Itemsets
Traditional association rules mining cannot meet the demands arising from some real applications. By considering the different values of individual items as utilities, utility mini...
Ying Liu, Wei-keng Liao, Alok N. Choudhary