166
Voted
FIMI
15 years 1 months ago
2004 
One of the main problems raising up in the frequent closed itemsets mining problem is the duplicate detection. In this paper we propose a general technique for promptly detecting ...
75
Voted
FIMI
15 years 1 months ago
2004
Nowadays basic algorithms such as Apriori and Eclat often are conceived as mere textbook examples without much practical applicability: in practice more sophisticated algorithms w...
102
Voted
FIMI
15 years 1 months ago
2004 
: For a transaction database, a frequent itemset is an itemset included in at least a specified number of transactions. A frequent itemset P is maximal if P is included in no other...
97
Voted
FIMI
15 years 1 months ago
2004 
Frequency mining problem comprises the core of several data mining algorithms. Among frequent pattern discovery algorithms, FP-GROWTH employs a unique search strategy using compac...
102
Voted
FIMI
15 years 1 months ago
2004 
Frequent itemset mining (FIM) is an essential part of association rules mining. Its application for other data mining tasks has also been recognized. It has been an active researc...
|
Data Mining