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FIMI
2004
123views Data Mining» more  FIMI 2004»
13 years 6 months ago
Surprising Results of Trie-based FIM Algorithms
Trie is a popular data structure in frequent itemset mining (FIM) algorithms. It is memory-efficient, and allows fast construction and information retrieval. Many trie-related tec...
Ferenc Bodon
FIMI
2004
212views Data Mining» more  FIMI 2004»
13 years 6 months ago
A Space Optimization for FP-Growth
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...
Eray Özkural, Cevdet Aykanat
FIMI
2004
268views Data Mining» more  FIMI 2004»
13 years 6 months ago
Algorithmic Features of Eclat
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...
Lars Schmidt-Thieme
FIMI
2004
239views Data Mining» more  FIMI 2004»
13 years 6 months ago
LCM ver. 2: Efficient Mining Algorithms for Frequent/Closed/Maximal Itemsets
: 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...
Takeaki Uno, Masashi Kiyomi, Hiroki Arimura
FIMI
2004
279views Data Mining» more  FIMI 2004»
13 years 6 months ago
DCI Closed: A Fast and Memory Efficient Algorithm to Mine Frequent Closed Itemsets
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 ...
Claudio Lucchese, Salvatore Orlando, Raffaele Pere...