[PDF] Top 20 Frequent closed itemsets based condensed representations for association rules
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Frequent closed itemsets based condensed representations for association rules
... tion rules are generated. Moreover, the analyze of these rules shows that most often several rules were generated from the same objects and con- tain similar ...these rules can summarize all ... Voir le document complet
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Discovering frequent closed itemsets for association rules
... of frequent closed itemsets, we can also directly generate a reduced set of association rules without having to determine all frequent item- sets, thus lowering the algorithm ... Voir le document complet
20
Closed sets based discovery of small covers for association rules (extended version)
... of rules with high confidence. We propose new algorithms based on Galois closed sets to reduce the extraction to small covers (or bases) for exact and approximate rules, adapted from ... Voir le document complet
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Closed sets based discovery of small covers for association rules
... operator, frequent losed itemsets, bases for asso iation rules, ...addressed for the last years, spe ially the problem of dis overing asso iation ...iation rules is to exhibit ... Voir le document complet
22
Pruning closed itemset lattices for association rules
... Close, for mining association rules in large ...is based on the pruning of the closed itemset lattice, unlike existing algorithms that are all based on the pruning of the itemset ... Voir le document complet
21
Mining bases for association rules using closed sets
... Introduction Association rules are conditional implications between frequent ...discovered association rules is re- lated to the huge number of rules extracted and the presence ... Voir le document complet
2
A Fuzzy Close Algorithm for Mining Fuzzy Association Rules
... are closed, then the data is likely to be weakly correlated and another algorithm may perform ...of closed 1-itemsets is low, the data is likely to be highly correlated and our algorithm will then ... Voir le document complet
12
Mining association rules using formal concept analysis
... potential frequent itemsets is exponential in the size of the set of items and several database passes are ...algorithms for extra ting frequent itemsets and algorithms for extra ... Voir le document complet
7
GenMiner: mining informative association rules from genomic data
... a frequent closed itemset if no other item i ∈ X is common to all objects containing ...quent closed itemsets X are minimal (by inclusion) itemsets which closure is ...The ... Voir le document complet
9
A fast compound algorithm for mining generators, closed itemsets, and computing links between equivalence classes
... and association discovery [1] in data mining (DM) are aimed at pinpointing the most frequent patterns of items , or itemsets , and the strongest associations between items that are hidden in a large ... Voir le document complet
26
A Method based on Association Rules to Construct Product Line Model
... whole association rule mining process is the generation of frequent itemsets (in this part an itemset is considered as feature ...and rules have to be explored which can be a very ... Voir le document complet
5
Mining minimal non-redundant association rules using frequent closed itemsets
... ount for hara terizing the redundant asso iation ...ation rules (fun - tional dependan ies), su h as the denition of the anoni al over [BB79,Mai80℄, the notion of non-redundan y onsidered is related to the ... Voir le document complet
16
Mining association rules using frequent closed itemsets
... Extracted Association Rules For many datasets, a huge number of association rules is extracted, even for high minsupport and minconfidence ...data, for which several ... Voir le document complet
7
Generating a condensed representation for association rules
... iation rules extra ted from ontext D for minsupp = 2/6 and min onf = 2/5 are given in gure 7 and 8 respe tively ...a frequent itemset l that is a subset of the maximal frequent itemset ... Voir le document complet
32
Exploiting association rules and ontology for semantic document indexing
... Keywords Information retrieval, Conceptual indexing, Association rules, WordNet . 1 Introduction Information retrieval (IR) is concerned with selecting, from a collection of documents, those that are likely ... Voir le document complet
10
Interestingness Measures for Association Rules in a KDD Process : PostProcessing of Rules with ARQAT Tool
... about association rules, which are frequently used in data ...mining. Association rules, which are implicative tendencies in data, have the advantage to be an unsupervised ...of rules - ... Voir le document complet
140
HASAR : mining sequential association rules for atherosclerosis risk factor analysis
... table was used in order to split the patient set into the CVD and NCVD classes. Discus- sions with medical experts allowed us to identify some guidelines for building tables and to understand which initial ... Voir le document complet
13
MultiCons: Multiple Consensus Clustering Method Using Frequent Closed Pattern Mining
... clustering; Frequent closed patterns; ...model for clustering the ...considered. For example, density-based methods do not require K, but instead require other parameters to define what ... Voir le document complet
20
Formal rules for reliable component-based architecture evolution
... of rules to evolve software architectures. These rules defined as a B formal model of our three-level Dedal Adl that covers the whole lifecycle of software ...evolution rules are checked and ... Voir le document complet
17
Post-Processing of Discovered Association Rules Using Ontologies
... Abstract In Data Mining, the usefulness of association rules is strongly limited by the huge amount of delivered rules. In this paper we propose a new approach to prune and filter discovered ... Voir le document complet
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