A genetic algorithm based multilevel association rules mining for big datasets
Multilevel association rules mining is an important domain to discover interesting relations
between data elements with multiple levels abstractions. Most of the existing algorithms …
between data elements with multiple levels abstractions. Most of the existing algorithms …
THE MFFP‐TREE FUZZY MINING ALGORITHM TO DISCOVER COMPLETE LINGUISTIC FREQUENT ITEMSETS
TP Hong, CW Lin, TC Lin - Computational Intelligence, 2014 - Wiley Online Library
Recently, mining useful information and knowledge from transactions is evolving into an
important research issue. Many algorithms have thus been proposed for mining association …
important research issue. Many algorithms have thus been proposed for mining association …
Exploring similarity relations according to different contexts in mining generalized association rules
RMJ Ayres, MTP Santos - … Conference, ICEIS 2012, Wroclaw, Poland, June …, 2013 - Springer
Taxonomies are used in different steps of the mining process, but in the generalization they
are mainly used during the pre-processing. In the same way, in fuzzy contexts fuzzy …
are mainly used during the pre-processing. In the same way, in fuzzy contexts fuzzy …
[PDF][PDF] An Integrated MFFP-tree Algorithm for Mining Global Fuzzy Rules from Distributed Databases.
CW Lin, TP Hong, YF Chen, TC Lin… - J. Univers. Comput …, 2013 - pdfs.semanticscholar.org
In the past, many algorithms have been proposed for mining association rules from binary
databases. Transactions with quantitative values are, however, also commonly seen in real …
databases. Transactions with quantitative values are, however, also commonly seen in real …
Mining generalized association rules using fuzzy ontologies with context-based similarity
RMJ Ayres, MTP Santos - International Conference on Enterprise …, 2012 - scitepress.org
In crisp contexts taxonomies are used in different steps of the mining process. When the
objective is the generalization they are used, manly, in the pre-processing or post …
objective is the generalization they are used, manly, in the pre-processing or post …
Maintenance algorithm for updating the discovered multiple fuzzy frequent itemsets for transaction deletion
Fuzzy set theory was adopted to induce natural and understandable linguistic rules from the
transactions with quantitative values. In the past, many algorithms were proposed to mine …
transactions with quantitative values. In the past, many algorithms were proposed to mine …
[PDF][PDF] Introduction to Multilevel Association Rule and Its Methods
JJ Shah, LP Gagnani - 2015 - academia.edu
Association rule mining is a popular and well researched method for discovering interesting
relations between variables in large databases. In this paper we introduce the concept of …
relations between variables in large databases. In this paper we introduce the concept of …
[PDF][PDF] Mining Generalized Association Rules using Fuzzy Ontologies with Context-based Similarity
RMJAM Terezinha, P Santos - turing.pro.br
In crisp contexts taxonomies are used in different steps of the mining process. When the
objective is the generalization they are used, manly, in the pre-processing or post …
objective is the generalization they are used, manly, in the pre-processing or post …
Exploring fuzzy ontologies in mining generalized association rules
The most common use of fuzzy taxonomies in mining generalized association rules occurs
in the pre-processing stage, through the concept of extended transaction. A related problem …
in the pre-processing stage, through the concept of extended transaction. A related problem …
[引用][C] Analyzing Strengths and Weaknesses of Fuzzy Association Rules Algorithms
J Casillas, D Moreno - Universidad de Granada: Granada, Spain, 2011