Results 241 to 250 of about 5,285 (267)

Mining Weighted Generalized Fuzzy Association Rules with Fuzzy Taxonomies

2005
This paper proposes the problem of mining weighted generalized fuzzy association rules with fuzzy taxonomies (WGF-ARs). It is an extension of the generalized fuzzy association rules with fuzzy taxonomies problem. In order to reflect the importance of different items, the notion of generalized weights is introduced, and leaf-node items and ancestor ...
Bin Shen 0001, Min Yao, Yuan Bo
openaire   +1 more source

Mining changes in association rules: a fuzzy approach

Fuzzy Sets and Systems, 2005
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Wai-Ho Au, Keith C. C. Chan
openaire   +2 more sources

Fuzzy Association Rules Mining Using Spark

2018
Discovering new trends and co-occurrences in massive data is a key step when analysing social media, data coming from sensors, etc. Traditional Data Mining techniques are not able, in many occasions, to handle such amount of data. For this reason, some approaches have arisen in the last decade to develop parallel and distributed versions of previously ...
Carlos Fernandez-Basso, M. Dolores Ruiz, María J. Martín-Bautista   +2 more
openaire   +1 more source

Online Mining of Weighted Fuzzy Association Rules

2003
Mining useful information and helpful knowledge from data transactions is evolving as an important research area. Current online techniques for mining association rules identify the relationship among transactions using binary values. However, transactions with quantitative values are commonly encountered in real-life applications.
Mehmet Kaya, Reda Alhajj
openaire   +1 more source

Efficient Automated Mining of Fuzzy Association Rules

2010
Mining association rules is one of the important research problems in data mining. So, many algorithms have been proposed to find association rules in databases with either binary or quantitative attributes. One of these approaches is fuzzy association rules mining.
Mehmet Kaya, Reda Alhajj, Faruk Polat, Ahmet Arslan 0001   +3 more
openaire   +1 more source

Fuzzy Association Rules on Data with Undefined Values

2018
Handling of missing values is a very common in data processing. However, data values may be missing not only because of lack of information, but also because of undefinedness (such as asking for the age of non-married person’s spouse). The aim of this paper is to propose an extension of fuzzy association rules framework for data with undefined values.
Petra Murinová, Viktor Pavliska, Michal Burda   +2 more
openaire   +1 more source

A fuzzy approach for mining quantitative association rules

Acta Cybern., 2001
Summary: During the last ten years, data mining, also known as knowledge discovery in databases, has established its position as a prominent and important research area. Mining association rules is one of the important research problems in data mining.
openaire   +2 more sources

Effect of rule weights in fuzzy rule-based classification systems

IEEE Transactions on Fuzzy Systems, 2001
Hisao Ishibuchi
exaly  

Rule weight specification in fuzzy rule-based classification systems

IEEE Transactions on Fuzzy Systems, 2005
Hisao Ishibuchi
exaly  

A Fuzzy Association Rule-Based Classification Model for High-Dimensional Problems With Genetic Rule Selection and Lateral Tuning

IEEE Transactions on Fuzzy Systems, 2011
Jesus Alcalá-Fdez, Rafael Alcalà, FRANCISCO Herrera   +2 more
exaly