Neutrosophic association rule mining algorithm for big data analysis
M Abdel-Basset, M Mohamed, F Smarandache… - Symmetry, 2018 - mdpi.com
Big Data is a large-sized and complex dataset, which cannot be managed using traditional
data processing tools. Mining process of big data is the ability to extract valuable information …
data processing tools. Mining process of big data is the ability to extract valuable information …
[PDF][PDF] Research on association rule mining
SK Ziauddin, KZ Khan, MI Khan - Advances in Computational …, 2012 - researchgate.net
Association Rule Mining is one of the important areas of research, receiving increasing
attention. It is an essential part of Knowledge Discovery in Databases (KDD). The scope of …
attention. It is an essential part of Knowledge Discovery in Databases (KDD). The scope of …
Fuzzy Correlated Association Mining: Selecting altered associations among the genes, and some possible marker genes mediating certain cancers
Association mining is a well explored topic applied to various fields. In this article, the
associations among the genes have been identified from microarray gene expression data …
associations among the genes have been identified from microarray gene expression data …
Recent trends in human computer interface to analysis the cognitive skill of students based on user interface
M Mayilvaganan, D Kalpanadevi - 2017 4th International …, 2017 - ieeexplore.ieee.org
In this research work, focuses the cognitive skill of knowledge by the category of logical
Reasoning, Numerical Ability and Perceptual Speed of ability can be analyzed by GOMS …
Reasoning, Numerical Ability and Perceptual Speed of ability can be analyzed by GOMS …
[PDF][PDF] A combined approach for mining fuzzy frequent itemset
R Prabamanieswari - International Journal of Computer Applications, 2013 - Citeseer
ABSTRACT Frequent Itemset Mining is an important approach for Market Basket Analysis.
Earlier, the frequent itemsets are determined based on the customer transactions of binary …
Earlier, the frequent itemsets are determined based on the customer transactions of binary …
Analysis of the progressive sampling-based approach using real life datasets
V Umarani, M Punithavalli - Open Computer Science, 2011 - degruyter.com
The discovery of association rules is an important and challenging data mining task. Most of
the existing algorithms for finding association rules require multiple passes over the entire …
the existing algorithms for finding association rules require multiple passes over the entire …
Mining frequent fuzzy itemsets using node-list
Data mining plays an important in knowledge discovery in databases; many types of
knowledge and technology have been proposed for data mining. Among them, association …
knowledge and technology have been proposed for data mining. Among them, association …
Development of a fuzzy entropy based method for detecting altered gene–gene interactions in carcinogenic state
In this article, we propose a methodology for identifying the interactions among the genes in
terms of dependencies (named as gene–gene interaction) that have altered quite …
terms of dependencies (named as gene–gene interaction) that have altered quite …
[PDF][PDF] Analytical study of association rule mining methods in data mining,"
In data processing, the foremost common and effective technique is to spot frequent pattern
victimization association rule mining. There are such a large amount of algorithms that …
victimization association rule mining. There are such a large amount of algorithms that …
[PDF][PDF] FUZZY ASSOCIATION RULE MINING FOR STUDENT PERFORMANCE EVALUATION
SV Parmar, LK Sharma - academia.edu
Association rule mining in a student performance data is an important research area. This
provide support unity to deal with the uncertainty of data. The fuzzy association rule mining …
provide support unity to deal with the uncertainty of data. The fuzzy association rule mining …