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 …

[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 …

Fuzzy Correlated Association Mining: Selecting altered associations among the genes, and some possible marker genes mediating certain cancers

A Ghosh, RK De - Applied Soft Computing, 2016 - Elsevier
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 …

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 …

[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 …

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 …

Mining frequent fuzzy itemsets using node-list

TTT Tran, GL Nguyen, CN Truong… - … Systems Design and …, 2018 - Springer
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 …

Development of a fuzzy entropy based method for detecting altered gene–gene interactions in carcinogenic state

A Ghosh, RK De - Journal of Intelligent & Fuzzy Systems, 2014 - content.iospress.com
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 …

[PDF][PDF] Analytical study of association rule mining methods in data mining,"

BM Patel, VH Bhemwala, AR Patel - 2018 - researchgate.net
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 …

[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 …