Using BTA Algorithm for finding Nash equilibrium problem aiming the extraction of rules in rule learning

M Boudaghi, F Mahan, A Isazadeh - Soft Computing, 2022 - Springer
It is crystal clear that discovering the rules for finding a specific pattern among given data for
extraction of association rules in rule-based learning systems has been defined in previous …

Association rule modeling using uml and apriori algorithm

M Angulakshmi, M Deepa, S Sudha… - … on Emerging Trends …, 2020 - ieeexplore.ieee.org
The categorical relationships play a crucial role for choosing of computer database. Based
on it, association rules display the link among the 2 categories. Because the object oriented …

[PDF][PDF] Review On Rare Itemset Mining

SZ Ninoria, SS Thakur - International Journal of Computer …, 2019 - researchgate.net
These Data mining is the procedure of analyzing unseen patterns of data according to
different point of view for classification into useful information, which is collected and …

Review on high utility rare itemset mining

SZ Ninoria, SS Thakur - Social Networking and Computational Intelligence …, 2020 - Springer
Today's era is an era of data. Hence, the most attentive field of research and study is to
collect and select the data rapidly as per the need nowadays. Data mining is the field which …

A Progressive Sampling based Approach to Reduce Sampling Time

N Bangera, N Kayarvizhy - 2019 4th International Conference …, 2019 - ieeexplore.ieee.org
Analytics plays vital role in Data Science. It involves finding trends and patterns from the
huge repository of data. Scanning huge amount of data consumes lot of time, which can be …

An efficient algorithm for mining high utility rare itemsets over uncertain databases

SZ Ninoria, SS Thakur - International Journal of Computer …, 2019 - papers.ssrn.com
In modern era, due to the broad applications of uncertain data, mining itemsets over
uncertain databases has paying much more attention. Association Rule Mining (ARM) is a …