An intelligent feature selection approach with systolic tree structures for efficient association rules in big data environment

YB Abushark - Computers and Electrical Engineering, 2022 - Elsevier
Abstract Frequent Pattern Mining (FPM) is regularly used in data mining applications for
identifying objects of interest that frequent transactional databases. Traditional ARM …

A multi-optimization technique for improvement of Hadoop performance with a dynamic job execution method based on artificial neural network

R Alanazi, F Alhazmi, H Chung, Y Nah - SN Computer Science, 2020 - Springer
The improvement of Hadoop performance has received considerable attention from
researchers in cloud computing fields. Most studies have focused on improving the …

Efficient Apriori algorithm using enhanced transaction reduction approach

JRD Arcos, AA Hernandez - 2019 IEEE 13th International …, 2019 - ieeexplore.ieee.org
Apriori algorithm has fundamentally identified algorithm in association rule mining. The
principle key concept of this algorithm is to discover interesting recurrent patterns between …

Binary image description using frequent itemsets

K Aznag, T Datsi, A El Oirrak, E El Bachari - Journal of Big Data, 2020 - Springer
In this paper, a novel method for binary image comparison is presented. We suppose that
the image is a set of transactions and items. The proposed method applies along rows and …

Binary image description using frequent itemsets

A Khalid, D Toufik - Journal of Big Data, 2020 - search.proquest.com
In this paper, a novel method for binary image comparison is presented. We suppose that
the image is a set of transactions and items. The proposed method applies along rows and …

[引用][C] Enhancement of corrosion protection ability of epoxy by inclusion of metakaolin clay

T Fantaye - 2018 - ASTU