[PDF][PDF] Predicting potential banking customer churn using apache spark ML and MLlib packages: a comparative study
This study was conducted based on an assumption that Spark ML package has much better
performance and accuracy than Spark MLlib package in dealing with big data. The used …
performance and accuracy than Spark MLlib package in dealing with big data. The used …
A study of big data analytics using apache spark with Python and Scala
YK Gupta, S Kumari - 2020 3rd International Conference on …, 2020 - ieeexplore.ieee.org
Data is generated by humans every day via various sources such as Instagram, Facebook,
Twitter, Google, etc at a rate of 2.5 quintillion bytes with high volume, high speed and high …
Twitter, Google, etc at a rate of 2.5 quintillion bytes with high volume, high speed and high …
SMBSP: a self-tuning approach using machine learning to improve performance of spark in big data processing
Apache Spark, popularly known for big data processing capability, is a distributed open-
source platform that uses the concept of distributed memory to facilitate big data processing …
source platform that uses the concept of distributed memory to facilitate big data processing …
Dynamic Distributed and Parallel Machine Learning algorithms for big data mining processing
L Djafri - Data Technologies and Applications, 2022 - emerald.com
Purpose This work can be used as a building block in other settings such as GPU, Map-
Reduce, Spark or any other. Also, DDPML can be deployed on other distributed systems …
Reduce, Spark or any other. Also, DDPML can be deployed on other distributed systems …
Real-time web-based International Flight Tickets Recommendation System via Apache Spark
M Malkawi, R Alhajj - … on Information Reuse and Integration for …, 2023 - ieeexplore.ieee.org
Traveling by airplane has become more popular with advanced technology. The tickets can
be booked effortlessly via airlines corporation's online platforms. However, recommending …
be booked effortlessly via airlines corporation's online platforms. However, recommending …
Performance evaluation of Spark SQL for batch processing
K Anusha, K Usha Rani - … Research in Data Engineering Systems and …, 2020 - Springer
Now-a-days, large amount of data is being generated at various organizations. In many
organizations, there is an inefficiency of handling Big Data with higher volumes, velocity …
organizations, there is an inefficiency of handling Big Data with higher volumes, velocity …
[PDF][PDF] A smart method for spark using neural network for big data
MA Rahman, J Hossen, A Sultana… - International Journal of …, 2021 - academia.edu
Apache spark, famously known for big data handling ability, is a distributed open-source
framework that utilizes the idea of distributed memory to process big data. As the …
framework that utilizes the idea of distributed memory to process big data. As the …
A study of chronic diseases by using apache pig framework
S Choudhary, YK Gupta - AIP Conference Proceedings, 2023 - pubs.aip.org
Data is growing at a breakneck speed these days. Every day, new data is generated from a
variety of sources, including Facebook, Instagram, Twitter, e-commerce sites, and many …
variety of sources, including Facebook, Instagram, Twitter, e-commerce sites, and many …
Enhancement of video streaming analysis using cluster-computing framework
J Arthanari, R Baskaran - Cluster Computing, 2019 - Springer
Video content analysis is an emerging technique to easily redact video footage for public
disclosure and to identify events and objects in surveillance cameras. The proficiency of this …
disclosure and to identify events and objects in surveillance cameras. The proficiency of this …
DNA barcoding using particle swarm optimization on apache spark SQL case study: DNA of covid-19
The objective of this research is to design and implement a computational model to
determine DNA barcodes by utilizing the Particle Swarm Optimization (PSO) algorithms …
determine DNA barcodes by utilizing the Particle Swarm Optimization (PSO) algorithms …