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When Large Language Models Meet Evolutionary Algorithms: Potential Enhancements and Challenges. [PDF]

Research (Wash D C)
Wang C, Zhao J, Jiao L, Li L, Liu F, Yang S.   +5 more
europepmc   +1 more source

SparkDWM: a scalable design of a Data Washing Machine using Apache Spark. [PDF]

Front Big Data
Hagan NKA, Talburt JR.
europepmc   +1 more source

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Real-time web-based International Flight Tickets Recommendation System via Apache Spark

IEEE International Conference on Information Reuse and Integration, 2023
Traveling by airplane has become more popular with advanced technology. The tickets can be booked effortlessly via airlines corporation’s online platforms.
Malek Malkawi, R. Alhajj
semanticscholar   +1 more source

Towards a Protein-Protein Interactions Framework using Graph Analytics on Apache Spark

2023 4th International Conference on Computing, Mathematics and Engineering Technologies (iCoMET), 2023
The field of data science has facilitated the extraction of information from organized and unstructured data. It utilizes several approaches, algorithms, and processes to evaluate complex data effectively.
Hina Umbrin, M. Aamir, Javed Ferzund, H. Tahir, R. Latif   +4 more
semanticscholar   +1 more source

Towards Verified Scalable Parallel Computing with Coq and Spark

FTfJP@ECOOP, 2023
SyDPaCC (Systematic Development of programs for Parallel and Cloud Computing) is a framework for the Coq interactive theorem prover. It allows to systematically develop correct parallel programs from specifications via verified and automated program ...
F. Loulergue, Jolan Philippe
semanticscholar   +1 more source

Novel Study of Machine Learning Algorithms with Supervised Learning Approach to Solve Real Time Big Data Applications Using Hadoop and Spark

Social Science Research Network, 2021
This review focuses on different machine learning algorithms, descriptions, pros and cons of the algorithms. It also includes task of machine learning and supervised learning process, tools, techniques and programming language to build machine learning ...
T. Krishna, Endalew Alamir
semanticscholar   +1 more source

From Ada to Platinum SPARK

ACM SIGAda Ada Letters, 2021
An effective approach to learning a new programming language is to implement data structures common to computer programming. The approach is effective because the problem to be solved is well understood, allowing one to focus on the language details ...
P. Rogers
semanticscholar   +1 more source

A Study of Big Data Analytics using Apache Spark with Python and Scala

International Conferences on Information Science and System, 2020
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 variety.
Y. Gupta, Surbhi Kumari
semanticscholar   +1 more source

Translation of Array-Based Loops to Spark SQL

2020 IEEE International Conference on Big Data (Big Data), 2020
Many programs written to analyze data are expressed in terms of array operations in an imperative programming language with loops. However, for data analysts who need to analyze vast volumes of data, large-scale data-intensive processing is becoming a ...
Md Hasanuzzaman Noor, L. Fegaras
semanticscholar   +1 more source

Performance evaluation of Apache Hadoop and Apache Spark for parallelization of compute-intensive tasks

International Conference on Information Integration and Web-based Applications & Services, 2020
There have been numerous studies that have examined the performance of distribution frameworks. Most of these studies deal with the processing of large amounts of data.
Alexander Döschl, Max-Emanuel Keller, P. Mandl   +2 more
semanticscholar   +1 more source