DataInsight: Big Data Analytics Services

In today’s data-driven business landscape, the need for advanced analytics solutions is paramount for informed decision-making and sustainable growth. This paper introduces DataInsight Big Data Analytics Services, a comprehensive system tailored to meet the analytical demands of businesses, particularly in handling big data. DataInsight integrates front-end and back-end technologies, machine learning algorithms, and various data analytics techniques to provide business owners with actionable insights into the future of their enterprises. Our approach focuses on developing a robust system for business data analytics by carefully selecting algorithms that are capable of handling large-scale data and are highly beneficial for business applications. A significant contribution to this research is the improvement of Winnow algorithm and adding feature selection methods for more accurate results. Another contribution is the generation of experimental data to evaluate the performance of the core algorithms used in this system, demonstrating the effectiveness and versatility of the DataInsight system. Three big data analytics methods for Clustering, Association Rule Mining, and Classification, were examined through multiple tests to ensure their capabilities and their effectiveness.

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Publication Details

Published
2024-12-15
DOI
https://doi.org/10.1109/bigdata62323.2024.10824998
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
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DataInsight: Big Data Analytics Services

Saeed Samet, Helia Hedayati
Big Data and Business Intelligence
article

DataInsight: Big Data Analytics Services

Saeed Samet, Helia Hedayati
article en

Abstract

In today’s data-driven business landscape, the need for advanced analytics solutions is paramount for informed decision-making and sustainable growth. This paper introduces DataInsight Big Data Analytics Services, a comprehensive system tailored to meet the analytical demands of businesses, particularly in handling big data. DataInsight integrates front-end and back-end technologies, machine learning algorithms, and various data analytics techniques to provide business owners with actionable insights into the future of their enterprises. Our approach focuses on developing a robust system for business data analytics by carefully selecting algorithms that are capable of handling large-scale data and are highly beneficial for business applications. A significant contribution to this research is the improvement of Winnow algorithm and adding feature selection methods for more accurate results. Another contribution is the generation of experimental data to evaluate the performance of the core algorithms used in this system, demonstrating the effectiveness and versatility of the DataInsight system. Three big data analytics methods for Clustering, Association Rule Mining, and Classification, were examined through multiple tests to ensure their capabilities and their effectiveness.

University of Windsor (CA)
Openalex Percentile: Top 59%
Big Data and Business Intelligence
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