Review on Data Science and Prediction

The exponential growth of data over the years has brought into focus the increasingly-important task of managing all of it. This need has been driven by advancements in technology that have created large increases in data volume. Due to the societal importance of many newly-developed forms of techno...

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Bibliographic Details
Published in2021 2nd International Conference on Computing and Data Science (CDS) pp. 548 - 555
Main Authors Alazeb, Abdulwahab, Alshehri, Mohammed, Almakdi, Sultan
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.01.2021
Subjects
Big Data
Data Prediction
Data science
Decision making
Internet
IoT
Medical services
Social sciences
Technology management
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Summary:The exponential growth of data over the years has brought into focus the increasingly-important task of managing all of it. This need has been driven by advancements in technology that have created large increases in data volume. Due to the societal importance of many newly-developed forms of technology, management of data is no longer just a matter of storage, but security and availability as well. In the business world, the management of data affects the delivery of services and overall productivity. This paper seeks to explain the different aspects of data science related to modern needs and future significance. Data science is explored in detail with emphasis on the background, history, and concepts of data management. Various sources from existing literature and academia are thoroughly discussed regarding the growing importance of data management and techniques involved. An evaluation of these techniques is also presented.
DOI:10.1109/CDS52072.2021.00100