Advances in Data Science and Computing Technology

Methodology and Applications

Suman Ghosal, Amitava Choudhury, Vikram Kumar Saxena, Arindam Biswas, Prasenjit Chatterjee, Suman Ghosal, Amitava Choudhury, Vikram Kumar Saxena, Arindam Biswas, Prasenjit Chatterjee

• Publisher: Apple Academic Press
• Year: 2022
• eBook ISBN: 9781000565430
• Topic: Computer Science
• Subtopic: Data Mining
• Index: Computer Science

This volume helps to address the genuine 21st century need for advances in data science and computing technology. It provides an abundance of new research and studies on progressive and innovative technologies, including artificial intelligence, communication systems, cyber security applications, data analytics, Internet of Things (IoT), machine learning, power systems, VLSI, embedded systems, and much more. The book presents a variety of interesting and important aspects of data science and computing technologies and methodologies in a wide range of applications, including deep learning, DNA cryptography, classy fuzzy MPPT controller, driving assistance, and safety systems. Novel algorithms and their applications for solving cutting-edge computational and data science problems are included also for an interdisciplinary research perspective.

The book addresses recent applications of deep learning and ANN paradigms, the role and impact of big data in the e-commerce and retail sectors, algorithms for load balancing in cloud computing, advances in embedded system based applications, optimization techniques using a MATLAB platform, and techniques for improving information and network security.

Advances in Data Science and Computing Technology: Methodology and Applications provides a wealth of valuable information and food for thought on many important issues for data scientists and researchers, industry professionals, and faculty and students in the data and computing sciences.

Table of contents

• Cover Page
• Half Title page
• Title Page
• Copyright Page
• Series Page
• About the Editors
• Table of Contents
• Contributors
• Abbreviations
• Preface
• Part I: Recent Application of Deep Learning and ANN Paradigm
• Part II Role and Impact of Big Data in E-Commerce and the Retail Sector
• Part III Algorithm for Load Balancing in Cloud Computing
• Part IV Advances in Embedded System-Based Applications
• Part V Optimization Technique Using MATLAB Platform
• Part VI Technique for Improving Information and Network Security
• Part VII Miscellaneous Topics in Computing
• Index