Editors: Biswadip Basu Mallik, Kirti Verma, Rahul Kar, Ashok Kumar Shaw, Sardar M. N. Islam (Naz)

Advanced Mathematical Applications in Data Science

eBook: US $59 Special Offer (PDF + Printed Copy): US $101
Printed Copy: US $71
Library License: US $236
ISBN: 978-981-5124-85-9 (Print)
ISBN: 978-981-5124-84-2 (Online)
Year of Publication: 2023
DOI: 10.2174/97898151248421230101

Introduction

Advanced Mathematical Applications in Data Science comprehensively explores the crucial role mathematics plays in the field of data science. Each chapter is contributed by scientists, researchers, and academicians. The 13 chapters cover a range of mathematical concepts utilized in data science, enabling readers to understand the intricate connection between mathematics and data analysis. The book covers diverse topics, including, machine learning models, the Kalman filter, data modeling, artificial neural networks, clustering techniques, and more, showcasing the application of advanced mathematical tools for effective data processing and analysis. With a strong emphasis on real-world applications, the book offers a deeper understanding of the foundational principles behind data analysis and its numerous interdisciplinary applications. This reference is an invaluable resource for graduate students, researchers, academicians, and learners pursuing a research career in mathematical computing or completing advanced data science courses.

Key features:

  • - Comprehensive coverage of advanced mathematical concepts and techniques in data science
  • - Contributions from established scientists, researchers, and academicians
  • - Real-world case studies and practical applications of mathematical methods
  • - Focus on diverse areas, such as image classification, carbon emission assessment, customer churn prediction, and healthcare data analysis
  • - In-depth exploration of data science's connection with mathematics, computer science, and artificial intelligence
  • - Scholarly references for each chapter
  • - Suitable for readers with high school-level mathematical knowledge, making it accessible to a broad audience in academia and industry.

Foreword

- Pp. i
S.B. Goyal
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Preface

- Pp. ii
Biswadip Basu Mallik, Kirti Verma, Rahul Kar, Ashok Kumar Shaw, Sardar M. N. Islam (Naz)
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List of Contributors

- Pp. iii-iv (2)

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The Role of Mathematics in Data Science: Methods, Algorithms, and Computer Programs

- Pp. 1-23 (23)
Rashmi Singh*, Neha Bhardwaj, Sardar M. N. Islam (Naz)

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Kalman Filter: Data Modelling and Prediction

- Pp. 24-50 (27)
Arnob Sarkar, Meetu Luthra*

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The Role of Mathematics and Statistics in the Field of Data Science and its Application

- Pp. 51-67 (17)
Sathiyapriya Murali*, Priya Panneer

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Bag of Visual Words Model - A Mathematical Approach

- Pp. 68-79 (12)
Maheswari*

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A Glance Review on Data Science and its Teaching: Challenges and Solutions

- Pp. 80-91 (12)
Srinivasa Rao Gundu, Charanarur Panem*, J. Vijaylaxmi

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Optimization of Various Costs in Inventory Management using Neural Networks

- Pp. 92-104 (13)
Prerna Sharma*, Bhim Singh

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Cyber Security in Data Science and its Applications

- Pp. 105-115 (11)
M. Varalakshmi*, I. P. Thulasi

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Artificial Neural Networks for Data Processing: A Case Study of Image Classification

- Pp. 116-127 (12)
Jayaraj Ramasamy*, R. N. Ravikumar, S. Shitharth

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Carbon Emission Assessment by Applying Clustering Technique to World’s Emission Datasets

- Pp. 128-143 (16)
Nitin Jaglal Untwal*

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A Machine Learning Application to Predict Customer Churn: A Case in Indonesian Telecommunication Company

- Pp. 144-161 (18)
Agus Tri Wibowo, Andi Chaerunisa Utami Putri, Muhammad Reza Tribosnia, Revalda Putawara, M. Mujiya Ulkhaq*

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A State-Wise Assessment of Greenhouse Gases Emission in India by Applying K-mean Clustering Technique

- Pp. 162-176 (15)
Nitin Jaglal Untwal*

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Data Mining Techniques: New Avenues for Heart Disease Prediction

- Pp. 177-185 (9)
Soma Das*

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Data Science and Healthcare

- Pp. 186-200 (15)
Armel Djangone*

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Subject Index

- Pp. 201-205 (5)
Biswadip Basu Mallik, Kirti Verma, Rahul Kar, Ashok Kumar Shaw, Sardar M. N. Islam (Naz)
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