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 $94
Printed Copy: US $65
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


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.


The title of our book is Advanced Mathematical Applications in Data Science. The book is dealing specially Data Analysis – Mining and analysis of Big Data, Mathematical modelling in Data science, Mathematical Algorithms for Artificial Intelligence and Big Data, using MATLAB with Big Data from sensors and IOT devices, the relationship between Big data and Mathematical modelling, Big IOT Data analytics, Architecture, opportunities and open research challenges, the role of Mathematics in Data science, linear regression, logistic regression, Neural networks, Decision tree, applications of linear algebra in Data science, Big Data and Big Data analytics, concepts, types and techniques, foundation of Data science, fifty year of Data sciences, Health Bank – a world health for Data science applications in Healthcare, Radio frequency identification, a new opportunity for Data science, towards a system building agenda for data, semantic representation of Data science properly, a review on Data science techniques, Big Data: the next era of Information and Data science in medical imaging, Data science and healthcare, soft computing in Data science, foundation for private, fair and robust Data science, Data science fundamental principles, practical Data sciences for Actuarial task etc.

The scope of this book is not only limited to above highlighted areas but much more than that. Today as all of us are aware that most of the decision making and marketing strategies are data driven. So the research in this field is very much important and useful for any kind of day to day decision making and for marketing strategies etc. Finally we would thank the Bentham Science publishing house for giving us an opportunity to explore this field.

Biswadip Basu Mallik
Department of Basic Science & Humanities
Institute of Engineering & Management
Kolkata, West Bengal

Kirti Verma
Department of Engineering Mathematics
Lakshmi Narain College of Technology
Jabalpur Madhya Pradesh

Rahul Kar
Department of Mathematics
Kalyani Mahavidyalaya, Kalyani
West Bengal, India

Ashok Kumar Shaw
Department of Basic Sciences and Humanities
Budge Budge Institute of Technology, Budge Budge
Kolkata, West Bengal


Sardar M. N. Islam (Naz)
ISILC, Victoria University
Melbourne, Australia