This series will include reference books and handbooks that will provide the conceptual and advanced reference materials that cover building and promoting the field of Big Data and Machine Learning which will include theoretical foundations, algorithms and models, evaluation and experiments, applications and systems, case studies, and applied analytics in specific domains or on specific issues.
If you are interested in writing or editing a book for the series or would like more information, please contact Cindy Carelli, [email protected].
Edited
By Rajat Gera, Djamchid Assadi, Marzena Starnawska
December 29, 2023
This book covers big data, machine learning, and artificial intelligence-related technologies and how these technologies can enable the design, development, and delivery of customer-focused financial services to both corporate and retail customers, as well as how to extend the benefits to the ...
By Dolly Sharma, Shailendra Singh, Mamta Mittal
September 25, 2023
This book offers a unique balance between a basic introductory knowledge of bioinformatics and a detailed study of algorithmic techniques. Bioinformatics and RNA: A Practice-Based Approach is a complete guide on the fundamental concepts, applications, algorithms, protocols, new trends, challenges, ...
Edited
By Sheetal S. Zalte-Gaikwad, Indranath Chatterjee, Rajanish K. Kamat
November 21, 2022
The idea behind this book is to simplify the journey of aspiring readers and researchers to understand the convergence of Big Data with the Cloud. This book presents the latest information on the adaptation and implementation of Big Data technologies in various cloud domains and Industry 4.0. ...
Edited
By Satya Ranjan Dash, Shantipriya Parida, Esaú Villatoro Tello, Biswaranjan Acharya, Ondřej Bojar
September 13, 2022
Natural Language Processing In Healthcare: A Special Focus on Low Resource Languages covers the theoretical and practical aspects as well as ethical and social implications of NLP in healthcare. It showcases the latest research and developments contributing to the rising awareness and importance of...
Edited
By Abhishek Kumar, Ashutosh Kumar Dubey, Sreenatha G. Anavatti, Pramod Singh Rathore
March 10, 2022
In the last two decades, machine learning has developed dramatically and is still experiencing a fast and everlasting change in paradigms, methodology, applications and other aspects. This book offers a compendium of current and emerging machine learning paradigms in healthcare informatics and ...
Edited
By R. Indrakumari, R.Lakshmana Kumar, Balamurugan Balusamy, Vijanth Sagayan Asirvadam
December 23, 2021
Convergence of Blockchain, AI, and IoT: Concepts and Challenges discusses the convergence of three powerful technologies that play into the digital revolution and blur the lines between biological, digital, and physical objects. This book covers novel algorithms, solutions for addressing issues in ...
Edited
By R. Lakshmana Kumar, R. Indrakumari, B. Balamurugan, Achyut Shankar
December 24, 2021
Exploratory data analysis helps to recognize natural patterns hidden in the data. This book describes the tools for hypothesis generation by visualizing data through graphical representation and provides insight into advanced analytics concepts in an easy way. The book addresses the complete data...
Edited
By Geeta Rana, Alex Khang, Ravindra Sharma, Alok Kumar Goel, Ashok Kumar Dubey
December 15, 2021
This edited book describes how newly emerging Artificial Intelligence (AI) technologies will provide unprecedented opportunities to penetrate technology and automation into everything we do, and at the same time, provide a huge playing field for businesses to develop newer models to capture market ...
Edited
By Lalit Mohan Goyal, Tanzila Saba, Amjad Rehman, Souad Larabi-Marie-Sainte
August 26, 2021
This book reveals the applications of AI and IoT in smart healthcare and medical systems. It provides core principles, algorithms, protocols, emerging trends, security problems, and the latest e-healthcare services findings.The book also provides case studies and discusses how AI and IoT ...