DAMLB2023: Data Analytics and Machine Learning - Navigating the Big Data Landscape |
| Submission link | https://easychair.org/conferences/?conf=damlb2023 |
| Abstract registration deadline | September 30, 2023 |
| Submission deadline | October 25, 2023 |
CALL FOR BOOK CHAPTERS
Book Title: Data Analytics and Machine Learning - Navigating the Big Data Landscape
In the contemporary landscape of emerging technologies, including Data Analytics (DA), the Machine Learning (ML), and Big Data, these innovations have woven themselves into the very fabric of our daily lives. As we witness the digital transformation of businesses, education, government initiatives, finance, healthcare, and various sectors, the reliance on these technologies has grown exponentially. We are pleased to announce a call for book chapters that explores the vital role of Data Analytics and Machine Learning within the expansive realm of Big Data. This book aims to illuminate the profound impact of these technologies on navigating vast datasets, enabling data-driven decision-making, and unveiling insights that empower organizations across industries. In the global marketplace, the fusion of Data Analytics and Machine Learning within the Big Data landscape is not just a technological trend but a strategic imperative. Businesses today are navigating a data-rich environment where insights gleaned from Big Data can be a game-changer. From personalized customer experiences to predictive maintenance in manufacturing, these technologies are reshaping industries and opening new avenues for growth. This book, " Data Analytics and Machine Learning - Navigating the Big Data Landscape," serves as a beacon for market leaders and aspiring entrepreneurs alike. By showcasing real-world applications and success stories, it provides a roadmap for leveraging data-driven strategies to gain a competitive edge. As the market evolves, those who harness the power of data analytics and machine learning will be at the forefront of innovation, offering products and services that resonate with the demands of a data-savvy customer base. Join us in this journey to explore the market dynamics and opportunities created by the convergence of these transformative technologies.
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Recommended Chapters:
Chapter 1- Introduction to Data Analytics, Big Data, and Machine Learning
Chapter 2- Fundamentals of Data Analytics and Lifecycle
Chapter 3- Building Predictive Models with Machine Learning
Chapter 4- Stream data model and architecture
Chapter 5- Leveraging Big Data for Data Analytics
Chapter 6- Advanced Techniques in Data Analytics
Chapter 7- Scalable Machine Learning with Big Data
Chapter 8- Big Data Analytics Framework using Machine Learning on Massive Datasets
Chapter 9- Deep-learning Techniques in Big-Data analytics
Chapter10- Data Privacy and Ethics in Data Analytics
Chapter 11- Practical Implementation of Machine Learning Techniques & data analytics using R
Chapter 12- Real-World Applications of Data Analytics, Big Data, and Machine Learning
Chapter 13- Implementing Data-Driven Innovation in Organizations
Chapter 14- Business Transformation using Big Data Analytics and Machine Learning
Chapter 15- Future Trends and Emerging Opportunities in Health Analytics
Chapter 16- Future Trends in Data Analytics and Machine Learning
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Guideline for Book Chapter Contributors and Authors: please visit the Book Manuscript Guidelines on springer.com.
Note: Kindly follows the Reference Style “MathPhysSc” Citation style “Numbered” and Numbering Style “ContentOnly”.
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Important Dates:
Abstract Submission: 30 September 2023
Preliminary Decision: 5 October 2023
Full Chapter Submission: 20 October 2023
Final Decision: 1 November 2023
Camera Ready Submission: 15 November 2023
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Published By: Springer Nature
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Indexed By: Scopus
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No Publication Fees
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Book Editors:
Dr. Pushpa Singh – GL Bajaj Institute of Technology & Management, Greater Noida, India (pushpa.gla@gmail.com )
Dr. Asha Rani Mishra - GL Bajaj Institute of Technology & Management, Greater Noida, India (asha1.mishra@gmail.com )
Ms. Payal Garg - GL Bajaj Institute of Technology & Management, Greater Noida, India (payalgarg.cs@gmail.com)
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For any queries, please contact:
springernature.iabt6g@gmail.com