Mathematics

Mathematical Sciences in Data Analysis
Editors: Dr. Amir Ahmad Dar
Dr Waseem Z. Lone

Not for sale at this time
Mathematical Sciences in Data Analysis

CaLL FOR BOOK CHAPTERS
Pub Date: TBA
Hardback Price: TBA
Hard ISBN: 
Pages: TBA
Binding Type: 

CALL FOR BOOK CHAPTERS

Short Description of the Book:


The book Mathematical Sciences in Data Analysis provides an in-depth investigation of the advanced techniques and fundamental mathematical ideas that drive contemporary data analysis. With its concise explanations, illustrative examples, and useful applications, this book gives readers the information and abilities they need to confidently take on challenging data analysis jobs. Each chapter explores important subjects like linear algebra, probability theory, optimization, machine learning, and statistical inference, ranging from basic mathematical concepts to state-of-the-art algorithms and models. This provides a strong foundation for comprehending and utilizing mathematical techniques in data-driven decision-making processes.

As editors, we shall endeavor to create a unique work that explores the applied and empirical facets of data science processing rather than their theoretical descriptions.

Coverage:

We request potential authors to consider submitting their scholarly findings to enrich the content of this intended book. The book will cover the following topics, but not limited to:

  • Linear Algebra for Data Analysis
  • Probability Theory and Statistics Fundamentals
  • Multivariate Analysis Techniques
  • Optimization Methods in Data Analysis
  • Time Series Analysis and Forecasting
  • Clustering and Classification Algorithms
  • Dimensionality Reduction Techniques
  • Graph Theory and Network Analysis
  • Statistical Inference and Hypothesis Testing
  • Regression Analysis and Model Building
  • Machine Learning Fundamentals
  • Deep Learning and Neural Networks
  • Bayesian Methods in Data Analysis
  • Text Mining and Natural Language Processing
  • Ensemble Learning and Model Evaluation
  • Fuzzy Model

Important Dates:

Initial Proposal / Abstract Submission (400 - 600 words)

Deadline: May 10th, 2024

Notification of Acceptance: May 20th, 2024

Full Chapter (8,000 - 10,000 words) Submission Due: On or before August 10th , 2024


Submission procedure:

Researchers and practitioners are invited to submit a one-page chapter proposal or abstract on or before May 10th, 2024, clearly mentioning the title of the paper and author(s) details. Author(s) will be notified about the status of their proposals by May 20th, 2024. Full chapters (15-30 pages) are expected to be submitted by August 10th, 2024. All submitted chapters will be peer-reviewed.

Prospective authors are requested to submit their proposals / full-length chapters as an email attachment in a Word file to:

Editor: Dr. Amir Ahmad Dar
Email: sagaramir200@gmail.com
Editor: Waseem z. Lone
Email: lone.waseem.393@gmail.com


Authors must refer to the following link for detailed guidelines for chapter preparation: http://www.appleacademicpress.com/publishwithus

Note: There is no publication fee for manuscripts submitted to this book publication. Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere.


About the Authors / Editors:
Editors: Dr. Amir Ahmad Dar
Assistant Professor, Department of Statistics, Lovely Professional University, Punjab, India


Dr Waseem Z. Lone
Assistant Professor, Department of Mathematics, Lovely Professional University, Punjab, India





Follow us for the latest from Apple Academic Press:
Copyright © 2024 Apple Academic Press Inc. All Rights Reserved.