Advances in Data Science and Analytics: Concept and Paradigm
ADSA 2021
- URL: https://sites.google.com/view/adscandda
- Event Date: ~
- Abstract Submission Date: 2020-08-31
- Submission Date: 2020-10-10
Book Title:
Advances in Data Science and Analytics: Concept and Paradigm
List of Topics (not limited to):
Components of Data Science
Data Visualization techniques
Decision Making and Predictive Analysis
Data Modeling and Optimization
Machine Learning -Supervised Learning and Unsupervised Learning
Deep Learning, Big Data Analytics
Data Science with R
Python for Data Science
Mathematical methods for Data Science
Advanced Tools to support Data Science and Analytics
About Book: This book will provide the contents of Advances in Data Science and Analytics Concept and Paradigm with practical approach. Topics to be covered - Components of Data Science - Machine Learning, Big Data, Business Intelligence, Types of Analytics - Descriptive Analytics. Diagnostic Analytics, Predictive Analytics, Prescriptive Analytics, Mathematics for Data Science, Data Visualization techniques, Data Visualization in Tableau, Decision Making and Predictive Analysis - Implementing Scientific Decision Making, Using Predictive Data Analysis, Data Modeling and Optimization, Machine Learning, Regression Techniques, Data exploration, Evaluation methods, Classification Techniques, Clustering Techniques, Anomaly Detection, Dimensionality Reduction, Association Rule Learning, Deep Learning, Neural Networks, Big Data Analytics, Data Science with R, Python for Data Science, Building a Data Team, Data Processing, Data Storage, Data Privacy and security, Bayesian Networks, and Case studies.
How to Submit Your Chapter:
Send your 500-word abstract by the designated deadline to callforchaptersnm@gmail.com
Note that all chapters will be put through similarity software and publisher’s guidelines are an overall similarity index of less than 15% (with a maximum 3% from any single source).
Reviewing Policy: The editor(s) follows the double-blind review process to assess originality, clarity, usefulness and adherence to the scope of the project. Editor(s) are responsible for the final decision regarding acceptance or rejection of chapters.
Editor(s):
Dr. Niranjanamurthy M, M S Ramaiah Institute of Technology, India
Dr. Hemant Kumar Gianey, Thapar Institute of Engineering & Technology, India
Prof. Amir H. Gandomi, University of Technology Sydney, Australia
For more details, visit this website: https://sites.google.com/view/adscandda
Advances in Data Science and Analytics: Concept and Paradigm
List of Topics (not limited to):
Components of Data Science
Data Visualization techniques
Decision Making and Predictive Analysis
Data Modeling and Optimization
Machine Learning -Supervised Learning and Unsupervised Learning
Deep Learning, Big Data Analytics
Data Science with R
Python for Data Science
Mathematical methods for Data Science
Advanced Tools to support Data Science and Analytics
About Book: This book will provide the contents of Advances in Data Science and Analytics Concept and Paradigm with practical approach. Topics to be covered - Components of Data Science - Machine Learning, Big Data, Business Intelligence, Types of Analytics - Descriptive Analytics. Diagnostic Analytics, Predictive Analytics, Prescriptive Analytics, Mathematics for Data Science, Data Visualization techniques, Data Visualization in Tableau, Decision Making and Predictive Analysis - Implementing Scientific Decision Making, Using Predictive Data Analysis, Data Modeling and Optimization, Machine Learning, Regression Techniques, Data exploration, Evaluation methods, Classification Techniques, Clustering Techniques, Anomaly Detection, Dimensionality Reduction, Association Rule Learning, Deep Learning, Neural Networks, Big Data Analytics, Data Science with R, Python for Data Science, Building a Data Team, Data Processing, Data Storage, Data Privacy and security, Bayesian Networks, and Case studies.
How to Submit Your Chapter:
Send your 500-word abstract by the designated deadline to callforchaptersnm@gmail.com
Note that all chapters will be put through similarity software and publisher’s guidelines are an overall similarity index of less than 15% (with a maximum 3% from any single source).
Reviewing Policy: The editor(s) follows the double-blind review process to assess originality, clarity, usefulness and adherence to the scope of the project. Editor(s) are responsible for the final decision regarding acceptance or rejection of chapters.
Editor(s):
Dr. Niranjanamurthy M, M S Ramaiah Institute of Technology, India
Dr. Hemant Kumar Gianey, Thapar Institute of Engineering & Technology, India
Prof. Amir H. Gandomi, University of Technology Sydney, Australia
For more details, visit this website: https://sites.google.com/view/adscandda
Journal Promotion
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| Acta Koreana (Acta Koreana) |
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| Acta Via Serica (AVS) |
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| Computers and Concrete (CAC) |
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| Journal of Information Processing Systems (JIPS) |
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| Journal of Internet Computing and Services (KSII - JICS) |
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| Journal of Smart Tourism (Smart Tourism) |
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| Membrane and Water Treatment (MWT) |
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| Wind and Structures, An International Journal (Wind and Structures) |
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