This book brings insight into data science and offers applications and implementation strategies. It includes current developments and future directions and covers the concept of data science along with its origins. It focuses on the mechanisms of extracting data along with classifications, architectural concepts, and business intelligence with predictive analysis.
Data Science in Engineering and Management:
Applications, New Developments, and Future Trends introduces the concept of data science, its use, and its origins, as well as presenting recent trends, highlighting future developments; discussing problems and offering solutions. It provides an overview of applications on data linked to engineering and management perspectives and also covers how data scientists, analysts, and program managers who are interested in productivity and improving their business can do so by incorporating a data science workflow effectively.
This book is useful to researchers involved in data science and can be a reference for future research. It is also suitable as supporting material for undergraduate and graduate-level courses in related engineering disciplines.
This book brings insight into Data Science and offers applications and implementation strategies. It includes recent developments and future trends and covers the concept of Data Science along with its origin. It focuses on the mechanisms of extracting data along with classifications, architectural concepts, and predictive analysis.
1. Concepts for Effective Mobile Devices Management in Enterprise
Environment.
2. Prioritization of Informational Factors and Query
Intensification Using Meta-heuristic Approach.
3. Estimation and Potential
Evaluation of Data Linked to Virtual Machines Using Computational Approach.
4. Potential Applications of Blockchain Technology in Construction Sector.
5.
Artificial Neural Networks Applications in Social Media Activities Impact on
Depression During the COVID-19 Pandemic.
6. Analysis of CCT through ANFIS for
Grid Connected SPV System.
7. Frequency Analysis of Human Brain Response to
Sudarshan Kriya Meditation.
8. Coordinated Control Action Between DFIG-Grid
Interconnected System Using PI Based SVM Controller.
9. Acceptance of New
School in Semi-Urban Areas of India: An Application of Data Mining.
10. Two-
Phase Natural Convection of Dusty Fluid Boundary Layer Flow Over a Vertical
Plate.
11. An Interactive Injection Mold Design with CAE and Moldflow
Analysis for Plastic Components.
12. Study of Collaborative Filtering based
Personalized Recommendation Quality, Relevance and Timing Effect on Users
Decision to Purchase.
Zdzislaw Polkowski is presently associated with Department of Business Intelligence in Management, Wroclaw University of Economics and Business, Poland.
Sambit Kumar Mishra is presently associated with the Gandhi Institute for Education and Technology, Baniatangi, Bhubaneswar, Odisha, India.
Julian Vasilev is presently associated as Professor in University of Economics, Varna, Bulgaria.
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