Data Science in Engineering and Management (eBook, PDF)

Applications, New Developments, and Future Trends
Redaktion: Polkowski, Zdzislaw; Vasilev, Julian; Mishra, Sambit Kumar

• Format: PDF

Produktbeschreibung

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.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 160
• Erscheinungstermin: 30. Dezember 2021
• Englisch
• ISBN-13: 9781000520774
• Artikelnr.: 63141128

Autorenporträt

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.

Inhaltsangabe

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.