Book description
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.
Table of contents
- Cover
- Half-Title Page
- Title Page
- Copyright Page
- Table of Contents
- Preface
- Editors
- Contributors
- 1 Concepts for Effective Mobile Device Management in an Enterprise Environment
- 2 Prioritization of Informational Factors and Query Intensification Using a Meta-Heuristic Approach
- 3 Estimation and Potential Evaluation of Data Linked to Virtual Machines Using a Computational Approach
-
4 Potential Applications of Blockchain Technology in the Construction Sector
- 4.1 Introduction
- 4.2 Review of Literature
- 4.3 Overview of Blockchain in Construction
-
4.4 Potential Applications of Blockchain Technology in Construction
- 4.4.1 Smart Contracts
- 4.4.2 Combining Smart Contracts to Create a Decentralized Autonomous Organization
- 4.4.3 Building Information Modeling
- 4.4.4 Decentralized Network Management of Devices
- 4.4.5 Rationalization of Financing and Payments
- 4.4.6 Compliance Simplification
- 4.4.7 Supply Chain Management (Origin and Traceability)
- 4.4.8 3D Printing of New Construction Parts
- 4.5 Conclusion
- References
- 5 Artificial Neural Network Applications in Social Media Activities: Impact on Depression during the COVID-19 Pandemic
- 6 Analysis of CCT through ANFIS for a Grid-Connected SPV System
- 7 Frequency Analysis of Human Brain Response to Sudarshan Kriya Meditation
- 8 Coordinated Control Action between a DFIG-Grid Interconnected System Using a PI-Based SVM Controller
- 9 Acceptance of New Schools 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 RecommendationsQuality, Relevance, and Timing Effect on Users’ Decision to Purchase
- Index
Product information
- Title: Data Science in Engineering and Management
- Author(s):
- Release date: December 2021
- Publisher(s): CRC Press
- ISBN: 9781000520842
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