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E-raamat: Data Science in Engineering and Management: Applications, New Developments, and Future Trends [Taylor & Francis e-raamat]

Edited by (Gandhi Inst. for Edu. and Tech., India), Edited by (Univ. of Eco. Varna, Bulgaria), Edited by (Karkonosze State Univ of Appl. Sci., Jelenia Góra)
  • Formaat: 148 pages, 25 Tables, black and white; 70 Line drawings, black and white; 1 Halftones, black and white; 71 Illustrations, black and white
  • Ilmumisaeg: 07-Jan-2022
  • Kirjastus: CRC Press
  • ISBN-13: 9781003216278
  • Taylor & Francis e-raamat
  • Hind: 170,80 €*
  • * hind, mis tagab piiramatu üheaegsete kasutajate arvuga ligipääsu piiramatuks ajaks
  • Tavahind: 244,00 €
  • Säästad 30%
  • Formaat: 148 pages, 25 Tables, black and white; 70 Line drawings, black and white; 1 Halftones, black and white; 71 Illustrations, black and white
  • Ilmumisaeg: 07-Jan-2022
  • Kirjastus: CRC Press
  • ISBN-13: 9781003216278
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.
Preface vii
Editors ix
Contributors xi
Chapter 1 Concepts for Effective Mobile Device Management in an Enterprise Environment
1(14)
Iskren Lyubomilov Tairov
Chapter 2 Prioritization of Informational Factors and Query Intensification Using a Meta-Heuristic Approach
15(10)
Samarjeet Borah
Chapter 3 Estimation and Potential Evaluation of Data Linked to Virtual Machines Using a Computational Approach
25(10)
Jyoti Prakash Mishra
Sambit Kumar Mishra
Chapter 4 Potential Applications of Blockchain Technology in the Construction Sector
35(14)
Miglena Stoyanova
Chapter 5 Artificial Neural Network Applications in Social Media Activities: Impact on Depression during the COVID-19 Pandemic
49(18)
Marta R. Jablonska
Chapter 6 Analysis of CCT through ANFIS for a Grid-Connected SPV System
67(12)
Adithya Ballaji
Ritesh Dash
Chapter 7 Frequency Analysis of Human Brain Response to Sudarshan Kriya Meditation
79(8)
Rana Bishwamitra
Hima Bindu Maringanti
Chapter 8 Coordinated Control Action between a DFIG-Grid Interconnected System Using a PI-Based SVM Controller
87(10)
Adithya Ballaji
Ritesh Dash
Chapter 9 Acceptance of New Schools in Semi-Urban Areas of India: An Application of Data Mining
97(10)
Apurva Vashist
Suchismita Mishra
Chapter 10 Two-Phase Natural Convection of Dusty Fluid Boundary Layer Flow over a Vertical Plate
107(18)
Sasanka Sekhar Bishoyi
Ritesh Dash
Chapter 11 An Interactive Injection Mold Design with CAE and Moldflow Analysis for Plastic Components
125(10)
Sudhanshu Bhushan Panda
Antaryami Mishra
Chapter 12 Study of Collaborative Filtering-Based Personalized Recommendations: Quality, Relevance, and Timing Effect on Users' Decision to Purchase
135(12)
Darshana Desai
Index 147
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.