Data Science (eBook, ePUB)

Techniques and Intelligent Applications
Redaktion: Chavan, Pallavi Vijay; Williams, Idongesit; Mangrulkar, Ramchandra; Mahalle, Parikshit N

• Format: ePub

Produktbeschreibung

This book covers the topic of data science in a comprehensive manner and synthesizes both fundamental and advanced topics of a research area that has now reached maturity.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 322
• Erscheinungstermin: 15. August 2022
• Englisch
• ISBN-13: 9781000613476
• Artikelnr.: 64221029

Autorenporträt

Dr. Pallavi Vijay Chavan is Associate Professor at Ramrao Adik Institute of Technology, D Y Patil Deemed to be University, Navi Mumbai, MH, India. She has been in academics since the past 16 years and working in the area of data science and network security. In her academic journey, she published research work in the data science and security domain with reputed publishers including Springer, Elsevier, CRC press and Inderscience. She has published 1 book, 7+ book chapters, 10+ international journal papers and 30+ international conference papers. Presently she is guiding 5 Ph.D. research scholars in the similar domain. She completed her Ph.D. from Rashtrasant Tukadoji Maharaj Nagpur University, Nagpur, MH, India in 2017. She secured the first merit position in Nagpur University for the degree of B.E. in Computer Engineering in 2003. She is recipient of research grants from UGC, CSIR and University of Mumbai. She is acting as a reviewer for Elsevier , Inderscience journals. Her firm belief is "Teaching is a mission". Dr Parikshit is a senior member IEEE and is Professor and Head of Department of Artificial Intelligence and Data Science at Vishwakarma Institute of Information Technology, Pune, India. He completed his Ph. D from Aalborg University, Denmark and continued as Post Doc Researcher. He has 21 + years of teaching and research experience. He is member of Board of Studies in Computer Engineering SPPU and various Universities. He has 9 patents, 200+ research publications (citations-1830, H index-18) and authored/edited 30+ books with Springer, CRC Press, Cambridge University Press, etc. He is editor in chief for IGI Global ¿International Journal of Rough Sets and Data Analysis, Associate Editor for IGI Global - International Journal of Synthetic Emotions, Inter-science International Journal of Grid and Utility Computing, member-Editorial Review Board for IGI Global ¿ International Journal of Ambient Computing and Intelligence. His research interests are Algorithms, Internet of Things, Identity Management and Security. He has delivered 200 plus lectures at national and international level. Dr. Ramchandra Mangrulkar, being a post graduate from National Institute of Technology, Rourkela, received his PhD in Computer Science and Engineering from SGB Amravati University, Amravati in 2016. At present, he is working as an Associate Professor in the Department of Computer Engineering at SVKM¿s Dwarkadas J. Sanghvi College of Engineering, Mumbai (Autonomous college affiliated to University of Mumbai), Maharashtra, India. Dr. Ramchandra Mangrulkar has published 50 papers and 24 book chapters with Taylor and Francis, Springer and IGI Global in the field of interest. He has presented 54 papers in national and international conferences. He has also edited 5 books with CRC Press, Taylor and Francis Series. He has also worked as Reviewer in many international journals and also reviewed many book proposals submitted to publishers of international repo. He has also chaired many sessions in national and international conferences. He has also shown keen interest in conducting and organizing workshops on Artificial Intelligence BoT in Education , Network Simulator 2, Innovative tools for Research and LaTeX & Overleaf. He has also received certification of appreciation from DIG Special Crime Branch Pune and Superintendent of Police and broadcasting media gives wide publicity for the project work guided by him on the topic "Face Recognition System". He has also received grant in aid of Rs. 3.5 laks under Research Promotion Scheme of AICTE, New Delhi for the project "Secured Energy Efficient Routing Protocol for Delay Tolerant Hybrid Network". He is also working as internal thesis advisor at NMIMS's MPSTE Mumbai and DY Patil's RAIT, Navi Mumbai. He also worked as external referee for PhD thesis evaluation at SGB Amravati University and RTM Nagpur University. He is an active member of the Board of Studies in various universities and autonomous institutes in India. Dr. Idongesit WILLIAMS is an Assistant Professor at Aalborg University Copenhagen. He holds a Bachelor in Physics, a Master degree in Information and Communications Technologies and a Ph.D. He has since 2010 researched into socio-economic, socio-technical related to Information and Communications Technologies. His research areas include the following. The facilitation of telecom and ICT infrastructure using Public Private Partnerships; the development and the sustenance of Community-Based Networks, e-government implementation; Science and Technology Studies; gender adoption of ICTs; Organizational adoption of ICTs; User experience with ICTs and Organizational Learning He has authored more than 60 research publications, including journal papers, books, book chapters, conference papers and magazine articles. He is the co-editor of the Book, The African Mobile Story. He has delivered presentations at conferences and also helped in organizing conferences such as the CMI annual conference and the CMI/GTUC conferences.

Inhaltsangabe

1. Instigation and Development of Data Science. 2. Role of Statistical
Methods in Data Science. 3. Real-World Applications of Data Science. 4.
HDWR_SmartNet: A Smart Handwritten Devanagari Word Recognition System Using
Deep ResNet-Based on Scan Profile Method. 5. Safe Social Distance
Monitoring and Face Mask Detection for Controlling COVID-19 Spread. 6.
Real-Time Virtual Fitness Tracker and Exercise Posture Correction. 7. Role
of Data Science in Revolutionizing Healthcare. 8. Application of Artificial
Intelligence Techniques in the Early-Stage Detection of Chronic Kidney
Disease. 9. Multi-Optimal Deep Learning Technique for Detection and
Classification of Breast Cancer. 10. Realizing Mother¿s Features
Influential on Childbirth Experience, towards Creation of a Dataset. 11.
BERT- and FastText-Based Research Paper Recommender System. 12. Analysis
and Prediction of Crime Rate against Women Using Classification and
Regression Trees. 13. Data Analysis for Technical Business Incubation
Performance Improvement. 14. Satellite Imagery-Based Wildfire Detection
Using Deep Learning. 15. Low Resource Language Document Summarization: A
Challenge. 16. Eclectic Analysis of Classifiers for Fake News Detection.
17. Data Science and Machine Learning Applications for Mental Health. 18.
Analysis of Ancient and Modern Meditation Techniques on Human Mind and Body
and Their Effectiveness in Covid-19 Pandemic.