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shinde gitanjali rahul ; kalamkar asmita balasaheb ; mahalle parikshit n. ; dey nilanjan - data analytics for pandemics
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Data Analytics for Pandemics A COVID-19 Case Study

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Dettagli

Genere:Libro
Lingua: Inglese
Editore:

CRC Press

Pubblicazione: 08/2020
Edizione: 1° edizione





Note Editore

Epidemic trend analysis, timeline progression, prediction, and recommendation are critical for initiating effective public health control strategies, and AI and data analytics play an important role in epidemiology, diagnostic, and clinical fronts. The focus of this book is data analytics for COVID-19, which includes an overview of COVID-19 in terms of epidemic/pandemic, data processing and knowledge extraction. Data sources, storage and platforms are discussed along with discussions on data models, their performance, different big data techniques, tools and technologies. This book also addresses the challenges in applying analytics to pandemic scenarios, case studies and control strategies. Aimed at Data Analysts, Epidemiologists and associated researchers, this book: discusses challenges of AI model for big data analytics in pandemic scenarios; explains how different big data analytics techniques can be implemented; provides a set of recommendations to minimize infection rate of COVID-19; summarizes various techniques of data processing and knowledge extraction; enables users to understand big data analytics techniques required for prediction purposes.




Sommario

1. COVID-19 Outbreak1.1 Introduction1.2 Epidemic, Pandemic Overview1.2.1 Stages of Disease1.2.2 Pandemic Phases1.3 Novel Coronavirus1.4 Medical Overview – Nature and Spread1.5 Vulnerability Index2. Data processing and knowledge Extraction2.1 Data Sources and Related Challenges2.2 Data Storage2.2.1 Storage Services/Platforms2.2.2 Big Data Analytics Services2.2.3 Data Warehousing Services2.3 Data Processing2.3.1 Data Preparation2.3.2 Data Cleaning2.4 knowledge Extraction2.4.1 knowledge Extraction based on Data Types2.4.2 knowledge Extraction Techniques3. Big Data Analytics for COVID-193.1 All You Need to Know3.2 Big Data Analytics and COVID-193.2.1 Statistical Parameters3.2.2 Predictive Analytics3.3 Data Modelling and Performance 3.3.1 Data Modelling Phases3.3.2 Ensemble Data Model3.3.3 Model Performance3.4 Big Data Technique 3.4.1 Association Rule Learning3.4.2 Classification Tree Analysis3.4.3 Genetic Algorithm3.4.4 Machine Learning3.4.5 Regression Analysis3.4.6 Social Network Analysis3.5 Big Data Tools and Technology4. Mitigation Strategiesand Recommendations4.1 Case Studies of Covid-19: Global Outbreak4.2 Mitigation Strategies and Discussion4.3 Issues and Challenges4.4 Recommendations4.5 Conclusions4.6 Future Outlook




Autore

Gitanjali Shinde has overall 11 years of experience, presently working as SPPU approved Assistant Professor in Department of computer Engineering, Smt. Kashibai Navale College of Engineering, Pune – 41 till date. She has done Ph.D. in Wireless Communication from CMI, Aalborg University, Copenhagen, Denmark on Research Problem Statement “Cluster Framework for Internet of People, Things and Services” – Ph. D awarded on 8th May 2018. She obtained M.E. (Computer Engineering) degree from University of Pune, Pune in 2012 and B.E. (Computer Engg) degree from University of Pune, Pune in 2006. She has received research funding for project “lightweight group authentication for IoT” by SPPU, Pune. She has presented research article in World Wireless Research Forum (WWRF) meeting, Beijing China. She has published 40+ papers in National, International conferences and journals. She is author of 3 books and also editor of book “The Internet of Everything: Advances, Challenges and application” , De Gruyter Press. Ms. Asmita B. Kalamkar has 5 years of experience, presently working as Assistant Professor in Department of computer Engineering, Smt. Kashibai Navale College of Engineering, Pune – 41 till date. She obtained M.E. (Computer Engineering) degree from Savitribai Phule Pune University, Pune in 2015 and B.E. (Computer Engineering) degree from Savitribai Phule Pune University, Pune in 2013. She has published 10+ papers in National, International conferences and journals. She is author of 1 book. Parikshit N. Mahalle obtained his B.E degree in Computer Science and Engineering from Sant Gadge Baba Amravati University, Amravati, India and M.E. degree in Computer Engineering from Savitribai Phule Pune University, Pune, India. He completed his Ph.D in Computer Science and Engineering specialization in Wireless Communication from Aalborg University, Aalborg, Denmark. He was Post Doc Researcher at CMI, Aalborg University, Copenhagen, Denmark. Currently, he is working as Professor and Head in the Department of Computer Engineering at STES’s Smt. Kashibai Navale College of Engineering, Pune, India. He has more than 20 years of teaching and research experience. He is serving as a subject expert in Computer Engineering, Research and Recognition Committee at several universities like SPPU (Pune), SGBU (Amravati). He is a senior member IEEE, ACM member, Life member CSI and Life member ISTE. Also, he is a member of IEEE transaction on Information Forensics and Security, IEEE Internet of Things Journal. He is a reviewer for IGI Global – International Journal of Rough Sets and Data Analysis (IJRSDA), Associate Editor for IGI Global - International Journal of Synthetic Emotions (IJSE), Inderscience International Journal of Grid and Utility Computing (IJGUC). He is a Member-Editorial Review Board for IGI Global – International Journal of Ambient Computing and Intelligence (IJACI). He is also working as an Associate Editor for IGI Global - International Journal of Synthetic Emotions (IJSE). He has also remained a technical program committee member for International conferences and symposium like IEEE ICC, IEEE INDICON, IEEE GCWSN, IEEE ICCUBEA, etc. He is a reviewer for the Springer Journal of Wireless Personal Communications, reviewer for Elsevier Journal of Applied Computing and Informatics, member of the Editorial Review Board of IGI Global – International Journal of Ambient Computing and Intelligence (IJACI), member of the Editorial Review Board for Journal of Global Research in Computer Science. He has published more than 150 research publications having 1044 citations and H index 12. He has 5 edited books to his credit by Springer and CRC Press. He has 7 patents to his credit. He has also delivered invited talk on “Identity Management in IoT” to Symantec Research Lab, Mountain View, California. He has delivered more than 100 lectures at national and international level on IoT, Big Data and Digitization. He has authored 11 books on subjects like Context-aware Pervasive Systems and Application (Springer Nature Press), Design and Analysis of Algorithms (Cambridge University), Identity Management for the Internet of Things (River Publications), Data Structure and Algorithms (Cengage Publications), Programming using Python – (Tech-Neo Publications MSBTE). He had worked as Chairman of Board of Studies (Information Technology), SPPU, Pune. He is working as Member – Board of Studies (Computer Engineering), SPPU, Pune. He has been a member of the Board of Studies at several institutions like VIT (Pune), Govt. College (Karad), Sandeep University (Nashik), Vishwakarma University (Pune), Dr. D. Y. Patil International University (Pune), etc. He has also remained a technical program committee member for many International conferences. He is a recognized Ph. D guide of SSPU, Pune and guiding 7 PhD students in the area of IoT and Machine Learning. Recently, 2 students have successfully defended their Ph.D. He is also the recipient of “Best Faculty










Altre Informazioni

ISBN:

9780367558468

Condizione: Nuovo
Collana: Intelligent Signal Processing and Data Analysis
Dimensioni: 8.5 x 5.5 in Ø 1.68 lb
Formato: Copertina rigida
Illustration Notes:9 b/w images and 1 table
Pagine Arabe: 68
Pagine Romane: xvi


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