Data Analytics, Computational Statistics, and Operations Research for Engineers (eBook, PDF)

Methodologies and Applications
Redaktion: Samanta, Debabrata; Hammoudeh, Mohammad; Chilamkurti, Naveen; Islam, Sk Hafizul

• Format: PDF

Produktbeschreibung

With the rapidly advancing fields of Data Analytics and Computational Statistics, it's important to keep up with current trends, methodologies, and applications. This book investigates the role of data mining in computational statistics for machine learning. It offers applications that can be used in various domains and examines the role of transformation functions in optimizing problem statements.

Data Analytics, Computational Statistics, and Operations Research for Engineers: Methodologies and Applications presents applications of computationally intensive methods, inference techniques, and survival analysis models. It discusses how data mining extracts information and how machine learning improves the computational model based on the new information.

Those interested in this reference work will include students, professionals, and researchers working in the areas of data mining, computational statistics, operations research, and machine learning.

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Produktdetails

• Verlag: Taylor & Francis eBooks
• Seitenzahl: 274
• Erscheinungstermin: 24. März 2022
• Englisch
• ISBN-13: 9781000550429
• Artikelnr.: 63705004

Autorenporträt

Debabrata Samanta is presently working as Assistant Professor, Department of Computer Science, CHRIST (Deemed to be University), Bangalore, India. He obtained his Bachelors in Physics (Honors), from Calcutta University; Kolkata, India. He obtained his MCA, from the Academy of Technology, under WBUT, West Bengal. He obtained his PhD in Computer Science and Engg. from National Institute of Technology, Durgapur, India, in the area of SAR Image Processing. He is keenly interested in Interdisciplinary Research & Development and has experience spanning fields of SAR Image Analysis, Video surveillance, Heuristic algorithm for Image Classification, Deep Learning Framework for Detection and Classification, Blockchain, Statistical Modelling, Wireless Adhoc Network, Natural Language Processing, V2I Communication. He has successfully completed six Consultancy Projects. He has received funding under International Travel Support Scheme in 2019 for attending conference in Thailand. He has received Travel Grant for speaker in Conference, Seminar etc for two years from July, 2019. He is the owner of 19 Patents (2 Design Indian Patent and 2 Australian patent Granted, 15 Indian Patent published) and 2 copyright. He has authored and coauthored over 158 research papers in international journal (SCI/SCIE/ESCI/Scopus) and conferences including IEEE, Springer and Elsevier Conference proceeding. He has received "Scholastic Award" at 2nd International conference on Computer Science and IT application, CSIT-2011, Delhi, India. He is a co-author of 11 books and the co-editor of 7 books, available for sale on Amazon and Flipkart. He has presented various papers at International conferences and received Best Paper awards. He has author and co-authored of 20 Book Chapters. He also serves as acquisition editor for Springer, Wiley, CRC, Scrivener Publishing LLC, Beverly, USA. and Elsevier. He is a Professional IEEE Member, an Associate Life Member of Computer Society Of India (CSI) and a Life Member of Indian Society for Technical Education (ISTE). He is a Convener, Keynote speaker, Session chair, Co-chair, Publicity chair, Publication chair, Advisory Board, Technical Program Committee members in many prestigious International and National conferences. He was invited speaker at several Institutions. SK Hafizul Islam received the M.Sc. degree in Applied Mathematics from Vidyasagar University, Midnapore, India, in 2006, and the M.Tech. degree in Computer Application and the Ph.D. degree in Computer Science and Engineering in 2009 and 2013, respectively, from the Indian Institute of Technology [IIT (ISM)] Dhanbad, Jharkhand, India, under the INSPIRE Fellowship Ph.D. Program (funded by Department of Science and Technology, Government of India). He is currently an Assistant Professor with the Department of Computer Science and Engineering, Indian Institute of Information Technology Kalyani (IIIT Kalyani), West Bengal, India. Before joining the IIIT Kalyani, he was an Assistant Professor with the Department of Computer Science and Information Systems, Birla Institute of Technology and Science, Pilani (BITS Pilani), Rajasthan, India. He has more than eight years of teaching and ten years of research experiences. He has authored or co-authored hundred research papers in journals and conference proceedings of international reputes. His research interests include cryptography, information security, WSNs, IoT, and cloud computing. Dr. Islam is an Associate Editor for Wiley's "International Journal of Communication Systems" and "Security and Privacy" and IEEE's "IEEE Access". He was a reviewer in many reputed international journals and conferences. He was the recipient of the University Gold Medal, the S. D. Singha Memorial Endowment Gold Medal, and the Sabitri Parya Memorial Endowment Gold Medal from Vidyasagar University, in 2006. He was also the recipient of the University Gold Medal from IIT(ISM) Dhanbad in 2009 and the OPERA award from BITS Pilani in 2015. He is a senior member of the IEEE and a member of the ACM. Naveen Chilamkurti is currently a Reader/Associate Professor and Cybersecurity discipline head, Computer Science and Computer Engineering, La Trobe University, Melbourne, VIC, Australia. He obtained his Ph.D. degree from La Trobe University. He is also the Inaugural Editor-in-Chief for International Journal of Wireless Networks and Broadband Technologies launched in July 2011. He has published about 300 Journal and conference papers. He has edited and authored six books with various publishers. His current research areas include Cybersecurity, IoT, Anomaly detection in IoT, Internet of Medical Things, Wireless Security, Federated Learning in IoT, wireless multimedia, wireless sensor networks, and so on. He currently serves on the editorial boards of several international journals. He is a Senior Member of IEEE. He is also an Associate Editor for IEEE, Wiley IJCS, SCN, Inderscience JETWI, and IJIPT. Mohammad Hammoudeh received his MSc in Advanced Distributed Systems in 2006 (University of Leicester, UK), and his PhD in Wireless Sensor Networks in 2008 (University of Wolverhampton, UK). He was appointed as inaugural head of the CfACS Internet of Things Lab in 2016. He was awarded a Readership in Future Networks and Security in 2019. He is an active disseminator of research to the academic community, industry, policy makers and wider technology beneficiaries, he over 75 refereed conference publications, 50 peer reviewed journal publications, and is a successful editor of 3 books and many journal special issues. He continues to be an active researcher in the areas of cybersecurity, the Internet of Things (IoT), and simulation and modelling of complex highly decentralised systems. Mohammad is engaged with several national and international advisory and grant awarding bodies in the areas of cybersecurity, IoT and blockchain. He has been awarded above £1.5M as Principal/Co-Investigator for 13 research projects. He is a co-founder of the CupCarbon IoT and smart cities simulator.

Inhaltsangabe

Part 1: Statistical Computing. 1. Computational Arithmetic for Statistical
Computation. 2. Numerical Algorithm and Software for Statistical
Computation. 3. Impact of Modern Computer on Statistical Computing. 4.
Numerical Methods as the Backbone of Simulation Techniques. 5. Linear
Algebra and Optimization for Computation. 6. Role of Transformation
Functions in Restructuring the Problem Statements. 7. Optimization of
Computing Resources. 8. Role of Statistical Graphics in Data Analysis. Part
2: Statistical Methodology. 9. Computationally Intensive Statistical
Methods. 10. Techniques in Computational Inferencing. 11. Computer Models
for Design of Experiments. 12. Bayesian Analysis for Computational
Inference. 13. Survival Analysis Models in Computational Methods. 14.
Impact of Data Mining to the Computational Statistics for Machine Learning.
Part 3: Computational Statistics Applications. 15. Computational Statistics
in Finance and Economics. 16. Computationally Intensive Statistical Methods
in Human Biology. 17. Computational Statistics within Clinical Research.
18. Computational Statistics for Network Security.