Proceedings of Data Analytics and Management (eBook, PDF)

ICDAM 2022
Redaktion: Khanna, Ashish; Castillo, Oscar; Polkowski, Zdzislaw

• Format: PDF

Produktbeschreibung

This book includes original unpublished contributions presented at the International Conference on Data Analytics and Management (ICDAM 2022), held at tThe Karkonosze University of Applied Sciences, Poland, during June 2022. The book covers the topics in data analytics, data management, big data, computational intelligence, and communication networks. The book presents innovative work by leading academics, researchers, and experts from industry which is useful for young researchers and students.

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Produktdetails

• Verlag: Springer Nature Singapore
• Seitenzahl: 897
• Erscheinungstermin: 24. März 2023
• Englisch
• ISBN-13: 9789811976155
• Artikelnr.: 67673499

Autorenporträt

Ashish Khanna has expertise in Teaching, Entrepreneurship, and Research & Development of 17 years. He received his Ph.D. degree from National Institute of Technology, Kurukshetra, in March 2017. He has completed his M. Tech. and B. Tech. from GGSIPU, Delhi, in 2009 and 2004, respectively. He has completed his PDF from Internet of Things Lab at Inatel, Brazil. He has around 150 research papers along with book chapters including more than 82 papers in SCI-indexed journals. Additionally, he has authored, edited, and editing 40 books including proceedings, edited books, and text books. Furthermore, he has served the research field as TPC Chair/ General Chair/ Keynote Speaker/ Session Chair/ Reviewer/TPC Chair/ Guest Editor, and many more positions in various conferences and journals. His research interest includes distributed systems and its variants, data analytics, machine learning, and image processing. He is currently working at the CSE, Maharaja Agrasen Institute of Technology, Delhi, as Associate Professor. He is Convener of ICICC, ICDAM, ICCCN, and DoSCI Springer conference series. He is SMIEE and ACM Member too. He has five patents to his credit. His name emerged in AD Scientific World ranking as Leading Researcher. He has successfully completed funded government research projects. He is Recipient of 2021 IEEE System Council Best Paper Award. He is also Series and Consulting Editor in Elsevier. Zdzislaw Polkowski is Adjunct Professor at Faculty of Technical Sciences at the Jan Wyzykowski University, Poland. He is also Rector's Representative for International Cooperation and Erasmus Programme and former Dean of the Technical Sciences Faculty during the period of 2009¿2012. His area of research includes management information systems, business informatics, IT in business and administration, IT security, small medium enterprises, CC, IoT, big data, business intelligence, and block chain. He has published around 60 research articles. He has served the research community in the capacity of author, professor, reviewer, keynote speaker, and co-editor. He has attended several international conferences in the various parts of the world.  He is also playing the role principal investigator. Oscar Castillo holds the Doctor in Science degree (Doctor Habilitatus) in Computer Science from the Polish Academy of Sciences (with the Dissertation ¿Soft Computing and Fractal Theory for Intelligent Manufacturing¿). He is Professor of Computer Science in the Graduate Division, Tijuana Institute of Technology, Tijuana, Mexico. Currently, he is President of Hispanic American Fuzzy Systems Association (HAFSA) and Past President of International Fuzzy Systems Association (IFSA). Prof. Castillo is also Chair of the Mexican Chapter of the Computational Intelligence Society (IEEE). His research interests are in type-2 fuzzy logic, fuzzy control, neuro-fuzzy, and genetic-fuzzy hybrid approaches. He has published over 300 journal papers, 10 authored books, 40 edited books, 200 papers in conference proceedings, and more than 300 chapters in edited books, in total 865 publications according to Scopus (H index=60), and more than 1000 publications according to Research Gate (H index=72 in Google Scholar).    

Inhaltsangabe

Penetration Testing in Application using TestNG Tool.- Empirical Analysis of Psychological Well-Being of Students during the Pandemic with Rebooted Remote Learning Mode.- Handwritten Digit Recognition Using Machine Learning.- A Smart Movie Recommendation System Using Machine Learning Predictive Analysis.