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Advances in Data Science and Management: Proceedings of ICDSM 2021 de Samarjeet Borah

Advances in Data Science and Management: Proceedings of ICDSM 2021: Lecture Notes on Data Engineering and Communications Technologies, cartea 86

Editat de Samarjeet Borah, Sambit Kumar Mishra, Brojo Kishore Mishra, Valentina Emilia Balas, Zdzislaw Polkowski
en Limba Engleză Hardback – 14 feb 2022
This book includes high-quality papers presented at the Second International Conference on Data Science and Management (ICDSM 2021), organized by the Gandhi Institute for Education and Technology, Bhubaneswar, from 19 to 20 February 2021. It features research in which data science is used to facilitate the decision-making process in various application areas, and also covers a wide range of learning methods and their applications in a number of learning problems. The empirical studies, theoretical analyses and comparisons to psychological phenomena described contribute to the development of products to meet market demands.
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Specificații

ISBN-13: 9789811656842
ISBN-10: 9811656843
Pagini: 623
Ilustrații: XXVI, 623 p. 244 illus., 171 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 1.08 kg
Ediția:1st ed. 2022
Editura: Springer Nature Singapore
Colecția Springer
Seria Lecture Notes on Data Engineering and Communications Technologies

Locul publicării:Singapore, Singapore

Cuprins

Linguistic Information for Decision Making using SVM.- Generalization of blocks linked with query response using metaheuristic approach.- Gold Price Prediction using an evolutionary Extreme Learning Machine.- Prediction of Personality Traits in Facebook Users.- Analysing Odisha Turmeric Price and Other Major Turmeric Producing States of India: A Longitudinal Approach.- System For Full Immunization Coverage.- Intelligent Big Data Analytics: A Perspective for IoHT & HealthCare.- Host Specific Outlier Detection using Process Relation Semantics  with Graph Mining.- Intrusion Detection and Prevention Systems Using snort.- ANFIS for Fraud Automobile Insurance Detection System.- Computer Vision-Based Alert System to Detect Fatigue in Vehicle Drivers.- Concentration Level of a Learner using Facial  Expressions on E-Learning Platform.- A Multidimensional Data Mining Approach for Video Analysis and Ranking System.- Impulse Noise Restoration Using Combined Fuzzy Logic and Adaptive Trimmed Median Filter.

Notă biografică

Dr. Samarjeet Borah is currently working as Professor in the Department of Computer Applications, SMIT, Sikkim Manipal University (SMU), Sikkim, India. Dr. Borah handles various academics, research and administrative activities such as curriculum development, Board of Studies, Doctoral Research Committee, IT Infrastructure Management etc. in Sikkim Manipal University. Dr. Borah is involved with various funded projects from AICTE (Govt. of India), DST-CSRI (Govt. of India) etc. in the capacity of Principal Investigator/Co-principal Investigator. He has organized various national and international conferences such as ISRO Sponsored Training Programme on Remote Sensing & GIS, NCWBCB 2014, NER-WNLP 2014, IC3-2016, IC3-2018, ICDSM-2019, ICAET-2020, IC3-2020 etc. Dr. Borah is involved with various book volumes and journals of repute for Springer, IEEE, Inderscience, IGI Global etc. in the capacity of Editor/Guest Editor/Reviewer. He is editor-in-chief of the book/proceedings series – Research Notes on Computing and Communication Sciences, Apple Academic Press, USA. 
Dr. Sambit Kumar Mishra is having more than 22 years of teaching experience in different AICTE approved institutions in India. He obtained his Bachelor Degree in Engineering in Computer Engineering from Amravati University, Maharashtra, India in 1991, M.Tech. in Computer Science from Indian School of Mines, Dhanbad( Now IIT, Dhanbad), India in 1998 and Ph.D. in Computer Science and Engineering from Siksha ‘O’ Anusandhan University, Bhubaneswar, Odisha, India in 2015. He has more than 29 publications in different peer reviewed International Journals and editorial board member of different peer reviewed indexed Journals. Presently he is associated with Gandhi Institute for Education and Technology, Baniatangi, Bhubaneswar, Odisha, India. 
Dr. Brojo Kishore Mishra is a Professor at Department of Computer Science & Engineering, School of Engineering & Technology, GIET University, Gunupur, India. He received PhD degree in field of Computer Science from Berhampur University, India in 2012.His main research areas include Data Mining, Machine Learning and Security. Dr. Mishra has published more than 30 papers mainly on peer-reviewed international journals indexed SCOPUS, ESCI, and SCI. 
Dr. Valentina E. Balas is currently Full Professor in the Department of Automatics and Applied Software at the Faculty of Engineering, “Aurel Vlaicu” University of Arad, Romania. She holds a Ph.D. in Applied Electronics and Telecommunications from Polytechnic University of Timisoara. Dr. Balas is author of more than 350 research papers in refereed journals and International Conferences. Her research interests are in Intelligent Systems, Fuzzy Control, Soft Computing, Smart Sensors, Information Fusion, Modeling and Simulation. She is the Editor-in Chief to International Journal of Advanced Intelligence Paradigms (IJAIP) and International Journal of Computational Systems Engineering (IJCSysE), member in Editorial Board member of several national and international journals and is evaluator expert for national, international projects and PhD Thesis. Dr. Balas is the director of Intelligent Systems Research Centre in Aurel Vlaicu University of Arad and Director of the Department of International Relations, Programs and Projects in the same university. Now she is working in a national project with EU funding support: BioCell-NanoART = Novel Bio-inspired Cellular Nano-Architectures - For Digital Integrated Circuits, 3M Euro from National Authority for Scientific Research and Innovation. She is a member of EUSFLAT, SIAM and a Senior Member IEEE, member in TC – Fuzzy Systems (IEEE CIS), chair of the TF 14 in TC – Emergent Technologies (IEEE CIS), member in TC – Soft Computing (IEEE SMCS).
Dr. Zdzislaw Polkowski is Professor of UJW at Faculty of Technical Sciences and Rector'sRepresentative for International Cooperation and Erasmus+ Program at the Jan Wyzykowski University Polkowice. Since 2019 he is also adjunct Professor in Department of Business Intelligence in Management, Wroclaw University of Economics and Business, Poland. He holds a PhD degree in Computer Science and Management from Wroclaw University of Technology, Post Graduate degree in Microcomputer Systems in Management from University of Economics in Wroclaw and Post Graduate degree IT in Education from Economics University in Katowice. He obtained his Engineering degree in Industrial Computer Systems from Technical University of Zielona Gora. He has published more than 55 papers in journals, 15 conference proceedings, including more than 8 papers in journals indexed in the Web of Science. He served as a member of Technical Program Committee in many International conferences in Poland, India, China, Iran, Romania and Bulgaria. He is also the member of the Board of Studies and expert member of the doctoral research committee in many universities in India. He is also the member of the editorial board of several journals and served as a reviewer in a wide range of international journals. His area of interests includes IT in Business, IoT in Business and Education Technology. He has successfully completed a research project of worth 120000 USD on Developing the innovative methodology of teaching Business Informatics (www.dimbi.pl) funded by the European Commission. He also owns an IT SME consultancy company in Polkowice, Poland.

Textul de pe ultima copertă

This book includes high-quality papers presented at the Second International Conference on Data Science and Management (ICDSM 2021), organized by the Gandhi Institute for Education and Technology, Bhubaneswar, from 19 to 20 February 2021. It features research in which data science is used to facilitate the decision-making process in various application areas, and also covers a wide range of learning methods and their applications in a number of learning problems. The empirical studies, theoretical analyses and comparisons to psychological phenomena described contribute to the development of products to meet market demands.

Caracteristici

Presents research works in the field of data science Provides original works presented at ICDSM 2021 held at GIET, Bhubaneswar Serves as a reference for researchers and practitioners in academia and industry