AGC 2023

First Analytics Global Conference, AGC 2023, Kolkata, India, April 28–29, 2023, Proceedings

Suparna Dhar, Sanjay Goswami, U. Dinesh Kumar, Indranil Bose, Rameshwar Dubey, Chandan Mazumdar (Herausgeber)

Buch | Softcover

X, 183 Seiten

2024 | 1st ed. 2024
Springer International Publishing (Verlag)
978-3-031-50814-1 (ISBN)

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This book constitutes the refereed proceedings of the 1st Analytics Global Conference, AGC 2023, held in Kolkata, India, in April 2023. The AGC conference sought to facilitate industry-academia interfacing in the domain of machine learning and artificial intelligence.
The 11 full papers presented in these proceedings were carefully reviewed and selected from 36 submissions. The papers are organized in the two topical sections: Applications of Analytics in Business and Machine Learning & Deep Learning and Text Analytics.

Applications of Analytics in Business.- Efficiency and Benchmarking using DEA and Tessellation in Retail Stores.- A Machine Learning framework developed by leveraging the Topological Pattern Analysis of Bitcoin Addresses in Blockchain Network for Ransomware Identification.- A Taxonomy and Survey of Software Bill of Materials (SBOM) Generation Approaches.- Find Your Donor (FYD): An Algorithmic Approach Towards Empowering Lives & Innovating Healthcare.- Machine Learning, Deep Learning and Text Analytics.- Deep Learning-based Multiple Detection Techniques of Covid-19 Disease from Chest X-Ray Images using Advanced Image Processing Methods and Transfer Learning.- Classification Model to predict the Outcome of an IPL Match.- Knowledge Graph-based Evaluation Metric for Conversational AI Systems: A step towards Quantifying Semantic Textual Similarity.- Are we nearing Singularity? A study of language capabilities of ChatGPT.- THRESHOLDING TECHNIQUES COMPARSION ON GRAYSCALE IMAGE SEGMENTATION.- Automated Pneumonia Diagnosis from Chest X-rays using Deep Learning Techniques.- Detecting Emotional Impact on Young Minds based on Web Page text Classification using Data Analytics and Machine Learning.

Erscheinungsdatum	06.01.2024
Reihe/Serie	Communications in Computer and Information Science
Zusatzinfo	X, 183 p. 143 illus., 93 illus. in color.
Verlagsort	Cham
Sprache	englisch
Maße	155 x 235 mm
Gewicht	305 g
Themenwelt	Mathematik / Informatik ► Informatik ► Datenbanken
Themenwelt	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
Schlagworte	Analytics • application of analytics for education • application of analytics for health. • application of analytics for societal development • application of analytics in disaster management • Applications of analytics in business • applications of analytics in cybersecurity • applications of analytics in governance • applications of analytics in law and order • Artificial Intelligence • business process development with analytics • data collection • Data preprocessing • Data Visualization • Deep learning • Image Analytics • machine learning • Social Media Analytics • text analytics • Video Analytics
ISBN-10	3-031-50814-9 / 3031508149
ISBN-13	978-3-031-50814-1 / 9783031508141
Zustand	Neuware