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E-raamat: Big Data Analytics: 8th International Conference, BDA 2020, Sonepat, India, December 15-18, 2020, Proceedings

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This book constitutes the proceedings of the 8th International Conference on Big Data Analytics, BDA 2020, which took place during December 15-18, 2020, in Sonepat, India. 
The 11 full and 3 short papers included in this volume were carefully reviewed and selected from 48 submissions; the book also contains 4 invited and 3 tutorial papers. The contributions were organized in topical sections named as follows: data science systems; data science architectures; big data analytics in healthcare; information interchange of Web data resources; and business analytics.
Data Science : Systems.- A Comparison of Data Science Systems.-
Architectural Patterns for Integrating Data Lakes into Data Warehouse
Architectures.- Study and Understanding the Significance of Multilayer ELM
Feature Space.- Spectral Learning of Semantic Units in a Sentence Pair to
Evaluate Semantic Textual Similarity.- Data Science : Architectures.-
i-Fence: A Spatio-Temporal Context-Aware Geofencing Framework for Triggering
Impulse Decisions.- Face Mask Detection using Transfer Learning of
InceptionV3.- Analysis of GPS trajectories mapping on shape files using
spatial computing approaches.- Big Data Analytics in Healthcare.- A Transfer
Learning Approach to Classify the Brain Age from MRI Images.- Precision
Health: Balancing Reactive Care and Proactive Care through the Evidence
Based Knowledge Graph Constructed from Real-World Electronic Health Records,
Disease Trajectories, Diseasome, and Patholome.- Prediction for the Second
Wave of COVID-19 in India.- Texture Feature Extraction: Impact of Variants on
Performance of Machine Learning Classifiers: Study on Chest X-ray Pneumonia
Images.- Computer-Aided Diagnosis of Thyroid Dysfunction: A Survey.-
Information Interchange of Web Data Resources.- Generic Key Value Extractions
from Emails.- Next Generation Web:  Technologies and Services.- Adversarial
Collusion on the Web: State-of-the-art and Future Directions.- Comparing
performance of classifiers applied to disaster detection in Twitter tweets:
preliminary considerations.- Business Analytics.- Applying machine learning
to anomaly detection in car insurance sales.- Authorship Identification using
Stylometry and Document Fingerprinting Decisions.- A Revenue-based Product
Placement Framework to Improve Diversity in Retail Businesses.- Recommending
Question-Answers for enriching Textbooks.- OWI: Open-world Intent
Identification framework for Dialog Based System.