Big Data Analytics

TRAMA

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.

SOMMARIO

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.  

ALTRE INFORMAZIONI

• Condizione: Nuovo
• ISBN: 9783030666644
• Collana: Lecture Notes in Computer Science
• Dimensioni: 235 x 155 mm Ø 551 gr
• Formato: Brossura
• Illustration Notes: XIII, 345 p. 143 illus., 117 illus. in color.
• Pagine Arabe: 345
• Pagine Romane: xiii