Big Data Analytics

10th International Conference, BDA 2022, Hyderabad, India, December 19-22, 2022, Proceedings
1. Auflage 2022
ISBN: 978-3-031-24093-5
Verlag: Springer Nature Switzerland

Buch, Englisch, Band 13773, 279 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 446 g

Reihe: Lecture Notes in Computer Science

This book constitutes the proceedings of the 10th International Conference on Big Data Analytics, BDA 2022, which took place in Hyderabad, India, in December 2022.
The 7 full papers and 7 short papers presented in this volume were carefully reviewed and selected from 36 submissions. The book also contains 4 keynote talks in full-paper length. The papers are organized in the following topical sections: Big Data Analytics: Vision and Perspectives; Data Science: Architectures; Data Science: Applications; Graph Analytics; Pattern Mining; Predictive Analytics in Agriculture.

Zielgruppe

Research

Autoren/Hrsg.

Roy, Partha Pratim

Agarwal, Arvind

Uday Kiran, R.

Li, Tianrui

Krishna Reddy, P.

Fachgebiete

• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Mining

Inhaltsverzeichnis

Big Data Analytics: Vision and Perspectives.-  Data Challenges and Societal Impacts – the case in favor of the Blueprint for an AI Bill of Rights.- Big Data in Cognitive Neuroscience: Opportunities and Challenges.- Data Science: Architectures.- A Novel Feature Selection Based Text Classification using Multi-layer ELM.- ARCORE: Software Requirements Dataset for Service Identification.- ARCORE: Software Requirements Dataset for Service Identification.- Learning enhancement using Question-Answer generation for e-book using contrastive fine-tuned T5.- Data Science: Applications.- A Machine and Deep Learning Framework to Retain Customers based on their Lifetime Value.- A Deep Learning based Approach to Automate Clinical Coding of Electronic Health Records.- Determining the severity of Dementia using ensemble learning.- Determining the severity of Dementia using ensemble learning.- A distributed ensemble machine learning technique for emotion classification from vocal cues.- Graph Analytics. -Drugomics: Knowledge Graph & AI to Construct Physicians' Brain Digital Twin to Prevent Drug Side-effects and Patient Harm.- Extremely Randomized Tree based Sentiment Polarity Classification on Online Product Reviews.- Community Detection in Large Directed Graphs.- Pattern Mining.- FastTIRP: Efficient discovery of Time-Interval Related Patterns.- Discovering Top-K Periodic Patterns in Temporal Databases.- Hui2Vec: Learning Transaction Embedding Through High Utility Itemsets.- Predictive Analytics in Agriculture.- A Data-driven, Farmer-oriented Agricultural Crop Recommendation Engine (ACRE).- Analyze the Impact of Weather Parameters for Crop Yield Prediction using Deep Learning.- Analysis of Weather Condition based Reuse among Agromet Advisory: A Validation Study.