Big Data Analytics

10th International Conference, BDA 2022, Hyderabad, India, December 19–22, 2022, Proceedings

AvPartha Pratim Roy,Arvind Agarwal

Häftad, Engelska, 2023

Del 13773 i serien Lecture Notes in Computer Science

694 kr

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Beskrivning

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.

Produktinformation

Utgivningsdatum:2023-01-31
Mått:155 x 235 x 19 mm
Vikt:446 g
Format:Häftad
Språk:Engelska
Serie:Lecture Notes in Computer Science
Antal sidor:279
Förlag:Springer International Publishing AG
ISBN:9783031240935

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Innehållsförteckning

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.