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Big Data Analytics de Partha Pratim Roy

Big Data Analytics: Lecture Notes in Computer Science, cartea 13773

Editat de Partha Pratim Roy, Arvind Agarwal, Tianrui Li, P. Krishna Reddy, R. Uday Kiran
en Limba Engleză Paperback – 31 ian 2023
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.
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Specificații

ISBN-13: 9783031240935
ISBN-10: 3031240936
Pagini: 292
Ilustrații: XII, 279 p. 93 illus., 53 illus. in color.
Dimensiuni: 155 x 235 x 16 mm
Greutate: 0.45 kg
Ediția:1st edition 2022
Editura: Springer
Colecția Lecture Notes in Computer Science
Seria Lecture Notes in Computer Science

Locul publicării:Cham, Switzerland

Cuprins

​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.