Intelligent Computing for Big Data

doi:10.3390/books978-3-0365-5878-3

Download Url(s)

https://mdpi.com/books/pdfview/book/6398

Contributor(s)

Wang, Wei (editor)

Man, Ka Lok (editor)

Language

English

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Abstract

Recent advances in artificial intelligence have the potential to further develop current big data research. The Special Issue on ‘Intelligent Computing for Big Data’ highlighted a number of recent studies related to the use of intelligent computing techniques in the processing of big data for text mining, autism diagnosis, behaviour recognition, and blockchain-based storage.

URI

https://directory.doabooks.org/handle/20.500.12854/94563

Keywords

multimodal data; behavior recognition; dog detection; fusion model; deep learning; older people; long-term care; artificial intelligence; blockchain technology; decentralized architecture; autism spectrum disorder (ASD); big data; bioinformatics; machine learning; classification; bio-inspired algorithms; Grey Wolf Optimization (GWO); Support Vector Machine (SVM); convolution neural network; spatio-temporal document; document classification; big text data; proxy re-encryption; blockchain; storage; proof-of-replication; n/a