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Intelligent Computing for Big Data

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...

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Bibliographic Details
Main Author: Wang, Wei
Other Authors: Man, Ka Lok
Format: eBook
Language:English
Published: Basel MDPI - Multidisciplinary Digital Publishing Institute 2022
Subjects:
Machine Learning
Behavior Recognition
N/a
Bio-inspired Algorithms
Big Data
Deep Learning
Bioinformatics
Document Classification
Older People
Spatio-temporal Document
Convolution Neural Network
Information Technology Industries / Bicssc
Multimodal Data
Support Vector Machine (svm)
Proof-of-replication
Computer Science / Bicssc
Long-term Care
Big Text Data
Storage
Blockchain
Artificial Intelligence
Blockchain Technology
Classification
Grey Wolf Optimization (gwo)
Fusion Model
Autism Spectrum Disorder (asd)
Decentralized Architecture
Proxy Re-encryption
Dog Detection
Online Access:
Collection: Directory of Open Access Books - Collection details see MPG.ReNa
Description
Summary: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.
Item Description:Creative Commons (cc), https://creativecommons.org/licenses/by/4.0/
Physical Description:1 electronic resource (100 p.)
ISBN:books978-3-0365-5878-3
9783036558783
9783036558776

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