Intelligent Computing for Big Data

• Autore: Wang Wei
• Pubblicazione: Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
• Descrizione fisica: 1 online resource (100 p.)
• Soggetto topico: Computer science; Information technology industries
• Soggetto non controllato: artificial intelligence; autism spectrum disorder (ASD); behavior recognition; big data; big text data; bio-inspired algorithms; bioinformatics; blockchain; blockchain technology; classification; convolution neural network; decentralized architecture; deep learning; document classification; dog detection; fusion model; Grey Wolf Optimization (GWO); long-term care; machine learning; multimodal data; n/a; older people; proof-of-replication; proxy re-encryption; spatio-temporal document; storage; Support Vector Machine (SVM)
• Persona (resp. second.): ManKa Lok; WangWei
• Sommario/riassunto: 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.
• Titolo autorizzato: Intelligent Computing for Big Data
• ISBN: 3-0365-5878-0
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910637792303321
• Lo trovi qui: Univ. Federico II