Recent Advances in Social Data and Artificial Intelligence 2019

• Autore: Srivastava Hari Mohan
• Pubblicazione: Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
• Descrizione fisica: 1 online resource (498 p.)
• Soggetto topico: Computer science; Information technology industries
• Soggetto non controllato: ABMS; advanced multicomponential discretization models; artificial intelligence; asymmetry; automatic speech recognition; behavior analysis; blockchain; breakpoint test; business; centrality metric; client/server; cloud computing; color revolution operator; combinatorial optimization problem; community detection; complex networks; context-aware; contingencies; crude oil price; cryptography; cybernetics; data acquisition; data management; data processing; data science; data-discretization methods; data-mining techniques; DBLP platform; decision tree; deep factorization; deep reinforcement learning; detection technology; digital services; digital teacher training; digitalization; electronic health records; Facebook advertising post; fashion recommendation; feature selection; feature-selection methods; geometric analysis; graph visualisation; gravitational degree; gravity model; greedy strategy; H-index; Hadoop; health information management; healthcare data; heuristics method; hierarchical information; ice-snow tourism; ICT infrastructure; imperialist competitive algorithm; industry data applications; innovation; keyphrase extraction; label propagation algorithm; lidar scanning signal; linear kernel; lossless signal transmission; machine learning; markov switching; micro-distortion; modularity increment; multi-channel weighted fusion loss; multi-layer neural network; multilayer network; multiple granularity features; natural language processing; nature-inspired algorithm; NP-hard problem; overlapping community discovery; pancreatic cancer; partial key exposure attack; person re-identification; plant root; polynomial kernel; post engagement; predictive analytics; preference analysis; privacy; Python; quality of service; RBF kernel; recommendation system; replace face-to-face education; robust partial least squares path modeling; RSA cryptanalysis; RSA cryptosystem; security; service composition; service time-cost; Siamese Multiple Granularity Network; social behavior; social data science; social media marketing; social network; social network simulation; social networking satisfaction; social networks; Spark; speech corpus; stock market; structural change; sustainable development; symmetrical designing; tag information; TCD1209DG; technology acceptance; tele-education; telemedicine; temporal links prediction; text corpus; text mining; topic model; twin support vector machine; Twitter; two expansions; two-tier partition algorithm; unsupervised method; visual analytics; visual style; weighted non-negative matrix factorization
• Persona (resp. second.): SrivastavaGautam; MagoVijay; SrivastavaHari Mohan
• Sommario/riassunto: The importance and usefulness of subjects and topics involving social data and artificial intelligence are becoming widely recognized. This book contains invited review, expository, and original research articles dealing with, and presenting state-of-the-art accounts pf, the recent advances in the subjects of social data and artificial intelligence, and potentially their links to Cyberspace.
• Titolo autorizzato: Recent Advances in Social Data and Artificial Intelligence 2019
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910585943903321
• Lo trovi qui: Univ. Federico II