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Título de Acceso Abierto

Big Data Research for Social Sciences and Social Impact

Resumen/Descripción – provisto por la editorial

No disponible.

Palabras clave – provistas por la editorial

online community; bibliometric analysis; KDE; big data analytic methods; TP organics; skills; topic analysis; systematic and replicable patent analysis method; SDE; Guangzhou; filtering; point of interests (POI); framing; innovation in sustainable agriculture; researchers; sentiment polarity classification; illegal accommodation; dynamic topic model; network data analysis; decision-making; learning analytics; research frontier; prediction grades; framings; opinion mining; association rule; big data research; Hong Kong; place sustainability; spatial accessibility of residential public services; maturity model; data science; educational data mining; spatiotemporal analysis; information systems; information diffusion; smart citizens; policy; back-propagation neural network; innovation; social media big data; lbsn; GWR; context–problem network; Social network; machine learning; web science; social good; social sciences; online data; resource optimisation; data commons; sustainable agri-food systems; social and humanistic computing; product attributes; analytics; car review; technology platforms; big data; community detection; technopolitics; transaction costs; problem-solved concept; sales prediction; sentiment analysis; Barcelona; TripAdvisor; innovation networks; sustainability; sustainable development; experimental cities; online travel review; check-in density; decision making; smart cities; GDPR; hype cycle; advanced business analytics; institutional innovation; temporal analytics; data mining; decision-makers; online word-of-mouth; knowledge management; semantic network analysis; sustainable wireless energy transmission technology; housing problem; social impact; paradox; early career; Greek Attica; text mining; user-generated content; social media; big data analytics; social networks; sustainability development; building stock management; data analyst; NodeXL; review voting; promising technology; social inclusive economic growth; destination image; Xiamen City

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Información

Tipo de recurso:

libros

ISBN electrónico

978-3-03928-221-0

País de edición

Suiza