top

  Info

  • Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.

  Info

  • Utilizzare questo link per rimuovere la selezione effettuata.
Data Science and Knowledge Discovery
Data Science and Knowledge Discovery
Autore Portela Filipe
Pubbl/distr/stampa Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 electronic resource (254 p.)
Soggetto topico Information technology industries
Computer science
Soggetto non controllato crisis reporting
chatbots
journalists
news media
COVID-19
textbook research
digital humanities
digital infrastructures
data analysis
content base image retrieval
semantic information retrieval
deep features
multimedia document retrieval
data science
open government data
governance and social institutions
economic determinants of open data
geoinformation technology
fractal dimension
territorial road network
box-counting framework
script Python
ArcGIS
internet of things
LoRaWAN
ICT
The Things Network
ESP32 microcontroller
decision systems
rule based systems
databases
rough sets
prediction by partial matching
spatio-temporal
activity recognition
smart homes
artificial intelligence
automation
e-commerce
machine learning
big data
customer relationship management (CRM)
distracted driving
driving behavior
driving operation area
data augmentation
feature extraction
authorship
text mining
attribution
neural networks
deep learning
forensic intelligence
dashboard
WebGIS
data analytics
SARS-CoV-2
Big Data
Web Intelligence
media analytics
social sciences
humanities
linked open data
adaptation process
interdisciplinary research
media criticism
classification
information systems
public health
data mining
ioCOVID19
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910576878103321
Portela Filipe  
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Open Innovation in Micro, Small and Medium-Sized Enterprises
Open Innovation in Micro, Small and Medium-Sized Enterprises
Autore Leitão João
Pubbl/distr/stampa Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 electronic resource (258 p.)
Soggetto topico Film, TV & radio
Soggetto non controllato innovation
creative design
creativity education
knowledge acquisition
teamwork
business cycle surveys
economic cycle
SMEs
open innovation
absorptive capacity
collaboration
joint research unit
exploitation
technological innovation
proactive innovation
reactive innovation
firm performance
manufacturing industry
contract length
firm innovation
agency cost theory
manufacturing firms
regional clusters
open innovation intermediary
innovation ecosystem
4th industrial revolution
innovation policy
biotechnology
agri-food sector
R&
D collaboration
bioeconomy
eco-innovation
inbound
outbound
customer relationship management (CRM)
relational capital (RC)
Yemeni SMEs
performance
market knowledge
multi-actor engagement
dynamic marketing engagement
business performance
use of e-commerce
manufacturing SMEs
organizational
environmental
industry 4.0
DWT-digital work transformation
servitization
networked innovation
SME innovation
push-pull strategies
family business
food industry
systematic literature review
structured survey
perspectives and trends
ISBN 3-0365-5781-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910637783603321
Leitão João  
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui