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Union catalogues
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Portela, Filipe
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Year
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Data Science and Knowledge Discovery
Contributor:
Portela, Filipe
(Herausgeber)
Published:
2022
Publisher: MDPI - Multidisciplinary Digital Publishing Institute, Basel
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Aachen: Hochschulbibliothek der Fachhochschule Aachen
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Hochschulbibliothek der Fachhochschule Aachen
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Aachen: Universitätsbibliothek der RWTH Aachen
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Universitätsbibliothek der RWTH Aachen
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Evangelische Hochschule Rheinland-Westfalen-Lippe, Bibliothek
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Ruhr-Universität Bochum, Universitätsbibliothek
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Technische Hochschule Georg Agricola, Hochschulbibliothek
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Source:
Union catalogues
Contributor:
Portela, Filipe
(Herausgeber)
Language:
0|e
Media type:
Ebook
Format:
Online
ISBN:
9783036543154
Subjects:
Information technology industries
;
Computer science
Other subjects:
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
;
n/a
Scope:
1 electronic resource (254 pages)