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portada Big Data Analytics for Cultural Heritage
Type
Physical Book
Publisher
Author
Language
English
Pages
210
Format
Hardcover
Dimensions
24.4x17x1.8 cm
Weight
0.65 kg.
ISBN13
9783036563268
Categories

Big Data Analytics for Cultural Heritage

Wallace, Manolis ; Poulopoulos, Vassilis ; Antoniou, Angeliki (Author) · Mdpi AG · Hardcover

Big Data Analytics for Cultural Heritage - Wallace, Manolis ; Poulopoulos, Vassilis ; Antoniou, Angeliki

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Synopsis "Big Data Analytics for Cultural Heritage "

In this edition, we focused on big data analytics methods and tools that have been specifically developed for the domain of cultural heritage, as well as on experiences from the adaptation and/or application of general-purpose solutions in the domain of cultural heritage. The aim was to gather solutions, but also to summarise the lessons learnt, methodologies, and good practices that researchers and practitioners can use as a basis for their own work in the domain.

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