02855nam 2200433 450 991064723010332120230323165946.03-0365-6327-X(CKB)5680000000300044(NjHacI)995680000000300044(EXLCZ)99568000000030004420230323d2023 uy 0engur|||||||||||txtrdacontentcrdamediacrrdacarrierBig Data Analytics for Cultural Heritage /by Manolis Wallace, Vassilis Poulopoulos, Angeliki Antoniou (editors)[Place of publication not identified] :MDPI - Multidisciplinary Digital Publishing Institute,2023.1 online resource (210 pages)3-0365-6326-1 About the Editors vii -- An Overview of Big Data Analytics for Cultural Heritage 1 -- A Semantic Mixed Reality Framework for Shared Cultural Experiences Ecosystems 3 -- Hydria: An Online Data Lake for Multi-Faceted Analytics in the Cultural Heritage Domain 25 -- Data-Assisted Persona Construction Using Social Media Data 53 -- A Personalized Heritage-Oriented Recommender System Based on Extended Cultural Tourist Typologies 67 -- ACUX Recommender: A Mobile Recommendation System for Multi-Profile Cultural Visitors Based on Visiting Preferences Classification 85 -- Big Data Analytics for Search Engine Optimization 97 -- Using Big and Open Data to Generate Content for an Educational Game to Increase Student Performance and Interest 119 -- Annotation-Assisted Clustering of Player Profiles in Cultural Games: A Case for Tensor Analytics in Julia 139 -- Networks and Stories. Analyzing the Transmission of the Feminist Intangible Cultural Heritage on Twitter 163 -- Digital Technologies and the Role of Data in Cultural Heritage: The Past, the Present, and the Future 181.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.Data miningManagementData processingBig dataData mining.ManagementData processing.Big data.658/.05631Wallace ManolisPoulopoulos VassilisAntoniou AngelikiNjHacINjHaclBOOK9910647230103321Big Data Analytics for Cultural Heritage3017830UNINA02268nam0 2200445 i 450 CFI048726120251003044142.08823806291IT2000-12685 20130827d2000 ||||0itac50 baitaitz01i xxxe z01nz01ncRDAcarrierˆL'‰osservatorio turisticoobiettivi, metodologie, strumentia cura di Magda Antonioli CoriglianoMilanoEGEA 2000!271 p.24 cm.Biblioteca dell'economia d'azienda72001CFI01285672001 Biblioteca dell'economia d'azienda72TurismoRicerche di mercatoFIRCFIC043550IAziende turisticheSistemi informativiFIRCFIC116589I338.4Produzione. Industrie secondarie e servizi14338.47910688BENI E SERVIZI. Turismo. Gestione del marketing21Inchieste di mercatoIndagini di mercatoSondaggi di mercatoAnalisi di mercatoImprese turisticheCompagnie turisticheRicerche di mercatoInchieste di mercatoRicerche di mercatoIndagini di mercatoRicerche di mercatoSondaggi di mercatoRicerche di mercatoAnalisi di mercatoAziende turisticheImprese turisticheAziende turisticheCompagnie turisticheITIT-00000020130827IT-BN0095 NAP 01POZZO LIB.Vi sono collocati fondi di economia, periodici di ingegneria e scienze, periodici di economia e statistica e altri fondi comprendenti documenti di economia pervenuti in dono. CFI0487261Biblioteca Centralizzata di Ateneo1 v. in due copie 01POZZO LIB.ECON MON 232 0101 0000024695E VMA (bis 1 v. (2. copia) precedente collocazione sez. DASES B 520(bisB 20081008200810081 v. in due copie 01POZZO LIB.ECON MON 232 0101 0000009575E VMA 1 v. precedente collocazione sez. DASES B 520B 2008091520080915 01Osservatorio turistico63582UNISANNIO