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  1. Data Science and Knowledge Discovery
    Contributor: Portela, Filipe (Herausgeber)
    Published: 2022
    Publisher:  MDPI - Multidisciplinary Digital Publishing Institute, Basel

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    Source: Union catalogues
    Contributor: Portela, Filipe (Herausgeber)
    Language: Undetermined
    Media type: Ebook
    Format: Online
    ISBN: 9783036543154
    Other identifier:
    10.3390/books978-3-0365-4315-4
    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; Information technology industries; Computer science
    Scope: 1 electronic resource (254 pages)