Data Science and Knowledge Discovery
Data Science (DS) is gaining significant importance in the decision process due to a mix of various areas, including Computer Science, Machine Learning, Math and Statistics, domain/business knowledge, software development, and traditional research. In the business field, DS's application allows...
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Year of Publication: | 2022 |
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Physical Description: | 1 electronic resource (254 p.) |
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Portela, Filipe edt Data Science and Knowledge Discovery Basel MDPI - Multidisciplinary Digital Publishing Institute 2022 1 electronic resource (254 p.) text txt rdacontent computer c rdamedia online resource cr rdacarrier Data Science (DS) is gaining significant importance in the decision process due to a mix of various areas, including Computer Science, Machine Learning, Math and Statistics, domain/business knowledge, software development, and traditional research. In the business field, DS's application allows using scientific methods, processes, algorithms, and systems to extract knowledge and insights from structured and unstructured data to support the decision process. After collecting the data, it is crucial to discover the knowledge. In this step, Knowledge Discovery (KD) tasks are used to create knowledge from structured and unstructured sources (e.g., text, data, and images). The output needs to be in a readable and interpretable format. It must represent knowledge in a manner that facilitates inferencing. KD is applied in several areas, such as education, health, accounting, energy, and public administration. This book includes fourteen excellent articles which discuss this trending topic and present innovative solutions to show the importance of Data Science and Knowledge Discovery to researchers, managers, industry, society, and other communities. The chapters address several topics like Data mining, Deep Learning, Data Visualization and Analytics, Semantic data, Geospatial and Spatio-Temporal Data, Data Augmentation and Text Mining. English Information technology industries bicssc Computer science bicssc 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 3-0365-4316-3 3-0365-4315-5 Portela, Filipe oth |
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English |
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Portela, Filipe |
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Portela, Filipe |
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Data Science and Knowledge Discovery |
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Data Science and Knowledge Discovery |
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Data Science and Knowledge Discovery |
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Data Science and Knowledge Discovery |
title_full_unstemmed |
Data Science and Knowledge Discovery |
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Data Science and Knowledge Discovery |
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Data Science and Knowledge Discovery |
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data science and knowledge discovery |
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MDPI - Multidisciplinary Digital Publishing Institute |
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2022 |
physical |
1 electronic resource (254 p.) |
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3-0365-4316-3 3-0365-4315-5 |
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AT portelafilipe datascienceandknowledgediscovery |
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(CKB)5720000000008394 (oapen)https://directory.doabooks.org/handle/20.500.12854/84521 (EXLCZ)995720000000008394 |
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