04809nam 2201201z- 450 991057687810332120231214133138.0(CKB)5720000000008394(oapen)https://directory.doabooks.org/handle/20.500.12854/84521(EXLCZ)99572000000000839420202206d2022 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierData Science and Knowledge DiscoveryBaselMDPI - Multidisciplinary Digital Publishing Institute20221 electronic resource (254 p.)3-0365-4316-3 3-0365-4315-5 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.Information technology industriesbicsscComputer sciencebicssccrisis reportingchatbotsjournalistsnews mediaCOVID-19textbook researchdigital humanitiesdigital infrastructuresdata analysiscontent base image retrievalsemantic information retrievaldeep featuresmultimedia document retrievaldata scienceopen government datagovernance and social institutionseconomic determinants of open datageoinformation technologyfractal dimensionterritorial road networkbox-counting frameworkscript PythonArcGISinternet of thingsLoRaWANICTThe Things NetworkESP32 microcontrollerdecision systemsrule based systemsdatabasesrough setsprediction by partial matchingspatio-temporalactivity recognitionsmart homesartificial intelligenceautomatione-commercemachine learningbig datacustomer relationship management (CRM)distracted drivingdriving behaviordriving operation areadata augmentationfeature extractionauthorshiptext miningattributionneural networksdeep learningforensic intelligencedashboardWebGISdata analyticsSARS-CoV-2Big DataWeb Intelligencemedia analyticssocial scienceshumanitieslinked open dataadaptation processinterdisciplinary researchmedia criticismclassificationinformation systemspublic healthdata miningioCOVID19Information technology industriesComputer sciencePortela Filipeedt1268012Portela FilipeothBOOK9910576878103321Data Science and Knowledge Discovery3021749UNINA