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22. Smallholders and small-scale agricultureTomaž Bartol, 2023, izvirni znanstveni članek Ključne besede: smallholder agriculture, science mapping, bibliometrics, visualization, climate change, food security, social issues, agriculture, environmental sciences, environmental studies, computer graphics, computer visualization, data preparation, data mining, development studies, environment, the developing world, regional geography, human geography, rural studies, information technology, research librarianship Celotno besedilo (datoteka, 11,28 MB) Gradivo ima več datotek! Več... |
23. Open data and quantitative techniques for anthropology of road trafficAjda Pretnar Žagar, Tomaž Hočevar, Tomaž Curk, 2023, izvirni znanstveni članek Ključne besede: computational anthropology, road traffic, data mining, open data, quantitative analysis, travel habits, road traffic counters, road traffic flows Celotno besedilo (datoteka, 2,21 MB) Gradivo ima več datotek! Več... |
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25. Data embedding and fusion by tropical matrix factorizationAmra Omanović, 2023, doktorska disertacija Ključne besede: data mining, data embedding, matrix factorization, tropical factorization, subtropical semiring, tropical semiring, sparse data, matrix completion Celotno besedilo (datoteka, 23,72 MB) |
26. The crowding out of conventional electricity generation by renewable energy sourcesMarko Halužan, Miroslav Verbič, Jelena Zorić, 2023, izvirni znanstveni članek Ključne besede: Greece, Hungary, Rumania, electroenergetics, sustainable development, renewable energy sources, merit order efect, data mining, day-ahead electricity prices, Central and South East Europe Celotno besedilo (datoteka, 1,70 MB) Gradivo ima več datotek! Več... |
27. Analysis of effects of EU competition law reform on stock market pricesFrance Ocepek, 2023, doktorska disertacija Ključne besede: EU, competition law, capital market, shares, price, monopolies, control, data mining, fraud, sanctions, analysis Celotno besedilo (povezava drugam) |
28. Process mining in the German public sectorSobiah Abdullah, 2023, magistrsko delo Ključne besede: Germany, public sector, business model, business process, optimization, improvements, information technology, data mining Celotno besedilo (datoteka, 3,43 MB) |