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Abstract: The field of knowledge graphs, which allows us to model, process, and derive insights from complex real-world data, has emerged as an active and interdisciplinary area of artificial intelligence over the last decade, drawing on such fields as natural language processing, data mining, and the semantic web. Current projects involve predicting cyberattacks, recommending products, and even gleaning insights from thousands of papers on COVID-19. This textbook offers rigorous and comprehensi ...; [Read more...] The field of knowledge graphs, which allows us to model, process, and derive insights from complex real-world data, has emerged as an active and interdisciplinary area of artificial intelligence over the last decade, drawing on such fields as natural language processing, data mining, and the semantic web. Current projects involve predicting cyberattacks, recommending products, and even gleaning insights from thousands of papers on COVID-19. This textbook offers rigorous and comprehensive coverage of the field. It focuses systematically on the major approaches, both those that have stood the test of time and the latest deep learning methods.

Abstract: Objectives and strategy - The data - Single-equation analysis - Theory of the multiple-equation model - Experiments with the multiple-equation model - Results of the multiple-equation analysis - Results of the residuals analysis - Simulation of promotional effects - Appendices.

Abstract: ANALISI DELLA DOMANDA AGGREGATA DI ENERGIA PRIMARIA DEGLI STATI UNITI NEL BREVE E NEL LUNGO PERIODO.