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type: Thesis
acceptance date: 2023-01-12
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description: W niniejszej pracy zbadano różne aspekty wydobywania wiedzy z dużych zbiorów danych dostępnych na portalach internetowych takich jak GUS, Bank Danych Lokalnych, Eurostat oraz ITU - przy zastosowaniu zaawansowanych i zmodyfikowanych technik statystycznych. Wskaźniki rozwoju społeczeństwa informacyjnego poddano estymacji za pomocą różnych modeli matematycznych i uzyskano wieloletnie prognozy. Określono wrażliwość aproksymacji i prognozy procesów penetracji społecznej różnych usług technik informacyjnych za pomocą kilku klas modeli matematycznych. Opisano maksymalne prędkości roczne - tempa penetracji społecznej technik informacyjnych oraz analizę rocznych przyrostów takich wskaźników, które nie były badane przedtem. Przedstawiono okresy opóźnień, bądź wyprzedzeń, w rozwoju społeczeństwa informacyjnego, mierzone danym wskaźnikiem. Podano korelację wzajemną różnych wskaźników penetracji technik informacyjnych oraz rozwoju ekonomicznego, z zastosowaniem pojęcia funkcji korelacji wzajemnej stosowanej dość powszechnie w telekomunikacji, ale prawie nie stosowanej w statystyce ekonomiczno-społecznej. Sporządzono wielokryterialny ranking w analizie rozwoju społeczeństwa informacyjnego w różnych państwach i regionach, z zastosowaniem metody t.zw. rankingu obiektywnego Zaproponowano nową metodę estymacji i prognozy zjawiska wykluczenia cyfrowego. Badania przeprowadzono dla danych w różnej skali: kraj, regiony dla danych Eurostatu oraz Polska, regiony, województwa, podregiony i powiaty w odniesieniu do danych GUS. Innowacyjność pracy polega na zastosowaniu zaawansowanych bądź zmodyfikowanych metod statystycznych oraz określeniu metod dotychczas niestosowanych w analizie rozwoju społeczeństwa informacyjnego. Zbadano trzy modele matematyczne penetracji społecznej nowych technik. Zastosowano nieco bardziej dokładną interpretację różnorodnych wskaźników rozwoju społeczeństwa informacyjnego, prowadzącą do nowych podejść, jak nowa metoda estymacji wykluczenia cyfrowego.
destination group: naukowcy
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language: Polski
number of pages: 183
origin: AZON2
place of creation: Warszawa
scientific discipline: dziedzina nauk społecznych / nauki o polityce publicznej (2011)
supervisor: http://id.e-science.pl/vocab/person/17472
title: Zastosowanie zaawansowanych metod statystycznych do badania rozwoju społeczeństwa informacyjnego w Polsce traktowanej jako system regionów (PD-2013-04)

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