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    Wyświetlanie 1-5 z 5
    Tytuł:
    Zbiory Big Data oraz technologia chmury obliczeniowej dla humanistyki cyfrowej
    Big Data Sets and the Cloud Computing Technology for Digital Humanities
    Autorzy:
    Grabowska, Marta
    Powiązania:
    https://bibliotekanauki.pl/articles/558149.pdf
    Data publikacji:
    2017
    Wydawca:
    Uniwersytet Warszawski. Centrum Europejskie
    Tematy:
    Digital Humanities,
    Cloud Computing Technology,
    Big Data Sets
    Opis:
    The main aim of the paper is to draw a concept of sets of Big Data which occur in the sphere of digital humanities, to describe new IT tools applied for its analysis and the conditions of its usage in the environment of the cloud computing technology. The technological development, which took place in the recent years in the fi eld of information and communications technologies (ICT), especially the change in the way of governing of data in relation to the development of the cloud computing technology enables nowadays gathering unimaginable amount of data (Big Data sets) being created in various spheres of human and machine world. The definition and the origin of development of such sets of data are presented in the paper as well as the construction of the ecosystem of the cloud computing technology in which Big Data sets are gathered and processed is described. Big data sets are reach sources of new information. Advanced IT analytical tools are applied to investigate its content in order to obtain a new knowledge. In the paper the emphasize is on sets of Big Data gathered within the digital humanities area and chosen examples of IT analytical tools currently applied for these purposes are described. Also, the conditions related to the usage of such new information infrastructure in relation to digital humanities are highlited.
    Źródło:
    Studia Europejskie - Studies in European Affairs; 2017, 3; 195-213
    1428-149X
    2719-3780
    Pojawia się w:
    Studia Europejskie - Studies in European Affairs
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Challenges Related to Identifying Sources and Document Collection for Big Data Analyses
    Autorzy:
    Gmiterek, Grzegorz
    Powiązania:
    https://bibliotekanauki.pl/articles/426401.pdf
    Data publikacji:
    2019
    Wydawca:
    Szkoła Główna Handlowa w Warszawie
    Tematy:
    big data
    data management
    trend watching
    information science
    data sets exploration
    Opis:
    The modern information environment is dynamic and characterized by the speed with which multimedia content is created, collected, contributed to and shared. Users have access to documents which are part of large, changing and diverse sets of data, whose effective processing can lead, and frequently does lead, to new knowledge being discovered. However, the overwhelming majority of the resources available today require specialized tools and techniques for identifying, searching, collecting and organizing the large volumes of data. This also applies to data directly related to the activities of institutions dealing in information or the field of information science, especially the theory and practice of accessing, searching and collecting documents. The purpose of this article is to present selected issues and challenges related to exploring the possibilities offered by big data from the perspective of information science, the activities of libraries and the information resources they offer. Based on a critical analysis of the relevant literature and with use of inductive reasoning, experiments and observations, selected aspects of digital document accessibility and classification are presented, in addition to issues related to searching and identifying resources using tools currently offered by libraries (in particular discovery systems).
    Źródło:
    e-mentor. Czasopismo naukowe Szkoły Głównej Handlowej w Warszawie; 2019, 3 (80); 4-9
    1731-6758
    1731-7428
    Pojawia się w:
    e-mentor. Czasopismo naukowe Szkoły Głównej Handlowej w Warszawie
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Przetwarzanie informacji i danych osobowych w rolnictwie w ramach Big Data
    Autorzy:
    Cezary, Zapała,
    Powiązania:
    https://bibliotekanauki.pl/articles/902424.pdf
    Data publikacji:
    2019-06-04
    Wydawca:
    Uniwersytet Warszawski. Wydawnictwa Uniwersytetu Warszawskiego
    Tematy:
    personal data protection
    agricultural data
    big data
    information processing in large data sets
    risk in information processing
    ochrona danych osobowych
    dane rolnicze
    Big Data
    przetwarzanie informacji w dużych zbiorach danych
    ryzyko w przetwarzaniu informacji
    Opis:
    With the development of IT tools and systems, as well as the free transfer, reception, processing and collection of data, the enormous possibilities offered by the analysis of the collected data have been discovered. The agrarian industry is also under the influence of new technologies, which change the existing mechanisms. The use of ICT (Information and Communication Technologies) tools combined with large data sets and the possibility of creating processes and analysis of these data by appropriate software and hardware creates great opportunities for effective shaping of the agrarian industry. Processing agricultural data within Big Data is also associated with risks. The aim of the paper is to present the functioning of new technologies in agriculture, with particular emphasis on information processing in large data sets and to analyse the risks associated with the use of information and personal data in agriculture and to discuss the regulations that reduce these risks.
    Źródło:
    Studia Iuridica; 2018, 78; 517-533
    0137-4346
    Pojawia się w:
    Studia Iuridica
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Applications of rough sets in big data analysis: An overview
    Autorzy:
    Pięta, Piotr
    Szmuc, Tomasz
    Powiązania:
    https://bibliotekanauki.pl/articles/2055175.pdf
    Data publikacji:
    2021
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Tematy:
    rough sets theory
    big data analysis
    deep learning
    data mining
    teoria zbiorów przybliżonych
    duży zbiór danych
    uczenie głębokie
    eksploracja danych
    Opis:
    Big data, artificial intelligence and the Internet of things (IoT) are still very popular areas in current research and industrial applications. Processing massive amounts of data generated by the IoT and stored in distributed space is not a straightforward task and may cause many problems. During the last few decades, scientists have proposed many interesting approaches to extract information and discover knowledge from data collected in database systems or other sources. We observe a permanent development of machine learning algorithms that support each phase of the data mining process, ensuring achievement of better results than before. Rough set theory (RST) delivers a formal insight into information, knowledge, data reduction, uncertainty, and missing values. This formalism, formulated in the 1980s and developed by several researches, can serve as a theoretical basis and practical background for dealing with ambiguities, data reduction, building ontologies, etc. Moreover, as a mature theory, it has evolved into numerous extensions and has been transformed through various incarnations, which have enriched expressiveness and applicability of the related tools. The main aim of this article is to present an overview of selected applications of RST in big data analysis and processing. Thousands of publications on rough sets have been contributed; therefore, we focus on papers published in the last few years. The applications of RST are considered from two main perspectives: direct use of the RST concepts and tools, and jointly with other approaches, i.e., fuzzy sets, probabilistic concepts, and deep learning. The latter hybrid idea seems to be very promising for developing new methods and related tools as well as extensions of the application area.
    Źródło:
    International Journal of Applied Mathematics and Computer Science; 2021, 31, 4; 659--683
    1641-876X
    2083-8492
    Pojawia się w:
    International Journal of Applied Mathematics and Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Big Data – szanse i zagrożenia
    Big Data – chances and threats
    Autorzy:
    RACZYŃSKA, Maria
    Powiązania:
    https://bibliotekanauki.pl/articles/455965.pdf
    Data publikacji:
    2013
    Wydawca:
    Uniwersytet Rzeszowski
    Tematy:
    duże ilości danych
    zbiory danych
    uporządkowanie danych
    przetwarzanie w chmurze
    prywatność człowieka
    big data
    sets of data
    cloud computing
    privacy
    human
    Opis:
    W artykule przedstawione zostały różne aspekty zjawiska Big Data. Ukazany został wpływ technologii informacyjnej na analizę różnorodnych dostępnych w ogromnych ilościach zbiorów danych, często w czasie rzeczywistym. Przedstawione zostały przykłady wykorzystania Big Data. Zwrócona została także uwaga na kwestie, które wymagają badań w cyfrowym świecie danych.
    The article presents the different aspects of phenomenon of Big Data. It shows is effect information technology on the analysis of various available in huge amounts of data sets in real time. Presented are examples of Big Data. The return was a note on the issues that require research data in the digital world.
    Źródło:
    Edukacja-Technika-Informatyka; 2013, 4, 2; 29-37
    2080-9069
    Pojawia się w:
    Edukacja-Technika-Informatyka
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-5 z 5

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