Opis

• Tytuł:
  Extracting class diagram from hidden dependencies in data set
• Twórca:
  Hnatkowska, Bogumiła;
  Huzar, Zbigniew;
  Tuzinkiewicz, Lech
• Opis:
  A conceptual model is a high-level, graphical representation of a specic do-main, presenting its key concepts and relationships between them. In particular, these dependencies can be inferred from concepts' instances being a part of big raw data les. The paper aims to propose a method for constructing a conceptual model from data frames encompassed in data les. The result is presented in the form of a class diagram. The method is explained with several examples and veried by a case study in which the real data sets are processed. It can also be applied for checking the quality of the data set.
• Dostępność obiektu:
  Dostęp otwarty
• Prawa:
  Copyright (c) 2020 Computer Science
• Data:
  2020.04.24
• Typ:
  info:eu-repo/semantics/article;
  info:eu-repo/semantics/publishedVersion
• Język:
  angielski
• Źródło:
  2300-7036;
  1508-2806
• Format:
  application/pdf
• Wydawca:
  AGH University of Krakow, Faculty of Computer Science
• Relacja: https://journals.agh.edu.pl/csci/article/view/3483/2455
• Temat i słowa kluczowe:
  conceptual model;
  class diagram;
  UML;
  data retrieval;
  raw data;
  csv 2019/10/28;
  Data mining;
  information retrieval
• Identyfikator: https://journals.agh.edu.pl/csci/article/view/3483 ;
  10.7494/csci.2020.21.2.3483
• Dostawca danych:
  AGH University of Science and Technology Journals
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