A new important tool in the field of intelligent data analysis Cover Image

Об одном новом важном инструменте в области интеллектуального анализа данных
A new important tool in the field of intelligent data analysis

Author(s): Joseph Dzhun
Subject(s): Library and Information Science, Electronic information storage and retrieval
Published by: Wydawnictwo Wyższej Szkoły Gospodarki Euroregionalnej im. Alcide De Gasperi w Józefowie
Keywords: non-classical theory of errors measurement; data mining

Summary/Abstract: The new original methods of statistical information processing are used in astrometry and space exploration for many years. It was turned out that these methods have universal character and can be successfully applied in various spheres and it was showed by testing these methods, which were conducted by the department of mathematical modeling of IUEH for 15 years. After testing all these methods were combined in the new “Nonclassical theory of errors measurement” (NTEM) published in 2015. The objective of research: To acquaint the specialists in the fi eld of statistical information mathematical processing and analysis with the objects and opportunities of NTEM and its fundamental regulations because knowledge and usage of which are the most important in our time. As the result signifi cance of the NTEM procedures in the complex of methods that make up the data mining. Methods: The statistical methods which demonstrate adequacy of the methods used by us in practice of observation are considered in the “Nonclassical Theory of Errors Measurement”. Conclusion: NTEM is the new, important and effective tool in the fi eld of mining large amounts of statistical data, particularly in mathematical modeling, its diagnosis and processing of samples, the volume of which n/500.

  • Issue Year: 1/2017
  • Issue No: 2
  • Page Range: 162-175
  • Page Count: 14
  • Language: Russian