Keywords: interval-valued data, interval databases, user-defined data types, interval queries, analytical data processing, reliable calculations
CAST IRON GRADES CLASSIFICATION USING INTERVAL DATA LIBRARY
UDC 004.6
DOI: 10.26102/2310-6018/2019.24.1.012
The paper is devoted to the problem of the need to improve the efficiency of intervalvalued data processing in computers, complexes and computer networks and to reduce the time of its creation; search for methods to improve the reliability of the application software, the means of unifying its development. Interval-valued data library has been developed in order to solve these tasks. It implements a user-defined interval-valued type and basic operations on it which makes it possible to reuse a reliable and efficient data type which performs integrity checks in databases by default, removing this task from an application programmer, providing to operate with the boundaries of the intervals as with single objects speeding up the software development when organizing interval data bases and requesting to analytical processing. Solutions to support interval data types in database systems allow to solve a wide class of data analysis tasks operating with interval data, in particular, the clusterization of cast iron problem in the industrial reference information-analytical system.
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Keywords: interval-valued data, interval databases, user-defined data types, interval queries, analytical data processing, reliable calculations
For citation: Miroshnikov A.I. CAST IRON GRADES CLASSIFICATION USING INTERVAL DATA LIBRARY. Modeling, Optimization and Information Technology. 2019;7(1). URL: https://moit.vivt.ru/wp-content/uploads/2019/01/Miroshnikov_1_19_1.pdf DOI: 10.26102/2310-6018/2019.24.1.012 (In Russ).
Published 31.03.2019