INDECISION PROCESSING IN BIG DATA
DOI:
https://doi.org/10.15588/1607-3274-2014-1-14Keywords:
big data, information product, uncertainnessAbstract
This paper introduced the concept of the term Big Data and analyzes the cause of their appearance. Thus, the specificity of Big data (the presence of diverse set of sources, data doubling, ambiguity describing data sources) leads to the fact that the indeterminacy in traditional relational databases considered within a relationship and could occur at the level of attribute and tuple-level attitude in this case extends through the perception of the user information on the entire data space. Therefore, for processing indeterminacy in the Big data must use a different approach, the need for the use of which has not had in relational databases and data warehouses. There is the level of uncertainty in the Big Data show. There are formed data warehouse model with uncertainty and developed operations on it. There is posted forming unit method, taking into account uncertainty.References
Шаховська, Н. Б. Аналіз методів опрацювання показників соціо-еколого-економічного розвитку регіону / Н. Б. Шаховська, Ю. Я. Болюбаш // Східно-європейський журнал передових технологій. – 2013. – Том 5, № 2(65). – С. 4–8.
Заде, Л. Понятие лингвистической переменной и его применение к принятию приближенных решений / Л. Заде. – М. : Мир, 1976. – 166 с.
Цельмер, Г. Учет риска при принятии управленческих решений/ Г. Цельмер // Проблемы МСНТИ. – 1980. – № 3. – С. 94–105.
Найт, Ф. Х. Риск, неопределенность и прибыль / Ф. Х. Найт. – М. : Дело, 2003. – 358 с.
Моисеев, Н. Н. Элементы теории оптимальных систем / Н. Н. Моисеев. – М. : Наука, 1975. – 528 с.
Трухачев, Р. И. Модели принятия решений в условиях неопределенности / Р. И. Трухачев. – М. : Наука, 1981. – 151 c.
Згуровський, М. З. Основи системного аналiзу / М. З. Згуровський, Н. Д. Панкратова. – К. : Видавнича група BHV, 2007. – 544 с.
Шаховська, Н. Б. Моделювання невизначеностей у сховищах даних реляційного типу. – Львів, 2007. – автореферат дис. на здобуття канд. техн. наук
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Copyright (c) 2014 N. Shakhovska, Yu. Bolubash
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