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  5. INTELLIGENT DATA ANALYSIS ON AN ANALYTICAL PLATFORM
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INTELLIGENT DATA ANALYSIS ON AN ANALYTICAL PLATFORM

Автор(ы)
Dauren Darkenbayev
Arshyn Altybay
Zhaidargul Darkenbayeva
Nurbapa Mekebayev
Дата публикации
31 марта 2024 г.
Тип
journal article
Издатель
Lublin University of Technology
Журнал
Informatyka Automatyka Pomiary w Gospodarce i Ochronie Środowiska
Том
14
Выпуск
1
Первая страница
119
Последняя страница
122
DOI
10.35784/iapgos.5423
ISSN
2083-0157
Аннотация
The article discusses methods for processing unstructured data using an analytical platform. The authors analyze existing methods and technologies used to implement data processing and propose new approaches to solving this problem. The possibilities of using analytical platforms to solve the problem of processing source data are considered. The purpose of the article is to explore the possibilities of data import, partial preprocessing, missing data recovery, anomaly removal, spectral processing and noise removal. The authors explored how analytics platforms can function without a data warehouse, obtaining information from any other sources, but the most optimal way is to use them together, and how big data and unstructured data can be processed using an analytics platform. The authors solved a specific problem related to processing problems and proposed ways to solve them using an analytical platform. Particular attention is paid to a complete set of mechanisms that allows you to obtain information from any data source, carry out the entire processing cycle and display the results. Overall, the paper represents an important contribution to the development of raw data processing technologies. The authors plan to continue research in the field of processing big unstructured data.
Темы

unstructured data pro...

analytical platforms

big data

data import

data preprocessing

missing data recovery...

anomaly removal

spectral data process...

noise reduction

multi-source data fus...

Области науки (FoS)

Decision Sciences

Information Systems a...

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Название

W4393355096.pdf

Описание
Полный текст в открытом доступе, лицензия cc-by; источник: https://ph.pollub.pl/index.php/iapgos/article/download/5423/4455
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1,05 MB

Формат

Adobe PDF

Контрольная сумма

(MD5):44008c3481bcbbb9572af760adf0c6f5

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