Guidelines for laboratory work on the topic "Data Preprocessing in WEKA"

dc.contributor.author	Yangolenko, Olga
dc.contributor.author	Ivaschenko, Oksana
dc.contributor.author	Melnyk, Karina
dc.contributor.author	Yershova, Svetlana
dc.contributor.author	Lutenko, Irina
dc.date.accessioned	2025-01-24T07:59:29Z
dc.date.issued	2024
dc.description.abstract	Aim: To gain a comprehensive understanding of the importance and techniques of data preprocessing in data mining and machine learning.by using Weka (bank-data.csv). Tools/ Apparatus: Weka preprocessing tool.
dc.identifier.citation	Guidelines for laboratory work on the topic "Data Preprocessing in WEKA" [Electronic resource] : for students of spec. 121 "Software engineering", 122 "Computer science" / comp.: Yangolenko Olga, Ivaschenko Oksana, Melnyk Karina, Yershova Svetlana, Lutenko Irina ; National Technical University "Kharkiv Polytechnic Institute". – Electronic text data. – Kharkiv, 2024. – 26 p. – URI: https://repository.kpi.kharkov.ua/handle/KhPI-Press/85548
dc.identifier.uri	https://repository.kpi.kharkov.ua/handle/KhPI-Press/85548
dc.language.iso	en
dc.publisher	Національний технічний університет "Харківський політехнічний інститут"
dc.subject	guidelines
dc.subject	laboratory work
dc.subject	data preprocessing
dc.subject	WEKA
dc.subject	machine learning
dc.subject	data mining
dc.title	Guidelines for laboratory work on the topic "Data Preprocessing in WEKA"
dc.type	Learning Object

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