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All Journal Prosiding Seminar Nasional Rekayasa Teknologi Industri dan Informasi ReTII
Mashita Kustyani
Universitas Pembangunan Nasional “Veteran” Jawa Timur
Aerospace Engineering Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Physics Transportation

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Exploratory Data Analysis dalam Konteks Klasifikasi Data Mining Eka Dyar Wahyuni; Amalia Anjani Arifiyanti; Mashita Kustyani
Retii Prosiding Seminar Nasional ReTII Ke-14 2019
Publisher : Institut Teknologi Nasional Yogyakarta

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Abstract

Each type of data has various forms and behaviors. Therefore, the process of data analysis cannot be standardized through a certain procedure. EDA is a data analysis approach that can be used in interpreting the information contained in data. EDA is flexible in adjusting data behavior and can be used for data observation through various points of view. This data analysis strategy can be used to complement the results of data mining classification analysis used to recognize data patterns. In this article it will be explained that EDA can help in enriching the results of data analysis and assist in the pre-processing stages of data mining classification. Data mining classification is done using the Naive Bayes Classifier algorithm and Logistic Regression.
Co-Authors Amalia Anjani Arifiyanti Wahyuni, Eka Dyar