Journals / Düzce Üniversitesi Bilim ve Teknoloji Dergisi / 2018 / Cilt: 6 - Sayı: 2

Open Source Data Mining Programs: A Case Study on R

Açık Kaynak Kodlu Veri Madenciliği Programları: R’da Örnek Uygulama

Pages
455–468
Publication Date
2022-10-12
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The R program has been chosen because it has a large preference rate among the users as shown by various graphs.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:The processes on the way from raw data to meaningful information is called data mining.
📊
Key Findings & Data:The data is processed by applying various methods of data mining in order to extract hidden information among raw data.
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Conclusion & Impact:The R program has been chosen because it has a large preference rate among the users as shown by various graphs.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

The processes on the way from raw data to meaningful information is called data mining. The data is processed by applying various methods of data mining in order to extract hidden information among raw data. The processed raw data becomes usable in the next steps of data mining. There are many open source and commercial applications to be used in data mining and data processing. In this study, information about data mining programs are given, and a case study on the R program. The R program has been chosen because it has a large preference rate among the users as shown by various graphs.

Özet

Ham verilerden anlamlı bilgilere geçiş sürecine veri madenciliği denir. Veri, ham veriler arasında gizli bilgileri çıkarmak için çeşitli veri madenciliği yöntemleri uygulanarak işlenir. İşlenmiş ham veriler, veri madenciliğinin bir sonraki aşamasında kullanılabilir hale gelir. Veri madenciliği ve veri işlemede kullanılmak üzere birçok açık kaynak ve ticari uygulama vardır. Bu çalışmada veri madenciliği programları hakkında bilgi verilmiş ve R programı üzerinde bir vaka çalışması sunulmuştur. R programı, çeşitli grafiklerle de gösterildiği üzere kullanıcılar arasında büyük bir tercih oranına sahip olması dolayısıyla seçilmiştir.

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Cite This Article

BAŞARSLAN, M. S., KAYAALP, F. (2022). Open Source Data Mining Programs: A Case Study on R. Düzce Üniversitesi Bilim ve Teknoloji Dergisi, Cilt: 6 - Sayı: 2, 455–468. https://ajindex.com/articles/494488

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