Class notes
Data Mining – Data Preprocessing
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12-07-2025
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This document provides a detailed overview of data preprocessing in the context of data mining. It explains key steps such as data cleaning, integration, transformation, and reduction, along with handling missing values, noise, and outliers. The content highlights the importance of preprocessing in improving the quality of mining results and includes examples from real-world datasets. Ideal for students and professionals in data science and analytics.
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Written for
- Institution
- DTC
- Course
- Data Mining
All documents for this subject (4)
Document information
- Uploaded on
- July 12, 2025
- Number of pages
- 17
- Written in
- 2024/2025
- Type
- Class notes
- Professor(s)
- *
- Contains
- All classes
Subjects
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data mining
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data preprocessing
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