Data Mining basics
This document introduces the foundational concepts of data mining, including its objectives, process, and major functionalities like classification, clustering, association rule mining, and prediction. It also outlines the role of data preprocessing, types of data used, and real-world applications across domains such as business intelligence, healthcare, and marketing. Suitable for beginners and students in data science, computer science, or analytics courses.
Written for
- Institution
- DTC
- Course
- Data Mining
Document information
- Uploaded on
- July 12, 2025
- Number of pages
- 8
- Written in
- 2024/2025
- Type
- Class notes
- Professor(s)
- *
- Contains
- All classes
Subjects
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data mining basics
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