Data Mining: Introduction
Beginner · 2 Learners enrolled . Created by
Beginner · 2 Learners enrolled . Created by
Process: Often referred to as Knowledge Discovery in Databases (KDD), it involves cleaning, integration, selection, transformation, pattern mining, evaluation, and visualization.
Techniques: Common methods include classification (assigning categories), clustering (identifying groups), regression (predicting values), and association rule learning (finding associations).
Applications: Used for customer churn analysis, fraud detection, targeted marketing, market basket analysis, and scientific research.
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ClintAnish PatilBatch Name : DATA-MINING BATCH:19_FEB_2026 Sample testing |
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ClientoneAnish KulkarniBatch Name : DATA-MINING BATCH:19_FEB_2026 TEST |
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Rahul ShididBatch Name : DATA-Structure BATCH:22_FEB_2026
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