Data mining
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This document discusses using data mining techniques like classification, clustering, and decision trees on teaching portfolio data collected from an online survey. It preprocesses the raw data, applies various classification algorithms, generates clustering and decision tree outputs, and discusses implementation issues and solutions.
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Data mining
- 1. Data Mining on Teaching Portfolio
- 2. Data From Online Survey
- 4. Class Attribute with binomial value
- 11. Clustering
- 13. Decision Tree of Dataset
- 14. This is Tree visualizer
- 16. Implementation Issue and Solution
- 17. Thank You