/Data-Warehousing-and-Mining

Primary LanguagePython

Data Warehousing and Mining Experiments

This repository contains data warehousing and mining experiments performed in Python. The list of experiments is as follows:

  • Experiment 3: Detailed study of a Business Intelligence tool (e.g., XLMiner) and implementation of the Naive Bayes classifier.
  • Experiment 4: Implementation of the Decision Tree classifier.
  • Experiment 5: Implementation of the Agglomerative Hierarchical Clustering Algorithm.
  • Experiment 6: Implementation of Clustering algorithms (K-means/K-medoids).
  • Experiment 7: Implementation of the FP-Tree Algorithm.
  • Experiment 8: Implementation of Apriori Algorithm.
  • Experiment 10: Implementation of the Page Rank / HITS algorithm.