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Data Mining and Warehousing Syllabus by shubham is a document available to read on EtoBox.

This course covers concepts of data warehousing and data mining. It has 6 units that cover topics like data warehousing modeling, data mining tasks and algorithms, data preprocessing, association analysis using Apriori and FP-Growth algorithms, clustering algorithms like k-means and hierarchical clustering, and classification techniques including naive Bayes, decision trees, and neural networks. The goal is for students to understand data warehousing concepts, explore various data mining approaches, and get

Author
shubham
Language
EN