Data Mining / Fall 2024
Updates
- New Lecture is up: Clustering Methods [slides]
- New Lecture is up: Classification with Naive Bayes [slides]
- New Lecture is up: Classification with Support Vector Machine [notes]
- New Assignment released: [Classification with Naives Bayes]
- New Assignment released: [Decision Tree Classification]
- New Lecture is up: Classification Decision Trees [slides]
- New Lecture is up: Data Similarity and Dissimilarity measures [notes]
Course Description
Data mining is the process of discovering patterns, trends, and insights from large datasets using statistical and computational techniques. It involves data cleaning, integration, selection, and transformation to prepare data for analysis. Techniques such as clustering, classification, regression, and association rule learning are applied to uncover hidden relationships within the data. The course emphasizes practical applications and the use of software tools for real-world data analysis.
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