This repository contains lab exercises for the course IT160IU - Data Mining, taught by MSc. Nguyễn Quang Phú. The course provides an introduction to data mining concepts and techniques, focusing on extracting meaningful patterns and knowledge from large datasets. The labs involve practical exercises using the Weka tool, allowing students to apply data mining methods in real-world scenarios.
This repository includes six labs and a lab test from the third semester of the academic year 2023-2024.
The course utilizes Weka, an open-source data mining software that offers a collection of machine learning algorithms for data analysis and modeling.
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Clone the Repository
git clone https://github.com/ducdatit2002/IT160IU-Data-Mining.git cd IT160IU-Data-Mining -
Install Weka
Download and install Weka from the official Weka website. Ensure you have the latest version compatible with your operating system.
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Run Lab Exercises
Open Weka and navigate to the lab folders to access datasets and instructions. Each lab folder contains the necessary files and guidance to complete the exercises.
For any questions or assistance, please contact the lecturer:
- MSc. Nguyễn Quang Phú
We hope this repository serves as a valuable resource for learning data mining techniques. Happy learning!