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Explore our interactive dashboards to uncover insights on World Happiness, World University Rankings, and Social Media Usage and Emotional Well-Being
Mission
Mission
Our mission is to uncover valuable insights within large datasets by using association mining techniques. We aim to reveal meaningful connections in areas such as global well-being, education, and social media usage. Through clear visualizations and data analysis.
What are Association Mining Rules?
What are Association Mining Rules?
Association mining, or association rule mining, is a data mining method used to find relationships between items in large datasets. It helps identify items that frequently appear together.
The key elements of association mining are:
Support: Measures how often an item or group of items appears in the dataset. High support means they appear together frequently.
Confidence: Shows how likely it is to buy item B when item A is bought. High confidence suggests a strong link between items A and B.
Lift: Compares how often items A and B appear together with how often we'd expect them to if they were unrelated. A lift greater than 1 means items A and B are positively associated.
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