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Clustering Analysis in Data Mining by hamsalu bekana is a document available to read on EtoBox.
What is Clustering Analysis in Data Mining about?
The document discusses clustering and association rule mining as key techniques in data mining, highlighting their definitions, methodologies, and applications across various fields such as marketing, biology, and fraud detection. Clustering involves grouping similar data points using algorithms, while association rule mining uncovers relationships between variables in large datasets. Both techniques are essential for data segmentation and decision-making in business strategies.
- Author
- hamsalu bekana
- Language
- EN