Compare data mining algorithms based on complexity, scalability, and accuracy. For example, decision trees are easy to understand but may struggle with large datasets.

Association rule mining (1, 2) in many research areas such as marketing, politics, and bioinformatics is an important task.One of its well-known applications is the market basket analysis. An example ...

Data Mining Examples Ayres cited online retailer Amazon.com's feature that tells a potential customer that people who like one particular product also like certain other items as an example of ...

We propose an efficient scalable algorithm for mining Maximal Sequential Patterns using Sampling (MSPS). The MSPS algorithm reduces much more search space than other algorithms because both the ...

Clustering is a type of data mining algorithm aimed at discovering hidden patterns in the data, and spatial clustering is an important type of it. Density-based spatial clustering of applications with ...