Data Mining

Uncovering Obscure Patterns

Data mining is the process of discovering patterns in large datasets that weren't explicitly looked for. This section covers association rules, anomaly detection, clustering, and text mining — the techniques used when the question isn't fully formed yet and the data itself has to suggest the answer

Anomaly Detection

intermediate

Finding the data points that don't belong — before they become a problem.

Association Rules

intermediate

People who buy X also tend to buy Y. Finding those patterns automatically.

Clustering

intermediate

Grouping similar things together when nobody told you what the groups were.

Text Mining

intermediate

Turning unstructured text into numbers you can actually analyze.

Chirp at me!