Anomaly detection can serve as an effective data mining technique for any analyst and non-analyst. This is the practice of tracking your data, and specifically looking for any outliers.

Outlier Detection: Techniques used to identify observations that deviate markedly from an overall pattern in the data. High-Dimensional Data: Datasets characterised by a large number of variables ...

Because of the very nature of an outlier event and, therefore, of an outlier detection technique, none of the strategies were immune from the false positives. At times, you have to work with the data ...

Isolation Forest detects anomalies by isolating observations. It builds binary trees (called iTrees) by recursively ...

Data mining is the process of transforming raw data into actionable information for business, typically using data mining software solutions. Written by eWEEK content and product recommendations ...