An Approach to Outlier Detection of Software Measurement Data using the K-means Clustering Method.
Kyung-A YoonOh-Sung KwonDoo-Hwan BaePublished in: ESEM (2007)
Keyphrases
- outlier detection
- measurement data
- fraud detection
- knowledge discovery
- detection algorithm
- detecting outliers
- high dimensional datasets
- detect outliers
- credit card fraud detection
- density ratio estimation
- data streams
- data mining
- data sets
- density estimation
- computer vision
- density based clustering
- outlier mining
- distance based outlier detection
- expert knowledge
- anomaly detection
- active learning
- neural network