K-means 클러스터링을 이용한 압축 기반 이상탐지

01 Aug 2012

This study presents a new method for storing large log data, and simultaneously, detecting anomaly data. To achieve this, the well-known K-means clustering algorithm is used for the anomaly detection. In K-means algorithm, the dissimilarity between data is calculated on the space transformed by the Logpack compression algorithm. We also...