데이터 마이닝의 분류화와 연관 규칙을 이용한 네트워크 트래픽 분석 = Analysis of Network Traffic using Classification and Association Rule

다국어 초록 (Multilingual Abstract)

As recently the network environment and application services have been more complex and diverse, there has. In this paper we introduce a scheme the extract useful information for network management by analyzing traffic data in user login file. For this purpose we use classification and association rule based on episode concept in data mining. Since login data has inherently time series characterization, convertible data mining algorithms cannot directly applied. We generate virtual transaction, classify transactions above threshold value in time window, and simulate the classification algorithm.