パタンマイニングを用いた例外ツイートの検出実験

抄録

Recently, anomaly detection attracts much attention. In this paper, to verify the validity of various exception criteria based on pattern mining techniques for social media data, we conduct preliminary experiments of mining outliers from three real world tweet datasets. The results show significant difference between pattern-based and rule-based measures.