Jun’ichi Takeuchi

On-Line Unsupervised Outlier Detection Using Finite Mixtures with Discounting Learning Algorithms

Kenji Yamanishi, Jun’ichi Takeuchi, Graham Williams et al. · Data Mining and Knowledge Discovery · 2004 · 480 citations

Anomaly Detection, Machine Learning, Data Science +12

A unifying framework for detecting outliers and change points from non-stationary time series data

Kenji Yamanishi, Jun’ichi Takeuchi · 2002 · 278 citations

Unifying Framework, Anomaly Detection, Machine Learning +20

A unifying framework for detecting outliers and change points from time series

Jun’ichi Takeuchi, Kenji Yamanishi · IEEE Transactions on Knowledge and Data Engineering · 2006 · 253 citations

Unifying Framework, Anomaly Detection, Machine Learning +19

On-line unsupervised outlier detection using finite mixtures with discounting learning algorithms

Kenji Yamanishi, Jun’ichi Takeuchi, Graham Williams et al. · 2000 · 222 citations

Anomaly Detection, Machine Learning, Engineering +20

Discovering outlier filtering rules from unlabeled data

Kenji Yamanishi, Jun’ichi Takeuchi · 2001 · 103 citations

Artificial Intelligence, Anomaly Detection, Machine Learning +18