Workflow mining and outlier detection from clinical activity logs

[Lecture Notes in Computer Science] Adva

[Lecture Notes in Computer Science] Advances in Knowledge Discovery and Data Mining Volume 3918 || A Nonparametric Outlier Detection for Effectively Discovering Top-N Outliers from Engineering Data

✍ Ng, Wee-Keong; Kitsuregawa, Masaru; Li, Jianzhong; Chang, Kuiyu 📂 Article 📅 2006 🏛 Springer Berlin Heidelberg ⚖ 260 KB

Validity, responsiveness, minimal detect

Validity, responsiveness, minimal detectable change, and minimal clinically important change of the Pediatric Motor Activity Log in children with cerebral palsy

✍ Keh-chung Lin; Hui-fang Chen; Chia-ling Chen; Tien-ni Wang; Ching-yi Wu; Yu-wei 📂 Article 📅 2012 🏛 Elsevier Science 🌐 English ⚖ 226 KB

[IEEE 2012 IEEE 12th International Confe

[IEEE 2012 IEEE 12th International Conference on Data Mining Workshops - Brussels, Belgium (2012.12.10-2012.12.10)] 2012 IEEE 12th International Conference on Data Mining Workshops - Outlier Detection in Logistic Regression: A Quest for Reliable Knowledge from Predictive Modeling and Classification

✍ Nurunnabi, Abdul; West, Geoff 📂 Article 📅 2012 🏛 IEEE ⚖ 458 KB

[ACM Press the 12th ACM SIGKDD internati

[ACM Press the 12th ACM SIGKDD international conference - Philadelphia, PA, USA (2006.08.20-2006.08.23)] Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining - KDD '06 - Outlier detection by active learning

✍ Abe, Naoki; Zadrozny, Bianca; Langford, John 📂 Article 📅 2006 🏛 ACM Press ⚖ 134 KB

[ACM Press the 12th ACM SIGKDD internati

[ACM Press the 12th ACM SIGKDD international conference - Philadelphia, PA, USA (2006.08.20-2006.08.23)] Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining - KDD '06 - Outlier detection by active learning

✍ Abe, Naoki; Zadrozny, Bianca; Langford, John 📂 Article 📅 2006 🏛 ACM Press ⚖ 134 KB

Most existing approaches to outlier detection are based on density estimation methods. There are two notable issues with these methods: one is the lack of explanation for outlier flagging decisions, and the other is the relatively high computational requirement. In this paper, we present a novel app

The evaluation of novel chromogenic subs

The evaluation of novel chromogenic substrates for the detection of lipolytic activity in clinical isolates of Staphylococcus aureus and MRSA from two European study groups

✍ Simon W.J. Gould; Maureen Chadwick; Paul Cuschieri; Susan Easmon; Anthony C. Ric 📂 Article 📅 2009 🏛 John Wiley and Sons 🌐 English ⚖ 327 KB