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Outlier Definition,Detection, and Description - Workshop at ACM SIGKDD 2015

ACM SIGKDD 2015 Workshop. ODDx3: Outlier Definition, Detection, and Description. Workshop Program [ Slides. Graph OLAP, Anomaly and Query-based Outlier Detection. Research talks (15 5 minutes each). Abnormal Subspace Sparse PCA for Anomaly Detection and Interpretation. Xingyan Bin, Ying Zhao and Bilong Shen. Sequential Feature Explanations for Anomaly Detection. Md Amran Siddiqui, Alan Fern, Thomas G. Dietterich and Weng-Keen Wong. Towards Robust Anomaly Detection Ensembles using Explanations. Focused on...

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Outlier Definition,Detection, and Description - Workshop at ACM SIGKDD 2015 | outlier-analytics.org Reviews
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ACM SIGKDD 2015 Workshop. ODDx3: Outlier Definition, Detection, and Description. Workshop Program [ Slides. Graph OLAP, Anomaly and Query-based Outlier Detection. Research talks (15 5 minutes each). Abnormal Subspace Sparse PCA for Anomaly Detection and Interpretation. Xingyan Bin, Ying Zhao and Bilong Shen. Sequential Feature Explanations for Anomaly Detection. Md Amran Siddiqui, Alan Fern, Thomas G. Dietterich and Weng-Keen Wong. Towards Robust Anomaly Detection Ensembles using Explanations. Focused on...
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1 welcome and remarks
2 keynote presentation
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4 xifeng yan
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6 re welcome
7 slides
8 vipin kumar
9 panel
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Outlier Definition,Detection, and Description - Workshop at ACM SIGKDD 2015 | outlier-analytics.org Reviews

https://outlier-analytics.org

ACM SIGKDD 2015 Workshop. ODDx3: Outlier Definition, Detection, and Description. Workshop Program [ Slides. Graph OLAP, Anomaly and Query-based Outlier Detection. Research talks (15 5 minutes each). Abnormal Subspace Sparse PCA for Anomaly Detection and Interpretation. Xingyan Bin, Ying Zhao and Bilong Shen. Sequential Feature Explanations for Anomaly Detection. Md Amran Siddiqui, Alan Fern, Thomas G. Dietterich and Weng-Keen Wong. Towards Robust Anomaly Detection Ensembles using Explanations. Focused on...

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Outlier Detection and Description - Workshop at ACM SIGKDD 2013

http://outlier-analytics.org/odd13kdd

KDD 2013 Workshop on. Outlier Detection and Description. August 11th, Chicago. Outlier Detection and Description. The goal of the workshop on Outlier Detection and Description (ODD) is to address outlier mining as the twofold task of. We are proud to have Charu Aggarwal and Raymond Ng as keynote speakers. Will give a presentation on 'Outlier Ensembles'. Will give a presentation on 'Outlier Detection in Personalized Medicine'. Raymond is a Professor of Computer Science at the University of British Columbi...

2

ODD^2 Workshop at KDD 2014

http://outlier-analytics.org/odd14kdd

ACM SIGKDD 2014 Workshop ODD. Outlier Detection and Description under Data Diversity. June 4th, 2014. June 11th, 2014. July 15th, 2014. July 27th, 2014. August 24, 2014. The workshop schedule contains two keynote talks (40 minutes each) and six paper presentations (20 minutes each). Speakers are suggested to spare at least 5 minutes of their time for Q-and-A. Last 15 minutes are reserved to discuss the future perspective of ODD x and possible journal (special issue) publications. 2:00 - 2:05 pm. Shebuti ...

3

Outlier Definition,Detection, and Description - Workshop at ACM SIGKDD 2015

http://outlier-analytics.org/odd15kdd/index.html

ACM SIGKDD 2015 Workshop. ODDx3: Outlier Definition, Detection, and Description. Workshop Program [ Slides. Graph OLAP, Anomaly and Query-based Outlier Detection. Research talks (15 5 minutes each). Abnormal Subspace Sparse PCA for Anomaly Detection and Interpretation. Xingyan Bin, Ying Zhao and Bilong Shen. Sequential Feature Explanations for Anomaly Detection. Md Amran Siddiqui, Alan Fern, Thomas G. Dietterich and Weng-Keen Wong. Towards Robust Anomaly Detection Ensembles using Explanations. Focused on...

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Outlier Definition,Detection, and Description - Workshop at ACM SIGKDD 2015

ACM SIGKDD 2015 Workshop. ODDx3: Outlier Definition, Detection, and Description. Workshop Program [ Slides. Graph OLAP, Anomaly and Query-based Outlier Detection. Research talks (15 5 minutes each). Abnormal Subspace Sparse PCA for Anomaly Detection and Interpretation. Xingyan Bin, Ying Zhao and Bilong Shen. Sequential Feature Explanations for Anomaly Detection. Md Amran Siddiqui, Alan Fern, Thomas G. Dietterich and Weng-Keen Wong. Towards Robust Anomaly Detection Ensembles using Explanations. Focused on...

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