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Sunday, August 11
 

9:00am

ODD: Keynote Presentation : Outlier Detection in Personalized Medicine - Raymond Ng
Abstract Personalized medicine has been hailed as one of the main directions for medical research in this century. In the first half of the talk, we give an overview on our personalized medicine projects that use gene expression, proteomics, DNA and clinical features. In the second half, we give two applications where outlier detection is valuable for the success of our work. The first one focuses on identifying mislabeled patients, and the second one deals with quality control of microarrays.

Sunday August 11, 2013 9:00am - 9:30am
Missouri

9:30am

ODD: Enhancing One-class Support Vector Machines for Unsupervised Anomaly Detection
by Mennatallah Amer, Markus Goldstein, Slim Abdennadher

Sunday August 11, 2013 9:30am - Wednesday December 31, 1969 6:00pm
Missouri

9:45am

ODD: Systematic Construction of Anomaly Detection Benchmarks from Real Data
by Andrew Emmott, Shubhomoy Das, Thomas Dietterich, Alan Fern, Weng-Keen Wong

Sunday August 11, 2013 9:45am - 10:00am
Missouri

10:30am

ODD: Keynote Presentation : Outlier Ensembles - Charu Aggarwal
Abstract Ensemble analysis is a widely used meta-algorithm for many data mining problems such as classification and clustering. Numerous ensemble-based algorithms have been proposed in the literature for these problems. Compared to the cluster- ing and classification problems, ensemble analysis has been studied in a limited way in the outlier detection literature. In some cases, ensemble analysis techniques have been implicitly used by many outlier analysis algorithms, but the approach is often buried deep into the algorithm and not formally recognized as a general-purpose meta-algorithm. This is in spite of the fact that this problem is rather important in the context of outlier analysis. This talk discusses the various methods which are used in the literature for outlier ensembles and the general principles by which such analysis can be made more effective. A discussion is also provided on how outlier ensembles relate to the ensemble-techniques used commonly for other data mining problems.

Sunday August 11, 2013 10:30am - 11:00am
Missouri

11:00am

ODD: Anomaly Detection on ITS Data via View Association
 by Junaidillah Fadlil, Hsing-Kuo Pao, Yuh-Jye Lee

Sunday August 11, 2013 11:00am - 11:15am
Missouri

11:15am

11:30am

11:45am