posted by system || 1708 views || tracked by 6 users: [display]

OMAD 2014 : Workshop on Optimization Methods for Anomaly Detection

FacebookTwitterLinkedInGoogle

Link: https://c3.nasa.gov/dashlink/events/2
 
When Apr 24, 2014 - Apr 26, 2014
Where Philadelphia, Pennsylvania, USA
Submission Deadline Jan 10, 2014
Categories    optimization   big data   data mining   machine learning
 

Call For Papers



Anomaly or outlier detection is a popular topic in data mining and machine learning. In fact, it has been argued that many novel scientific discoveries have been triggered by the need to explain outliers. A working definition of outliers [due to Hawkins] is “An outlier is an observation which deviates so much from the other observations as to arouse suspicions that it was generated by a different mechanism.”

The aim of this workshop is to invite research ideas to translate the above definition into an optimization framework. There has been some progress in this endeavor. For example, the one-class SVM formulation for novelty detection has been successfully used, in some cases, to elicit outliers from data using optimization methods. In the theoretical computer science community, approximation algorithms have been proposed for the “facility location problem with outliers” and the “K-median problem with outliers.” A similar effort has been made within a branch of statistics known as “robust statistics.” Here the key motivation has been to design statistical estimators, which are robust against model mis-specification and outliers. Some of the problems in Robust Statistics (like minimum covariance determinant) have been cast in an optimization framework. However, there needs to be a more concerted effort within data mining to come up with canonical optimization problems for outlier detection. This would be one way to drive progress in this promising area, which is especially relevant in the age of “Big Data”.

Related Resources

IEA/AIE NAAD 2017   Special Track on Novel Approaches to Anomaly Detection
DSAA 2017   The 4th IEEE International Conference on Data Science and Advanced Analytics 2017
KDD ADF 2017   KDD 2017 Workshop on Anomaly Detection in Finance
ICDM 2017   IEEE International Conference on Data Mining 2017
OMS 2017   4th Conference on Optimization Methods and Software
ACML 2017   The 9th Asian Conference on Machine Learning
CGO 2018   2018 IEEE/ACM International Symposium on Code Generation and Optimization
ICONIP 2017   International Conference on Neural Information Processing
ICDP 2017   8th IET International Conference on Imaging for Crime Detection and Prevention
DIMVA 2017   14th International Conference on Detection of Intrusions and Malware & Vulnerability Assessment