KDD 2016 Workshop on Outlier Definition, Detection, and Description on Demand (ODD 2016)

August 14, 2016

San Francisco, CA

Call For Papers

The ODD (2013) Workshop focused on outlier detection and description, with particular emphasis on descriptive methods that could help make sense of the detected outliers. Next, ODD^2 (2014) extended the focus areas to outlier detection and description under data diversity, with emphasis on challenges associated with mining outliers in heterogeneous data environments (graphs, text, streams, metadata, etc.). ODDx3 (2015) focused on the translation of real world applications to different outlier definitions, highlighting the challenges associated with the variety of outlier definitions defined in theoretic models and used in a multitude of application domains. 

Topics

Interleaved detection and description of outliers
Description models for given outliers
Pattern and local information based outlier description
Subspace outliers, feature selection, and space transformations
Ensemble methods for anomaly detection and description
Descriptive local outlier ranking
Identification of outlier rules
Finding intensional knowledge
Contextual and community outliers
Human-in-the-loop modeling and learning
Visualization techniques for interactive exploration of outliers
Comparative studies on outlier description
Related research fields
Contrast mining
Change and novelty detection
Causality analysis
Frequent itemset mining
Compression theory
Subgroup mining
Subspace learning
Formal outlier mining models
Supervised, semi-supervised, and unsupervised models
Statistical models
Distance-based models
Density-based models
Spectral models
Constraint-based models
Ensemble models
Outlier mining for complex databases
Graph data (e.g. community outliers)
Spatio-temporal data
Time series and sequential data
Online processing of stream data
Scalability to high dimensional data
Applications of outlier detection and description
Fraud in financial data
Intrusions in communication networks
Sensor network analysis
Social network analysis
Health surveillance
Customer profiling

IMPORTANT DATES            

Paper submission:May 16, 2016

                       

Notification of acceptance: June 13, 2016

           

Final manuscripts due: July 1, 2016

                      

User Name : MANI
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