The Innovative outlier detection - Special Session at the 2017 IEEE International Conference on INnovations in Intelligent SysTems and Applications (INISTA 2017) is dedicated to broadly understood issues of outlier detection in large data sets, including Big Data. Detection of outliers is the basis for decision-making processes, classification, grouping and methods of intelligence. The problem of anomaly detection encompasses a wide spectrum of applied methods. IOD session is therefore an opportunity to identify new research directions and presentation of original research results. It is also an opportunity for exchanging and diffusing innovative and practical experience in this field.
The scope of IOD 2017 includes, but is not limited to the following issues:
Probabilistic and statistical models for outlier detection
Grade correspondence analysis for outlier detection
Outlier detection based on distance, density, depth, deviation e.g
Evolutionary Algorithms for Outlier Detection
Outlier Detection in Categorical, Text, Mixed Attribute Data, and Stream Data
Outlier analysis in graphs, networks
Outlier detection in big data
Application of outlier analysis
07月03日
2017
07月05日
2017
初稿截稿日期
初稿录用通知日期
注册截止日期
留言