Most ICA algorithms are sensitive to outliers. Instead of robustifying existing algorithms by outlier rejection techniques, we show how a simple outlier index can be used directly to solve the ICA problem for super-Gaussian source signals. This ICA method is outlier-robust by construction and can be used for standard ICA as well as for overcomplete ICA (i.e. more source signals than observed si...

PMML is an industry-standard XML-based open format for representing statistical and data mining models. Since PMML does not yet support outlier (anomaly) detection, in this paper we propose a new outlier detection model to foster interoperability in this emerging field. Our proposal is included in the PMML RoadMap for PMML 4.4. We demonstrate the proposed format on one supervised and two unsupe...

Uncertain data management, querying and mining have become important because the majority of real world data is accompanied with uncertainty these days. Uncertainty in data is often caused by the deficiency in underlying data collecting equipments or sometimes manually introduced to preserve data privacy. The uncertainty information in the data is useful and can be used to improve the quality o...

Using a model developed by Relethford (1992), we assess temporal trends (1750-1949) in marital migration in the Aland Islands, Finland, in relation to both geographic distance and population size. The 200-year time period was divided into four 50-year periods. For all time periods both geographic distance and population size are important determinants of migration among 15 Lutheran parishes. Th...

Article history: Received 19 August 2014 Received in revised form 9 September 2014 Accepted 11 September 2014 Available online 21 September 2014 We examine learning-by-exporting effects of manufacturing and services firms in 19 sub-Saharan African countries. Comparing several outlier-robust estimators, our results provide evidence for positive effects in the manufacturing sector when using the ...

Cluster analysis and outlier detection are two continuously rising topics in data mining area, which fact connect to each other deeply. structure is vulnerable outliers; inversely, outliers the points belonging none of any clusters. Unfortunately, most existing studies do not notice coupled relationship between these tasks handle them separately. In this article, we consider joint cluster probl...