Multi-dimensional scaling (MDS) plays a central role in data-exploration, dimensionality reduction and visualization. State-of-the-art MDS algorithms are not robust to outliers, yielding significant errors in the embedding even when only a handful of outliers are present. In this paper, we introduce a technique to detect and filter outliers based on geometric reasoning. We test the validity of ...

Behavior can be defined as combination of variable’s values according to external inputs or environmental changes. This definition can be applied to persons, equipment, social systems or industrial processes. This paper proposes a probabilistic mechanism to represent the behavior of industrial equipment and an algorithm to identify deviations to this behavior. The anomaly detection mechanisms, ...

The recent increase in inequality in the U.S. and other developed countries has stimulated debate among economists. This debate is best exemplified by Thomas Piketty’s Capital in the twenty-first century and his critics. Taking aside the predictions for the future and the role that capital gains play in this debate, a deeper question is: what is a “normal” level of inequality in historical term...

The topological susceptibility of QCD vacuum is studied in the framework of a covariant chiral quark model with non-local quark-quark interaction. The relation of the first moment of topological susceptibility χ(0) and the ’spin crisis’ problem is briefly discussed. It is shown, in particular, that one always gets the inequality χ(0) > χOZI . It is well known that due to UA (1) axial Adler-Bell...

In this work, we consider the problem of detecting anomalous behaviour, and we present a novel approach allows classifying ”behaviour” either to be normal or abnormal by checking the p-value associated with the occurrence of the behaviour which is modelled following a binomial distribution within a discrete time model. The basic model for social networks is a graph. Over time, the graph underly...

The rising popularity of social computing systems has managed to attract rampant forms of service abuse that negatively affects the sustainability of these systems and degrades the quality of service experienced by their users. The main factor that enables service abuse is the weak identity infrastructure used by most sites, where identities are easy to create with no verification by a trusted ...

to doing this research daily interpolated temperature data from asfezari data base have been used. in order to recognition extreme cold days, the normalized temperature deviation index (ntdi) applied. then the index sorted according to extensive and severity and first 500 days selected for analysis. the geopotential height data extracted from www.esrl.noaa.gov data base. the thickness anomaly c...

Insider trading is one of the numerous white collar crimes that can contribute to the instability of the economy. Traditionally, the detection of illegal insider trades has been a human-driven process. In this paper, we collect the insider trade filings made available by the US Securities and Exchange Commissions (SEC) through the EDGAR system, with the aim of initiating an automated large-scal...

The recent increase in inequality in the U.S. and other developed countries has stimulated debate among economists. This debate is best exemplified by Thomas Piketty’s Capital in the twenty-first century and his critics. Taking aside the predictions for the future and the role that capital gains play in this debate, a deeper question is: what is a “normal” level of inequality in historical term...