Online social networking is deeply interleaved in todays lifestyle. People come together and build communities to share thoughts, offer suggestions, exchange in­ formation, ideas, and opinions. Moreover, social networks often serve as platforms for information dissemination and product placement or promotion through viral marketing. The success rate in this type of marketing could be increased ...

Research in the psycholinguistics literature has identified linguistic cues indicating when a message is more likely to be deceptive and we find that the textual comments in the reviews without prior transactions exhibit many of these characteristics. In contrast, these reviews are less likely to contain expressions describing the fit or feel of the items, which can generally only be assessed b...

In this paper we propose and study the problem of trajectorydriven influential billboard placement: given a set of billboards U (each associated with a location and a cost), a database of trajectories T and a budget L, the goal is to find a set of billboards within the budget so that the placed ad can influence the largest number of trajectories. One core challenge is that multiple billboards h...

The classical Fisher linear classification analysis is a well known linear classification procedure. This technique tends to minimize the misclassification error if the data set comes from a multivariate normal distribution. On the other hand, if the data set is contaminated, the misclassification error of this approach tends to increase. Relying on the classification performance of the classic...

Precise knowledge about factors influencing the habitat suitability of a certain species forms the basis for the implementation of effective programs to conserve biological diversity. Such knowledge is frequently gathered from studies relating abundance data to a set of influential variables in a regression setup. In particular, generalised linear models are used to analyse binary presence/abse...

The most nongaussian direction to explore the clustering structure of the data is considered to be the interesting linear projection direction by applying projection pursuit. Nongaussianity is often measured by kurtosis, however, kurtosis is well known to be sensitive to influential points/outliers and the projection direction is essentially affected by unusual points. Hence in this paper we fo...

The aim of selective editing is to identify observations affected by influential errors. A score function based on the impact of the potential error on target estimates is useful to prioritize observations for accurate reviewing. We assume a Gaussian model for true data and an “intermittent” error mechanism such that a proportion of data is contaminated by an additive Gaussian error. In this se...

The last two decades have seen considerable efforts directed towards making electronic health records interoperable through improvements in medical ontologies, terminologies and coding systems. Unfortunately, these efforts have been hampered by a number of influential ideas inherited from the work of Eugen Wüster, the father of terminology standardization and the founder of ISO TC 37. We here s...

High dimensional data are commonly encountered in various scientific fields and pose great challenges to modern statistical analysis. To address this issue different penalized regression procedures have been introduced in the litrature, but these methods cannot cope with the problem of outliers and leverage points in the heavy tailed high dimensional data. For this purppose, a new Robust Adapti...