About
9
Publications
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21
Citations
Introduction
Christian Colot currently works at SnT research center, University of Luxembourg. Christian does research in big data for three main fields: decision-making, redundancy among features and use of figurative language.
Current institution
Additional affiliations
September 2014 - present
Position
- Teaching and Research Assistant
Description
- Research areas: - social network data and predictive modelling - mobile data uses Teaching activities: -Statistics -Probability -Database management
Publications
Publications (9)
Following a regulatory change in Europe which mandates that car manufacturers include an “eCall” system in new vehicles, many car manufacturers are adding additional services on top, so that more and more cars become connected vehicles and act like IoT sensors. In the following study, we analyse the maturity level of this new technology to build in...
Following a regulatory change in Europe which mandates that car manufacturers include an eCall system in new vehicles, many car manufacturers are adding additional services on top, so that more and more cars become connected vehicles and act like IoT sensors. In the following study, we analyse the maturity level of this new technology to build insu...
Abstract The big data revolution has led to unprecedented opportunities for data sharing between industries. Telephone companies offer specific data involving rich information not only about the customer's behavior but also regarding his/her relationship with other customers and with third-party businesses. This article addresses the following rese...
The rise of unstructured data leads to unprecedented opportunities for marketing applications along with new methodological challenges to leverage such data. In particular, redundancy among the features extracted from this data deserves special attention as it might prevent current methods to benefit from it. In this study, we propose to investigat...
The value of communication network has received significant attention in the literature on churn prediction, while little is known about the potential business value of alternative networks. This knowledge would help telephone companies to make timely strategic decisions in our evolving economic environment where traditional communication technolog...
This book constitutes the proceedings of the Third International Conference on Decision Support Systems, ICDSST 2017, held in Namur, Belgium, in May 2017. The EWG-DSS series of the International Conference on Decision Support System Technology (ICDSST) offers a platform for European and international DSS communities, comprising the academic and ind...
Mobile devices leave an unprecedented volume and variety of digital traces of human beings. In this paper, the authors propose an overview of multiple uses of mobile data published in the scientific literature. The organization of the survey follows a typology built on two criteria: interaction level and focus of analysis. Crossing these two dimens...
Along with the development of internet connected devices, Mobile Marketing is expected to be ubiquitous in the near future. In order to deliver right mobile offers, the need to better know the customer is now crucial. This article develops a theoretical marketing framework to categorise the most relevant information linked to mobile data which comp...
