Benjamin Schreck

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In this paper, we present the concept of data science foundry for data from Massive Open Online Courses. In the foundry we present a series of software modules that transform the data into different representations. Ultimately, each online learner is represented using a set of variables that capture his/her online behavior. These variables are captured(More)
Modeling and simulation of organizational processes are established methodologies and tools in most industries. In civil engineering, however, this is not the case. One of the reasons for this is the lack of special tools, specifically computer programs used primarily for modeling and simulating characteristic processes of construction. In this paper the(More)
In this paper, we designed a formal language, called Trane, for describing prediction problems over relational datasets, implemented a system that allows data scientists to specify problems in that language. We show that this language is able to describe several prediction problems and even the ones on KAGGLE-a data science competition website. We express(More)
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