We consider the problem of computing reachable sets directly from noisy data without a given system model. Several reachability algorithms are presented for different types systems generating data. First, an algorithm over-approximated based on matrix zonotopes is proposed linear systems. Constrained introduced to provide less conservative at cost increased computational expenses and utilized i...

This short paper describes our developing theorizing around the nature of learning analytics, and specifically ‘learning analytics for learners’. We describe a value sensitive, participatory, design process for the development of a learning platform and learning analytics. Preliminary design sessions with students illustrate the approach we have taken to developing analytics in one masters leve...

Two components central to the calculation of customer value are acquisition and retention propensities. However, while extant research has incorporated such components into different kinds of models, limited work has investigated the kinds of associations that may exist between them. In this research, we focus on the relationship between a prospective customer’s time until acquisition of a part...

In this paper, we propose a data model to manage dynamic aspects of geographic information. In our model, a geographic change is represented as an event. Three relations are defined on events: they are is-a relation, partof relation, and event-driven relation. We implemented a prototype system, and confirmed that our model is adaptable to searching dynamic aspects of geographic information base...

Although data warehousing theory and technology have been around for well over a decade, they may well be the next hot technologies. How can it be that a technology sleeps for so long and then begins to move rapidly to the foreground? This question can have several answers. Perhaps the technology had not yet caught up to the theory or that computer technology 10 years ago did not have the capac...