Data compression is important not only for conserving resources; it also has applications in cryptography and it can be used as an estimator for redundancy in the data: this has many applications, such as prediction, classification and other difficult problems in machine learning. We study algorithms that perform lossless statistical data compression. Statistical data compression is attractive ...

the arc costs are assumed to be online parameters of the network and decisions should be made while the costs of arcs are not known. the policies determine the permitted nodes and arcs to traverse and they are generally defined according to the departure nodes of the current policy nodes. in on-line created tours arc costs are not available for decision makers. the on-line traversed nodes are f...

Temporary earth retaining structures (TERS) help prevent collapse during construction excavation. To ensure that these structures are operating within design specifications, load forces on supports must be monitored. Current monitoring approaches are expensive, sparse, off-line, and thus difficult to integrate into predictive models. This work aims to show that wirelessly connected battery powe...

This study analyzes the probability of buying products from a particular online store given a set of alternative vendors. We use a multinomial logit choice model to analyze experimental data of consumer choice in two product categories books and computers, each of which represents goods that differ along the risk dimension. Books represent search-quality, cheaper products, while computers repre...

Cloud computing is characterized by shared infrastructure and a decoupling between its operators and tenants. These two characteristics impose new challenges to databases applications hosted in the cloud, namely: (i) how to price database services, (ii) how to isolate database tenants, and (iii) how to optimize database performance on this shared infrastructure. We argue that today’s solutions,...

Erving Goffman, one of the most influential sociologists of the last century published the Presentation of Self in Everyday Life (PSEL;1959). This is the most definitive 20th century study of the patterns of human behavior in mundane social situations. If we look to psychology, sociology, anthropology, marketing or even organisational studies the representation of human behavior emerges from ri...

Predictive models of student success in Massive Open Online Courses (MOOCs) are a critical component of effective content personalization and adaptive interventions. In this article we review the state of the art in predictive models of student success in MOOCs and present a dual categorization of MOOC research according to both predictors (features) and prediction (outcomes). We critically sur...