MOD

You're about to finish your Ph.D and looking forward to a bright career. You might have some plans for what that career will look like, but the truth is, you're about to embark on a fascinating journey you know little about. You think that in 5 or 10 ...

The last few years have seen a growing interest in the artifact-centric process modeling approach across database and business process management communities. Artifact-centric processes not only unify databases and how data tuples are processed through ...

Many applications regularly generate large graph data. Many of these graphs change dynamically, and analysis techniques for static graphs are not suitable in these cases. This thesis proposes an architecture to process and analyze dynamic graphs. It is ...

In this paper, we present Δ-SPOT, a non-linear model for analysing large scale web search data, and its fitting algorithm. Δ-SPOT can forecast long-range future dynamics of the keywords/queries. We use the Google Search, Twitter and MemeTracker data set ...

In this work, we study data exchange for temporal data. There are two views associated with temporal data: the concrete temporal view, which depicts how temporal data is compactly represented and on which implementations are based, and the abstract ...

Given a huge collection of vehicle sensor data consisting of d sensors for w trajectories of duration n, which are accompanied by geographical information, how can we find patterns, rules and outliers? How can we efficiently and effectively find typical ...

People nowadays share large amounts of data online, explicitly or implicitly. Analysis of such data can detect useful behavior patterns of varying natures and scales, from mass immigration between continents to trendy venues in a city in turn. Detecting ...

Microblogs, e.g., tweets, reviews, or comments on news websites and social media, have become so popular among web users that many applications are exploiting them for different types of analysis. The distinguishing characteristics of microblogs have ...

Though data uncertainty naturally appears in many real-life situations, traditional database theory and systems tend to assume that the data is reliable and complete. The reason is that of complexity and performance: on arbitrary relational database ...

Query answering over databases with conceptual constraints is an important problem in database theory. To deal with the problem, the ontology-based data access approach uses ontologies to capture both constraints and databases. In this approach, ...