Business Intelligence solutions, encompassing technologies such as multi-dimensional data modeling and aggregate query processing, are being applied increasingly to non-traditional data. This paper extends multi-dimensional aggregation to apply to data with associated interval values that capture when the data hold. In temporal databases, intervals typically capture the states of reality that t...

Spatio-temporal Cox point process models with a multiplicative structure for the driving random intensity, incorporating covariate information into temporal and spatial components, and with a residual term modelled by a shot-noise process, are considered. Such models are flexible and tractable for statistical analysis, using spatio-temporal versions of intensity and inhomogeneous K-functions, q...

CoMo is a prototype of a collaborative 3D geometric modeling environment designed to support temporally and geographically dispersed work teams. In this environment the participants may work in different parts of the space and have distinct perspective viewing of the space. Maintaining workspace awareness becomes, therefore, much more difficult. In this paper we present graphics solutions that ...

We understand a service engagement as a form of collaboration arising in a sociotechnical system (STS). Although STSs are fruitfully modeled using normative abstractions such as commitments, a conventional (practical) commitment can capture only part of the story, namely, a debtor’s promise to the creditor to bring about the consequent if the antecedent holds. In contrast, in a dialectical comm...

Atmospheric modeling has recently experienced a surge with the advent of deep learning. Most these models, however, predict concentrations pollutants following data-driven approach in which physical laws that govern their behaviors and relationships remain hidden. With aid real-world air quality data collected hourly different stations throughout Madrid, we present an empirical using techniques...

In: S. España, M. Ivanović, M. Savić (eds.): Proceedings of the CAiSE’16 Forum at the 28th International Conference on Advanced Information Systems Engineering, Ljubljana, Slovenia, 13-17.6.2016, published at http://ceur-ws.org Abstract. To guarantee the success of a construction project, a detailed process model specification is essential. The peculiarities of the domain, like the high number ...

The Unified Modeling Language UML is well-suited for the design of real-time systems. In particular, the design of dynamic system behaviors is supported by interaction diagrams and statecharts. Real-time aspects of behaviors can be described by time constraints. The semantics of the UML, however, is non-formal. In order to enable formal design verification, we therefore propose to complement th...

This paper addresses the problem of discovering temporal authors interests. Traditionally some approaches used stylistic features or graph connectivity and ignored semantics-based intrinsic structure of words present between documents, while previous topic modeling approaches considered semantics without time factor, which is against the spirits of writing. We present Temporal-Author-Topic (TAT...

Spatial data provide valuable new insight that is invisible and sometimes not even possible to generate using traditional spreadsheets and data processing alone. Decision makers prefer – especially for queries on spatial, temporal, and spatio-temporal data – to drill around spatial functionalities and operations in order to speed up information flow and standardize map-reporting visualizations....

Modeling and describing temporal structure in multimedia signals, which are captured simultaneously by multiple sensors, is important for realizing human machine interaction and motion generation. This paper proposes a method for modeling temporal structure in multimedia signals based on temporal intervals of primitive signal patterns. Using temporal difference between beginning points and the ...