the large number of applications manages time varying data. existing databasetechnology seldom supports temporal database, tdb, according to time aspects.these intrinsic temporal database applications rely on such database which storesand retrieves time referenced data. moreover, applications need to be managed oncommon data items access simultaneously and to be precluded from inconsistencyas s...

Real-time information dissemination is essential for the success of key applications such as transportation management and battlefield monitoring. In these applications, relevant information should be disseminated to interested users in a timely fashion. However, it is challenging to support timely information dissemination due to the limited and even time-varying network bandwidth. Thus, a nai...

In this paper, the relation between synchronization and control of chaotic nodes connected through a time–varying network is discussed. In particular, the effects of pinning control on a set of moving chaotic agents are investigated showing that the role of system parameters, like agent density, is critical in order to reach the synchronous behavior and also to control the whole network by pinn...

In generating textual summaries of data, the content determination problem is even more complicated when summarizing time-varying data, such as in weather or stockmarket report generation. As well as the maximum, minimum and mean, what is of interest is the behaviour of the variable over time; e.g. dramatic changes, trends and degree of variability in the data. For example, in the graph of temp...

Automatically generating textual descriptions of numerical data is a particularly useful task with the explosion of accessible online information. A textual description allows people to absorb key features more easily, especially when there are large amounts of data involved. Some work has been done in automatically generating text from data; e.g. Mittal et al. [1995] and Robin and McKeown [199...

This work proposes an algorithmic framework to learn time-varying graphs from online data. The generality offered by the renders it model-independent, i.e., can be theoretically analyzed in its abstract formulation and then instantiated under a variety of model-dependent graph learning problems. is possible phrasing (time-varying) as composite optimization problem, where different functions reg...