By supporting the valid and transaction time dimensions, bitemporal databases represent reality more accurately than conventional databases. In this paper, we examine the issues involved in designing efficient access methods for bitemporal databases, and propose the partial-persistence and the double-tree methodologies. The partial-persistence methodology reduces bitemporal queries to partial p...

The presented data model is a novel approach for integrating temporal concepts into a multimedia database system. Multimedia objects are extended with the traditional time dimensions valid time and transaction time. In addition a new time dimension specifically tailored for multimedia data types is presented with semantics that are completely orthogonal to the already established time dimension...

In this paper we consider a class of integrity constraints which describe admissible lifecycles of database objects, and which can be speciied by transition graphs. We present an algorithmic scheme for monitoring such constraints in temporal databases which eeciently support the concept of valid-time. The keys to eecient monitoring lie in storing lifecycle situations with respect to constraints...

The input data of the corporate data warehouse is provided by the data sources, that are integrated. In the temporal database research area, a bitemporal database is a database supporting valid time and transaction time. Valid time is the time when the fact is true in the modeled reality, while transaction time is the time when the fact is stored in the database. Defining a data warehouse as a ...

alister mcgrath criticizes atheistically evolutionary view of richard dawkins in natural sciences; and believes that the evidence that is put forward by dawkins for explanation of his hypothesis, is not compatible with the result of his argument. dawkins attacks against christianity in four arguments, and believes that science has removed god and religion is against every kind of demonstration ...

Recent advances in large-scale data collection have created new opportunities for psychological scientists who study intergroup bias. By leveraging big data, researchers can aggregate individual measures of bias into regional estimates to predict outcomes consequence. This small-but-growing area has already impacted the field with well-powered research identifying relationships between biases a...