Ciannamea, S., Jensen, C.S., Agerskov, H., Petersen, K., Lenk, I., Didion, T., ...
A cold-regulated gene Lolium perenne LIR1 (LpLIR1) was isolated from perennial ryegrass using a subtractive approach. The gene has strong homology to the Light Induced Rice1 (LIR1) gene and is...
Jensen, C. S., Lahrmann, H., Pakalnis, S., Runge, J.
The ability to perform meaningful empirical studies is of essence in research in spatio-temporal query processing. Such studies are often necessary to gain detailed insight into the functional and...
C. S. Jensen, H. Lahrmann, S. Pakalnis, J. Runge, Simonas Saltenis, ...
The ability to perform meaningful empirical studies is of essence in research in spatio-temporal query processing. Such studies are often necessary to gain detailed insight into the functional and...
Point- Versus Interval-based Temporal Data (2004)
R. Busatto, C. S. Jensen, Michael H. Bohlen, ...
The association of timestamps with various data items such as tuples or attribute values is fundamental to the management of time-varying information. Using intervals in timestamps, as do most data...
Systematic Change Management in Dimensional (2004)
R. Bliujute, S. Saltenis, G. Slivinskas, C. S. Jensen
With the widespread and increasing use of data warehousing in industry, the design of effective data warehouses and their maintenance has become a focus of attention. Independently of this, the area...
Integrated Data Management for Mobile Services in the Real World (2004)
C. Hage, C. S. Jensen, T. B. Pedersen, L. Speicys, I. Timko
Market research companies predict a huge market for services to be delivered to mobile users.
Towards A Web Accessibility Monitor (2004)
M. H. Snaprud, C. S. Jensen, J. P. Nytun, A. Sawicka
Introduction As the information society develops, the "digital divide " grows. On the other hand, appropriate uses of new technologies can bridge the divide and enable new user groups to access...
Point- Versus Interval-based Temporal Data Models (2004)
M. H. Bohlen, R. Busatto, C. S. Jensen
The association of timestamps with various data items such as tuples or attribute values is fundamental to the management of time-varying information. Using intervals in timestamps, as do most data...
Integrated Data Management for Mobile Services in the Real World (2004)
C. Hage, C. S. Jensen, T. B. Pedersen, L. Speicys, I. Timko
Market research companies predict a huge market for services to be delivered to mobile users.
Point- Versus Interval-based Temporal Data Models (2000)
M. H. Bohlen, R. Busatto, C. S. Jensen
The association of timestamps with various data items such as tuples or attribute values is fundamental to the management of time-varying information. Using intervals in timestamps, as do most data...
Conceptual Modeling of Time-Varying Information (2000)
this paper formally defines a graphical, temporally extended ER model. The ontological foundation serves to aid in ensuring a maximally orthogonal design, and the requirements aim, in part, at...
Temporal Entity-Relationship Models: A Survey (2000)
This paper surveys all temporally enhanced ER models known to the authors.
From Temporal ER Models to Relations (2000)
H. Gregersen, L. Mark, C. S. Jensen
this paper, we will focus on four distinct types of temporal aspects that are candidates for being stored in a database, namely valid time, lifespan, transaction time,anduser-defined time [11].
On the Semantics of "Now" in Databases (2000)
J. Clifford, C. E. Dyreson, T. Isakowitz, C. S. Jensen, R. T. Snodgrass
This paper proposes a framework for defining the semantics of the variable
R. T. Snodgrass, I. Ahn, G. Ariav, D. Batory, J. Clifford, C. E. Dyreson, ...
Introduction This tutorial presents the primary constructs of the consensus temporal query language TSQL2 via a media planning scenario. Media planning is a series of decisions involved in the...
A Foundation for Representing and Querying Moving Objects (2000)
Ralf Hartmut Guting, Michael H. Bohlen, Martin Erwig, Christian S. Jensen, Nikos A. Lorentzos, Markus Schneider, ...
ing with credit is permitted. To copy otherwise, to republish, to post on servers, to redistribute to lists, or to use any component of this work in other works, requires prior specific permission...
Systematic Change Management in Dimensional Data Warehousing (1999)
R. Bliujute, S. Saltenis, G. Slivinskas, C. S. Jensen
With the widespread and increasing use of data warehousing in industry, the design of effective data warehouses and their maintenance has become a focus of attention. Independently of this, the area...
Point- Versus Interval-based Temporal Data Models (1999)
R. Busatto, C. S. Jensen, Michael H. Bohlen, ...
The association of timestamps with various data items such as tuples or attribute values is fundamental to the management of time-varying information. Using intervals in timestamps, as do most data...
Systematic Change Management in Dimensional Data Warehousing (1998)
R. Bliujute, S. Saltenis, G. Slivinskas, C. S. Jensen
With the widespread and increasing use of data warehousing in industry, the design of effective data warehouses and their maintenance has become a focus of attention. Independently of this, the area...
Point- Versus Interval-based Temporal Data Models (1998)
R. Busatto, C. S. Jensen, Michael H. Bohlen, ...
The association of timestamps with various data items such as tuples or attribute values is fundamental to the management of time-varying information. Using intervals in timestamps, as do most data...
Point- Versus Interval-based Temporal Data Models (1997)
M. H. Bohlen, R. Busatto, C. S. Jensen
The association of timestamps with various data items such as tuples or attribute values is fundamental to the management of time-varying information. Using intervals in timestamps, as do most data...
A Glossary of Temporal Database Concepts (1992)
C. S. Jensen, J. Clifford, S. K. Gadia, A. Segev, R. T. Snodgrass
This glossary contains concepts specific to temporal databases that are well-defined, well understood, and widely used. In addition to defining and naming the concepts, the glossary also explains the...
Blocking Gibbs sampling for linkage analysis in large pedigrees with many loops.
We apply the method of "blocking Gibbs" sampling to a problem of great importance and complexity-linkage analysis. Blocking Gibbs sampling combines exact local computations with Gibbs sampling, in a...
Blocking Gibbs sampling for linkage analysis in large pedigrees with many loops.
We apply the method of "blocking Gibbs" sampling to a problem of great importance and complexity-linkage analysis. Blocking Gibbs sampling combines exact local computations with Gibbs sampling, in a...