Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Lasse Poulsen

dblp:46/5182 · DBLP profile ↗
← Back
1ranked-venue papers
0as first author
0since 2021 · last 2001
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Databases, data management, data science and information retrieval · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Databases, data mining, and information retrieval
1 paper
Spatial and temporal data management · 50% Data models and query languages · 50%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Spatial and temporal data management › temporal databases
bitemporal databases
0.012001
A Split Operator for Now-Relative Bitemporal Databases · ICDE 2001
Data models and query languages › temporal data model
temporal relational algebra
0.012001
A Split Operator for Now-Relative Bitemporal Databases · ICDE 2001

Methods — techniques the papers use, named apart from their topics

performance evaluation · 0.0SQL implementation · 0.0
YearPublicationVenuePosition
2001 A Split Operator for Now-Relative Bitemporal Databases
abstract
The timestamps of now-relative bitemporal databases are modeled as growing, shrinking or rectangular regions. The shape of these regions makes it a challenge to design bitemporal operators that (a) are consistent with the point-based interpretation of a temporal database, (b) preserve the identity of the argument timestamps, (c) ensure locality and (d) perform efficiently. We identify the bitemporal split operator as the basic primitive to implement a wide range of advanced now-relative bitemporal operations. The bitemporal split operator splits each tuple of a bitemporal argument relation, such that equality and standard nontemporal algorithms can be used to implement the bitemporal counterparts with the aforementioned properties. Both a native database algorithm and an SQL implementation are provided. Our performance results show that the bitemporal split operator outperforms related approaches by orders of magnitude and scales well.
Mikkel Agesen, Michael H. Böhlen, Lasse Poulsen, Kristian Torp
ICDE3