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L. Edwin McKenzie

dblp:90/6769 · DBLP profile ↗
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3ranked-venue papers
2as first author
0since 2021 · last 1993
—ORCID · none

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

Databases, data management, data science and information retrieval · 3 · 2 first-author

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
2 papers
Spatial and temporal data management · 50% Data models and query languages · 47% Database theory · 3%

Topics — the 6 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Spatial and temporal data management › temporal databases
temporal aggregation
0.011993
Aggregates in the Temporal Query Language TQuel · IEEE Trans. Knowl. Data Eng. 1993
Data models and query languages › query language
temporal query language
0.011993
Aggregates in the Temporal Query Language TQuel · IEEE Trans. Knowl. Data Eng. 1993
Spatial and temporal data management
temporal query processing
0.011993
Aggregates in the Temporal Query Language TQuel · IEEE Trans. Knowl. Data Eng. 1993
Data models and query languages
relational algebra
0.011987
Extending the Relational Algebra to Support Transaction Time · SIGMOD Conference 1987
Data models and query languages › temporal data model
temporal relational algebra
0.011987
Extending the Relational Algebra to Support Transaction Time · SIGMOD Conference 1987
Database theory
denotational semantics
0.011987
Extending the Relational Algebra to Support Transaction Time · SIGMOD Conference 1987

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

tuple relational calculus · 0.0formal semantics · 0.0
YearPublicationVenuePosition
1993 Aggregates in the Temporal Query Language TQuel
abstract
This paper defines new constructs to support aggregation in the temporal query language TQuel and presents their formal semantics in the tuple relational calculus. A formal semantics for Quel aggregates is defined in the process. Multiple aggregates; aggregates appearing in the where, when, and valid clauses; nested aggregation; and instantaneous, cumulative, moving window, and unique variants are supported. These aggregates provide a rich set of statistical functions that range over time, while requiring minimal additions to TQuel and its semantics. We show how the aggregates may be supported in an historical algebra, both in a batch and in an incremental fashion, demonstrating that implementation is straightforward and efficient.>
Richard T. Snodgrass, Santiago Gómez-Guerrero, L. Edwin McKenzie
IEEE Trans. Knowl. Data Eng.3
1990 Schema Evolution and the Relational Algebra
L. Edwin McKenzie, Richard T. Snodgrass
Inf. Syst.1
1987 Extending the Relational Algebra to Support Transaction Time
abstract
In this paper we discuss extensions to the conventional relational algebra to support transaction time. We show that these extensions are applicable to historical algebras that support valid time, yielding a temporal algebraic language. Since transaction time concerns the storage of information in the database, the notion of state is central. The extensions are formalized using denotational semantics. The additions preserve the useful properties of the conventional relational algebra.
L. Edwin McKenzie, Richard T. Snodgrass
SIGMOD Conference1