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Daniel Troy

dblp:74/4644 · DBLP profile ↗
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2ranked-venue papers
1as first author
0since 2021 · last 1990
—ORCID · none

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

Software engineering, systems software and programming languages · 1 · 1 first-authorDatabases, 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
2 papers
Query processing and optimization · 53% Database theory · 47%
Theoretical computer science
2 papers
Logic in computer science · 100%

Topics — the 4 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Database theory
linearization
0.021990
Necessary and Sufficient Conditions to Linearize Double Recursive Programs in Logic Databases · ACM Trans. Database Syst. 1990
Linearization of Nonlinear Recursive Rules · IEEE Trans. Software Eng. 1989
Query processing and optimization
recursive query
0.021990
Necessary and Sufficient Conditions to Linearize Double Recursive Programs in Logic Databases · ACM Trans. Database Syst. 1990
Linearization of Nonlinear Recursive Rules · IEEE Trans. Software Eng. 1989
Logic in computer science › logic programming
datalog
0.011990
Necessary and Sufficient Conditions to Linearize Double Recursive Programs in Logic Databases · ACM Trans. Database Syst. 1990
Query processing and optimization › recursive query
recursive query evaluation
0.011989
Linearization of Nonlinear Recursive Rules · IEEE Trans. Software Eng. 1989

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

necessary and sufficient conditions · 0.0formal proof · 0.0
YearPublicationVenuePosition
1990 Necessary and Sufficient Conditions to Linearize Double Recursive Programs in Logic Databases
abstract
Linearization of nonlinear recursive programs is an important issue in logic databases for both practical and theoretical reasons. If a nonlinear recursive program can be transformed into an equivalent linear recursive program, then it may be computed more efficiently than when the tranformation is not possible. We provide a set of necessary and sufficient conditions for a simple doubly recursive program to be equivalent to a simple linear recursive program. The necessary and sufficient conditions can be verified effectively.
Weining Zhang, Clement T. Yu, Daniel Troy
ACM Trans. Database Syst.3
1989 Linearization of Nonlinear Recursive Rules
abstract
The problem of converting a simple nonlinear recursive logic query into an equivalent linear one is considered. A general method is given to transform a nonlinear rule into a sequence of linear ones. For efficient processing it is necessary to convert a nonlinear rule into a single linear rule. For such a conversion, a necessary and sufficient condition is provided for a type of doubly recursive rule to be equivalent to the resulting linear rule. It is also shown that a restricted type of higher order recursive rule is equivalent to the linear rule obtained by its conversion.>
Daniel Troy, Clement T. Yu, Weining Zhang
IEEE Trans. Software Eng.1