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Zivojin Sustran

dblp:124/0623 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2024
0000-0003-3549-7056ORCID · reported

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

Databases, data management, data science and information retrieval · 1 · 1 since 2021

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
Query processing and optimization · 77% Database system architecture and tuning · 23%

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

TopicWeightPapersLastEvidence papers
Query processing and optimization
query rewriting
0.812024
Rewriting Queries for Hyper-Relations · IEEE Trans. Knowl. Data Eng. 2024
Database system architecture and tuning › database design › physical database design
denormalization
0.212024
Rewriting Queries for Hyper-Relations · IEEE Trans. Knowl. Data Eng. 2024

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

selection · 0.8nullification · 0.8incremental rewriting · 0.8
YearPublicationVenuePosition
2024 Rewriting Queries for Hyper-Relations
abstract
Hyper-relation is a recently proposed formal concept for denormalization of relational databases. Hyper-relations are structures of prejoined relations the schema of which can be represented as a hyper-graph. Instead of entire relations of the tables in the initial normalized schema, hyper-relations prejoin their atomic constituents called base relations, and do that with only those base relations that are really used in the queries being optimized. In this paper, we derive a simple and efficient algorithm for rewriting queries for hyper-relations. The algorithm is based on incremental rewriting procedure that traverses the query expression tree and builds up the transformed query by seamlessly propagating the proposed$\Sigma$operator, composed of selection and nullification of the tuples in a hyper-relation. The algorithm is applicable to a wide range of multiblock (nested) select-project-(outer) join queries.
Dragan Milicev, Zivojin Sustran
IEEE Trans. Knowl. Data Eng.2