EDBT 2026 Demo / reviewers in the wild / expert
Anna Wagner
dblp:148/2221
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2014
—ORCID · unresolved
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 |
Query processing and optimization · 67% Data models and query languages · 33% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Query processing and optimization
query rewriting |
0.2 | 1 | 2014 | Complex SQL Predicates as Quantifiers · IEEE Trans. Knowl. Data Eng. 2014 |
Query processing and optimization › query execution
relational operators |
0.2 | 1 | 2014 | Complex SQL Predicates as Quantifiers · IEEE Trans. Knowl. Data Eng. 2014 |
Data models and query languages
SQL |
0.2 | 1 | 2014 | Complex SQL Predicates as Quantifiers · IEEE Trans. Knowl. Data Eng. 2014 |
Methods — techniques the papers use, named apart from their topics
dynamic programming · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2014 | Complex SQL Predicates as QuantifiersabstractWe propose a logical framework to analyze complex predicates (those involving a subquery) in SQL. We propose a new operator in the relational algebra for handling such predicates, and study its properties and how it combines with traditional relational operator. We focus on predicates of the form att θ MOD S, where att is an attribute, θ a comparison operator, MOD is one of SOME or ALL, and S is a (correlated or non-correlated) subquery. We provide a formal characterization of these predicate, as well as an implementation and optimization strategies for it. We show that our approach is extendible, so we can support the expression and optimization of other, similar predicates. Finally, we describe experimental evidence that the proposed approach is more efficient than the traditional approach across a variety of conditions. Antonio Badia, Anna Wagner |
IEEE Trans. Knowl. Data Eng. | 2 |