Demo Data from SIGIR 2026 / reviewers in the wild / expert
Zezhou Liu
dblp:181/5748
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2016
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Databases, data management, data science and information retrieval · 1 · 1 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
1 paper |
Database system architecture and tuning · 54% Query processing and optimization · 46% |
Topics — the 5 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Database system architecture and tuning › database design › physical database design
denormalization |
0.2 | 1 | 2016 | Main Memory Adaptive Denormalization · SIGMOD Conference 2016 |
Query processing and optimization › query optimization
join avoidance |
0.2 | 1 | 2016 | Main Memory Adaptive Denormalization · SIGMOD Conference 2016 |
Query processing and optimization
join processing |
0.2 | 1 | 2016 | Main Memory Adaptive Denormalization · SIGMOD Conference 2016 |
Database system architecture and tuning › database design
physical database design |
0.2 | 1 | 2016 | Main Memory Adaptive Denormalization · SIGMOD Conference 2016 |
Database system architecture and tuning
main-memory database |
0.1 | 1 | 2016 | Main Memory Adaptive Denormalization · SIGMOD Conference 2016 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2016 | Main Memory Adaptive DenormalizationabstractJoins have traditionally been the most expensive database operator, but they are required to query normalized schemas. In turn, normalized schemas are necessary to minimize update costs and space usage. Joins can be avoided altogether by using a denormalized schema instead of a normalized schema; this improves analytical query processing times at the tradeof increased update overhead, loading cost, and storage requirements. Zezhou Liu, Stratos Idreos |
SIGMOD Conference | 1 |