Demo Data from EDBT 2026 / reviewers in the wild / expert
Thomas K. W. Tsou
dblp:54/6811
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 1984
—ORCID · none
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 |
Indexing and storage engines · 44% Database theory · 44% Query processing and optimization · 13% | |
| Theoretical computer science
1 paper |
Computational complexity · 100% |
Topics — the 2 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Database theory › database design theory
consecutive retrieval property |
0.0 | 1 | 1984 | Organization of Clustered Files for Consecutive Retrieval · ACM Trans. Database Syst. 1984 |
Indexing and storage engines
file organization |
0.0 | 1 | 1984 | Organization of Clustered Files for Consecutive Retrieval · ACM Trans. Database Syst. 1984 |
Methods — techniques the papers use, named apart from their topics
linear-time algorithm · 0.0heuristic algorithm · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1984 | Organization of Clustered Files for Consecutive RetrievalabstractThis paper studies the problem of storing single-level and multilevel clustered files. Necessary and sufficient conditions for a single-level clustered file to have the consecutive retrieval property (CRP) are developed. A linear time algorithm to test the CRP for a given clustered file and to identify the proper arrangement of objects, if CRP exists, is presented. For the single-level clustered files that do not have CRP, it is shown that the problem of identifying a storage organization with minimum redundancy is NP-complete. Consequently, an efficient heuristic algorithm to generate a good storage organization for such files is developed. Furthermore, it is shown that, for certain types of multilevel clustered files, there exists a storage organization such that the objects in each cluster, for all clusters in each level of the clustering, appear in consecutive locations. Jitender S. Deogun, Vijay Raghavan 0001, Thomas K. W. Tsou |
ACM Trans. Database Syst. | 3 |