EDBT 2026 Demo / reviewers in the wild / expert
Keith L. Kelley
dblp:70/4616
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 1986
—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 |
Information retrieval · 44% Indexing and storage engines · 44% Query processing and optimization · 13% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Information retrieval › hashing › hash table design
extendible hashing |
0.0 | 1 | 1986 | Implementation of Multi-Key Extendible Hashing as an Access Method for a Relational DBMS · ICDE 1986 |
Indexing and storage engines › multidimensional indexing
multiattribute indexing |
0.0 | 1 | 1986 | Implementation of Multi-Key Extendible Hashing as an Access Method for a Relational DBMS · ICDE 1986 |
Query processing and optimization › selection queries
partial match query |
0.0 | 1 | 1986 | Implementation of Multi-Key Extendible Hashing as an Access Method for a Relational DBMS · ICDE 1986 |
Methods — techniques the papers use, named apart from their topics
multi-key hashing · 0.0extendible hashing · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1986 | Implementation of Multi-Key Extendible Hashing as an Access Method for a Relational DBMSabstractExtendible hashing addressing schemes have been introduced to resolve collisions and improve storage utilization by dynamically adjusting the address space and modifying the hash function. Recently, generalizations of extendible hashing have been proposed which allow multi-attribute keys to be used for improved partial-match query performance. In this paper the design and implementation of a multi-key extendible hashing access method for a relational DBMS is presented. The results of an experimental evaluation of performance of multi-key extendible hashing in a testbed relational DBMS suggest that for a wide class of queries it constitutes a viable alternative to ISAM-like files. The limitations of multi-key extendible hashing files and research problems which have to be solved before a practical access method for a relational DBMS can be developed are also discussed. Keith L. Kelley, Marek Rusinkiewicz |
ICDE | 1 |