Demo Data from EDBT 2026 / reviewers in the wild / expert
P. Mukhopadhyay
dblp:23/5596
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 1988
—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 · 100% | |
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Performance modeling and evaluation · 100% |
Topics — the 1 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Indexing and storage engines
file organization |
0.0 | 1 | 1988 | Analysis of Bounded Disorder File Organization · PODS 1988 |
Methods — techniques the papers use, named apart from their topics
probability modeling · 0.0occupancy problem analysis · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1988 | Analysis of Bounded Disorder File OrganizationabstractRecently Litwin and Lomet proposed the Bounded Disorder (BD) file organization which uses a combination of hashing and tree indexing Lomet provided an approximate analysis with a mention of the difficulty involved in exact modeling and analysis. The performance analysis of the method involves solving a classical sequential occupancy problem. We encountered this problem in our attempt to obtain a general model for single access and almost single access retrieval methods developed in the recent years. In this paper, we develop a probability model and present some preliminary results of the exact analysis. M. V. Ramakrishna, P. Mukhopadhyay |
PODS | 2 |