Demo Data from EDBT 2026 / reviewers in the wild / expert
M. S. Krishnamoorthy
dblp:10/9
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 2008
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Security and privacy · 1Databases, 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.
| Theoretical computer science
1 paper |
Mathematical optimization · 50% Approximation and online algorithms · 50% | |
| Databases, data mining, and information retrieval
1 paper |
Distributed and cloud data management · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Distributed and cloud data management › data placement
file allocation |
0.0 | 1 | 1983 | An Approximation Algorithm to the File Allocation Problem in Computer Networks · PODS 1983 |
Approximation and online algorithms
approximation algorithms |
0.0 | 1 | 1983 | An Approximation Algorithm to the File Allocation Problem in Computer Networks · PODS 1983 |
Mathematical optimization
combinatorial optimization |
0.0 | 1 | 1983 | An Approximation Algorithm to the File Allocation Problem in Computer Networks · PODS 1983 |
Methods — techniques the papers use, named apart from their topics
approximation algorithm · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2008 | Models and methods for prediction problem of evolving graphsabstractThis paper concentrates on the prediction problem of evolving graphs. We provide five new models and methods for prediction problem of evolving graphs. We experiment each method on real-world evolving graph data which are football competition data, file sharing data, Enron e-mail data, and Eurovision data. Experimental results show that our prediction methods can predict the result with higher accuracy than the random prediction. A. Chapanond, M. S. Krishnamoorthy |
ISI | 2 |
| 1983 | An Approximation Algorithm to the File Allocation Problem in Computer NetworksabstractArticle An approximation algorithm to the file allocation problem in computer networks Share on Authors: Kowtha Murthy Paramus, New Jersey Paramus, New JerseyView Profile , John Kam Wang Research Laboratories, Waltham, Massachusetts Wang Research Laboratories, Waltham, MassachusettsView Profile , M. S. Krishnamoorthy Rensselaer Polytechnic Institute, Troy, New York Rensselaer Polytechnic Institute, Troy, New YorkView Profile Authors Info & Claims PODS '83: Proceedings of the 2nd ACM SIGACT-SIGMOD symposium on Principles of database systemsMarch 1983 Pages 258–266https://doi.org/10.1145/588058.588087Online:21 March 1983Publication History 10citation274DownloadsMetricsTotal Citations10Total Downloads274Last 12 Months1Last 6 weeks0 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteGet Access Kowtha Murthy, John B. Kam, M. S. Krishnamoorthy |
PODS | 3 |