EDBT 2026 Demo / reviewers in the wild / expert
P. G. Reddy
dblp:67/4518
· DBLP profile ↗
6ranked-venue papers
2as first author
0since 2021 · last 1994
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Databases, data management, data science and information retrieval · 3 · 2 first-authorArtificial intelligence and machine learning · 2Theory of computation · 2 · 2 first-authorGraphics, computer vision, multimedia, augmented reality and games · 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 |
Data integration and cleaning · 91% Database theory · 9% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Data integration and cleaning › data fusion
conflict resolution |
0.0 | 1 | 1994 | A Methodology for Integration of Heterogeneous Databases · IEEE Trans. Knowl. Data Eng. 1994 |
Data integration and cleaning
heterogeneous data integration |
0.0 | 1 | 1994 | A Methodology for Integration of Heterogeneous Databases · IEEE Trans. Knowl. Data Eng. 1994 |
Data integration and cleaning
schema integration |
0.0 | 1 | 1994 | A Methodology for Integration of Heterogeneous Databases · IEEE Trans. Knowl. Data Eng. 1994 |
Database theory
database schema |
0.0 | 1 | 1994 | A Methodology for Integration of Heterogeneous Databases · IEEE Trans. Knowl. Data Eng. 1994 |
Methods — techniques the papers use, named apart from their topics
property equivalence classes · 0.0object equivalence classes · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1994 | A Methodology for Integration of Heterogeneous DatabasesabstractThe transformation of existing local databases to meet diverse application needs at the global level is performed through a four-layered procedure that stresses total schema integration and virtual integration of local databases. The proposed methodology covers both schema integration and database integration, and uses a four-layered schema architecture (local schemata, local object schemata, global schema, and global view schemata) with each layer presenting an integrated view of the concepts that characterize the layer below. Mechanisms for accomplishing this objective are presented in theoretical terms, along with a running example. Object equivalence classes, property equivalence classes, and other related concepts are discussed in the context of logical integration of heterogeneous schemata, while object instance equivalence classes and property instance equivalence classes, and other related concepts are discussed for data integration purposes. The proposed methodology resolves naming conflicts, scaling conflicts, type conflicts, and level of abstraction, and other types of conflicts during schema integration, and data inconsistencies during data integration.> M. P. Reddy, Bandreddi E. Prasad, P. G. Reddy, Amar Gupta |
IEEE Trans. Knowl. Data Eng. | 3 |
| 1992 | Framework for modeling and analysis of distributed problem-solving systems
Garimella Uma, Bandreddi E. Prasad, P. G. Reddy |
Knowl. Based Syst. | 3 |
| 1990 | Polygonal representation by edge k-d trees
B. Lavakusha, Arun K. Pujari, P. G. Reddy |
Pattern Recognit. Lett. | 3 |
| 1989 | Linear octrees by volume intersection
B. Lavakusha, Arun K. Pujari, P. G. Reddy |
Comput. Vis. Graph. Image Process. | 3 |
| 1982 | A Model of Concurrency Control in Distributed Database Systems
P. G. Reddy, Subhash Bhalla, Bandreddi E. Prasad |
Inf. Process. Lett. | 1 |
| 1982 | Robust, Centralized Certifier Based Concurrency Control for Distributed Databases
P. G. Reddy, Subhash Bhalla, Bandreddi E. Prasad |
Inf. Process. Lett. | 1 |