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V. Krishnaprasad

dblp:95/1588 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 1995
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Databases, data management, data science and information retrieval · 2

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
2 papers
Database system architecture and tuning · 77% Data models and query languages · 12% Web and social media mining · 11%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Database system architecture and tuning
active database
0.021995
ECA Rule Integration into an OODBMS: Architecture and Implementation · ICDE 1995
Composite Events for Active Databases: Semantics, Contexts and Detection · VLDB 1994
Data models and query languages
object-oriented database
0.011995
ECA Rule Integration into an OODBMS: Architecture and Implementation · ICDE 1995
Web and social media mining
event detection
0.011994
Composite Events for Active Databases: Semantics, Contexts and Detection · VLDB 1994

Methods — techniques the papers use, named apart from their topics

rule execution model · 0.0composite event detection · 0.0composite event semantics · 0.0
YearPublicationVenuePosition
1995 ECA Rule Integration into an OODBMS: Architecture and Implementation
abstract
Making a database system active entails not only the specification of expressive ECA (event-condition-action) rules, algorithms for the detection of composite events, and rule management, but also a viable architecture for rule execution that extends a passive DBMS, and its implementation. We propose an integrated active DBMS architecture for incorporating ECA rules using the Open OODB Toolkit (from Texas Instruments). We then describe the implementation of the composite event detector, and rule execution model for object-oriented active DBMS. Finally, the functionality supported by this architecture and its extensibility are analyzed along with the experiences gained.>
Sharma Chakravarthy, V. Krishnaprasad, Z. Tamizuddin, R. H. Badani
ICDE2
1994 Composite Events for Active Databases: Semantics, Contexts and Detection
Sharma Chakravarthy, V. Krishnaprasad, Eman Anwar, S.-K. Kim
VLDB2