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Kenneth E. McCloskey

dblp:11/2417 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 1993
—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
Data integration and cleaning · 44% Information retrieval · 44% Indexing and storage engines · 13%

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

TopicWeightPapersLastEvidence papers
Data integration and cleaning
heterogeneous data integration
0.011993
Access to Indexed Hierarchical Databases Using a Relational Query Language · IEEE Trans. Knowl. Data Eng. 1993
Information retrieval › cross-language information retrieval
query translation
0.011993
Access to Indexed Hierarchical Databases Using a Relational Query Language · IEEE Trans. Knowl. Data Eng. 1993
Indexing and storage engines › index management
secondary index selection
0.011993
Access to Indexed Hierarchical Databases Using a Relational Query Language · IEEE Trans. Knowl. Data Eng. 1993

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

query translation · 0.0index selection · 0.0
YearPublicationVenuePosition
1993 Access to Indexed Hierarchical Databases Using a Relational Query Language
abstract
An efficient means of accessing indexed hierarchical databases using a relational query language is presented. The purpose is to achieve an effective sharing of heterogeneous distributed databases. Translation of hierarchical data to an equivalent relational data definition, translation of a relational query language statement to an equivalent program that can be processed by a hierarchical database management system, and automatic selection of secondary indexes of hierarchical databases are investigated. A major portion of the result has been implemented, and the performance of the implemented system is analyzed. The performance of the system is satisfactory for a wide range of test data and test queries. It is shown that the utilization of the secondary index significantly enhances the efficiency in accessing hierarchical databases.>
Chin-Wan Chung, Kenneth E. McCloskey
IEEE Trans. Knowl. Data Eng.2