Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Fa-Chung Fred Chen

dblp:93/4803 · DBLP profile ↗
← Back
1ranked-venue papers
1as first author
0since 2021 · last 1998
—ORCID · none

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

Databases, data management, data science and information retrieval · 1 · 1 first-author

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
Query processing and optimization · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Query processing and optimization › multi-query optimization
common subexpression elimination
0.011998
Common Subexpression Processing in Multiple-Query Processing · IEEE Trans. Knowl. Data Eng. 1998
Query processing and optimization
multiple-query processing
0.011998
Common Subexpression Processing in Multiple-Query Processing · IEEE Trans. Knowl. Data Eng. 1998

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

multigraph representation · 0.0
YearPublicationVenuePosition
1998 Common Subexpression Processing in Multiple-Query Processing
abstract
The efficiency of common subexpression identification is critical to the performance of multiple-query processing. In this paper, we develop a multigraph for representing and facilitating the processing of multiple queries. In addition to the traditional multiple-query processing approaches in exploiting common subexpressions for identical and subsumption cases, the proposed multigraph processing also covers the overlap case. A performance study shows the viability of this technique when compared to an earlier multigraph approach.
Fa-Chung Fred Chen, Margaret H. Dunham
IEEE Trans. Knowl. Data Eng.1