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Huei-Huang Chen

dblp:44/1046 · DBLP profile ↗
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5ranked-venue papers
3as first author
0since 2021 · last 2004
—ORCID · none

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

Databases, data management, data science and information retrieval · 4 · 3 first-authorSystems, architecture and hardware · 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
Query processing and optimization · 39% Data models and query languages · 30% Information retrieval · 30%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Information retrieval › retrieval models
graph-based retrieval		 0.011984
Combining Relational and Network Retrieval Methods · SIGMOD Conference 1984
Query processing and optimization
join processing		 0.011984
Combining Relational and Network Retrieval Methods · SIGMOD Conference 1984
Data models and query languages › data modeling
network data model		 0.011984
Combining Relational and Network Retrieval Methods · SIGMOD Conference 1984
Query processing and optimization
query execution		 0.011984
Combining Relational and Network Retrieval Methods · SIGMOD Conference 1984

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

relation joining · 0.0network query evaluation · 0.0
YearPublicationVenuePosition
2004 Implementing Data Cubes via Subcubes
Huei-Huang Chen, Kuo-Wei Ho
 IDEAS1
1990 Response time analysis of using a parallel join algorithm on a multiprocessor backend machine
Huei-Huang Chen, Guang-Sheen Liu
 Inf. Syst.1
1988 Parallel merging of lists in database management system
Guang-Sheen Liu, Huei-Huang Chen
 Inf. Syst.2
1987 Performance Analysis for a Join Processor
Guang-Sheen Liu, Huei-Huang Chen
 ICS2
1984 Combining Relational and Network Retrieval Methods
abstract
New methods for retrieving records from a database with links are given so that records are retrieved only once and not multiple times as happens when using the traditional method of retrieval Improvements as great as 50 percent are expected for queries over databases containing only many-to-one relationships and much greater improvements are expected when many-to-many relationships are embedded in the database Furthermore, it is shown how to combine relational and network retrieval methods Relations, containing many tuples, are created during the evaluation of a network query Each relation is either joined with other relations or is used to continue the evaluation of the network query The methods given show how to optimize data retrieval from a relational database that is implemented using links, where each link represents a many-to-one relationship
Huei-Huang Chen, Sharon McCure Kuck
 SIGMOD Conference1