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Arthur Toya

dblp:23/3021 · DBLP profile ↗
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1ranked-venue papers
0as 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 · 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
Spatial and temporal data management · 50% Database system architecture and tuning · 50%
Interdisciplinary, comprehensive, and emerging computing
1 paper
Medical and health informatics · 100%

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

TopicWeightPapersLastEvidence papers
Database system architecture and tuning › extensible database system
DBMS extension
0.011994
QBISM: Extending a DBMS to Support 3D Medical Images · ICDE 1994
Spatial and temporal data management
spatial databases
0.011994
QBISM: Extending a DBMS to Support 3D Medical Images · ICDE 1994
Medical and health informatics › neuroimaging
functional brain mapping
0.011994
QBISM: Extending a DBMS to Support 3D Medical Images · ICDE 1994

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

spatial filtering · 0.0
YearPublicationVenuePosition
1994 QBISM: Extending a DBMS to Support 3D Medical Images
abstract
Describes the design and implementation of QBlSM (Query By Interactive, Spatial Multimedia), a prototype for querying and visualizing 3D spatial data. The first application is in an area in medical research, in particular, Functional Brain Mapping. The system is built on top of the Starburst DBMS extended to handle spatial data types, specifically, scalar fields and arbitrary regions of space within such fields. The authors list the requirements of the application, discuss the logical and physical database design issues, and present timing results from their prototype. They observed that the DBMS' early spatial filtering results in significant performance savings because the system response time is dominated by the amount of data retrieved, transmitted, and rendered.>
Manish Arya, William F. Cody, Christos Faloutsos, Joel E. Richardson, Arthur Toya
ICDE5