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13th IEEE Symposium on Computer-Based Medical Systems (CBMS'00)
Efficient Schema Design for a Pharmaceutical Data Repository
Houston, Texas
June 23-June 24
ISBN: 0-7695-0484-1
ASCII Text
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Yang Liu, Zina Ben Miled, Omran Bukhres, Michael Bem, Robert Jones, Robert Oppelt, "Efficient Schema Design for a Pharmaceutical Data Repository," Computer-Based Medical Systems, IEEE Symposium on, pp. 247, 13th IEEE Symposium on Computer-Based Medical Systems (CBMS'00), 2000.
 
 
BibTex
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@article{ 10.1109/CBMS.2000.856907,
author = {Yang Liu and Zina Ben Miled and Omran Bukhres and Michael Bem and Robert Jones and Robert Oppelt},
title = {Efficient Schema Design for a Pharmaceutical Data Repository},
journal ={Computer-Based Medical Systems, IEEE Symposium on},
volume = {0},
year = {2000},
issn = {1063-7125},
pages = {247},
doi = {http://doi.ieeecomputersociety.org/10.1109/CBMS.2000.856907},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Computer-Based Medical Systems, IEEE Symposium on
TI - Efficient Schema Design for a Pharmaceutical Data Repository
SN - 1063-7125
SP
EP
A1 - Yang Liu,
A1 - Zina Ben Miled,
A1 - Omran Bukhres,
A1 - Michael Bem,
A1 - Robert Jones,
A1 - Robert Oppelt,
PY - 2000
KW - schema design
KW - schema transformation
KW - performance
KW - data access
KW - large databases
VL - 0
JA - Computer-Based Medical Systems, IEEE Symposium on
ER -
 
Yang Liu, Purdue University
Zina Ben Miled, Purdue University
Omran Bukhres, Purdue University
Michael Bem, Eli Lilly & Company
Robert Jones, Eli Lilly & Company
Robert Oppelt, Eli Lilly & Company
Large scientific databases often consist of heterogeneous components that differ in the number of attributes and the number of tuples. In this paper, we show that increased performance is achieved when a complex schema is used to represent different components of a data repository. The driving application used in this study is a pharmaceutical drug repository. The types of access patterns associated with this repository consist of the retrieval of a selected set of attribute values for a consecutive or a random set of tuples. These consecutive and random access patterns, which are typical of a drug discovery experiment, are used to measure the data retrieval throughput for different schemas.
Index Terms:
schema design, schema transformation, performance, data access, large databases
Citation:
Yang Liu, Zina Ben Miled, Omran Bukhres, Michael Bem, Robert Jones, Robert Oppelt, "Efficient Schema Design for a Pharmaceutical Data Repository," cbms, pp.247, 13th IEEE Symposium on Computer-Based Medical Systems (CBMS'00), 2000
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