Optimizing ranked retrieval over categorical attributes

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

As the entry and archival of medical data are being digitized, more and more medical data are becoming accessible. This paper studies how to enable an effective retrieval of medical, data by ranked retrieval of only the most relevant highly-ranked data. While ranked retrieval has been actively studied lately, existing works have focused mainly on supporting ranking over numerical or text data. However, many existing medical data contain a large amount of categorical attributes, e.g., gender, race profile, or pain type, which cannot be efficiently supported by either line of existing algorithms-Unlike numerical attributes where a natural ordering is inherent, formulating and processing ranked retrieval over categorical attributes with no such ordering are challenging. This paper studies an efficient and effective support of ranking over categorical data, and also a uniform support with other types of attributes, e.g., numerical attributes.

Original languageEnglish
Title of host publicationProceedings - 19th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2006
Pages51-56
Number of pages6
DOIs
Publication statusPublished - 2006 Dec 22
Event19th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2006 - Salt Lake City, UT, United States
Duration: 2006 Jun 222006 Jun 23

Publication series

NameProceedings - IEEE Symposium on Computer-Based Medical Systems
Volume2006
ISSN (Print)1063-7125

Other

Other19th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2006
CountryUnited States
CitySalt Lake City, UT
Period06/6/2206/6/23

Fingerprint

Information Storage and Retrieval
Pain
Processing

All Science Journal Classification (ASJC) codes

  • Radiology Nuclear Medicine and imaging
  • Computer Science Applications

Cite this

Hwang, S. (2006). Optimizing ranked retrieval over categorical attributes. In Proceedings - 19th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2006 (pp. 51-56). [1647545] (Proceedings - IEEE Symposium on Computer-Based Medical Systems; Vol. 2006). https://doi.org/10.1109/CBMS.2006.126
Hwang, Seungwon. / Optimizing ranked retrieval over categorical attributes. Proceedings - 19th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2006. 2006. pp. 51-56 (Proceedings - IEEE Symposium on Computer-Based Medical Systems).
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Hwang, S 2006, Optimizing ranked retrieval over categorical attributes. in Proceedings - 19th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2006., 1647545, Proceedings - IEEE Symposium on Computer-Based Medical Systems, vol. 2006, pp. 51-56, 19th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2006, Salt Lake City, UT, United States, 06/6/22. https://doi.org/10.1109/CBMS.2006.126

Optimizing ranked retrieval over categorical attributes. / Hwang, Seungwon.

Proceedings - 19th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2006. 2006. p. 51-56 1647545 (Proceedings - IEEE Symposium on Computer-Based Medical Systems; Vol. 2006).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Hwang S. Optimizing ranked retrieval over categorical attributes. In Proceedings - 19th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2006. 2006. p. 51-56. 1647545. (Proceedings - IEEE Symposium on Computer-Based Medical Systems). https://doi.org/10.1109/CBMS.2006.126