Case-based reasoning enabling database mining for cryo-preserving algae applications

Jun Wang, Huiqin Ren

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

Abstract

Case-based Reasoning's (CBR) origins were stimulated by a desire to understand how people remember information and are in turn reminded of information, and that subsequently it was recognized that people commonly solve problems by remembering how they solved similar problems in the past. Thus CBR became an appropriate way to find out the most suitable solution method for a new problem based on the old methods for the same or even similar problems. The research highlights how to use CBR to aid biologists in finding the best method to cryo preserve algae. The study found CBR could be used successfully to find the similarity percentage between the new algae and old cases in the case base. The prediction result showed approximately 93.75% accuracy, which proves the CBR system can offer appropriate recommendations for most situations.

Original languageEnglish
Title of host publication2011 International Conference on Internet Computing and Information Services
Place of PublicationPiscataway, NJ (US)
PublisherIEEE
Pages16-19
Number of pages4
ISBN (Electronic)978-0-7695-4539-4
ISBN (Print)978-1-4577-1561-7
DOIs
Publication statusPublished - Nov 2011
Event2011 International Conference on Internet Computing and Information Services - Hong Kong, China
Duration: 17 Sep 201118 Sep 2011

Conference

Conference2011 International Conference on Internet Computing and Information Services
Abbreviated titleICICIS 2011
CountryChina
CityHong Kong
Period17/09/1118/09/11

Fingerprint

Case based reasoning
Algae

Keywords

  • algal
  • case-based Reasoning
  • CBR
  • COBRA
  • cryopreservation

Cite this

Wang, J., & Ren, H. (2011). Case-based reasoning enabling database mining for cryo-preserving algae applications. In 2011 International Conference on Internet Computing and Information Services (pp. 16-19). Piscataway, NJ (US): IEEE. https://doi.org/10.1109/ICICIS.2011.11
Wang, Jun ; Ren, Huiqin. / Case-based reasoning enabling database mining for cryo-preserving algae applications. 2011 International Conference on Internet Computing and Information Services. Piscataway, NJ (US) : IEEE, 2011. pp. 16-19
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Wang, J & Ren, H 2011, Case-based reasoning enabling database mining for cryo-preserving algae applications. in 2011 International Conference on Internet Computing and Information Services. IEEE, Piscataway, NJ (US), pp. 16-19, 2011 International Conference on Internet Computing and Information Services, Hong Kong, China, 17/09/11. https://doi.org/10.1109/ICICIS.2011.11

Case-based reasoning enabling database mining for cryo-preserving algae applications. / Wang, Jun; Ren, Huiqin.

2011 International Conference on Internet Computing and Information Services. Piscataway, NJ (US) : IEEE, 2011. p. 16-19.

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

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Wang J, Ren H. Case-based reasoning enabling database mining for cryo-preserving algae applications. In 2011 International Conference on Internet Computing and Information Services. Piscataway, NJ (US): IEEE. 2011. p. 16-19 https://doi.org/10.1109/ICICIS.2011.11