Towards an intelligent data type for toxicity

Damian McCourt, Jesús López, Emilio Benfenati, Paolo Mazzatorta, Mathilde Romberg, Bernd Schuller, Werner Dubitzky

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

Abstract

Data analysis in bioinformatics relies heavily on statistics and machine learning. Many of these approaches use simplistic formats for representing real-world objects. Recent computational methods rely on more structured representations. This paper presents an object-oriented approach to model toxicity as an intelligent data type. The intelligent data type representing toxicity is potentially useful for a wide range of bioinformatics methodologies and systems including data warehousing, data mining, knowledge-based and simulation systems, and within distributed computing environments such as emerging Grid applications.

Original languageEnglish
Title of host publicationProceedings of the International Conference on Artificial Intelligence IC-AI 2003
EditorsH.R. Arabnia, R. Joshua, Y. Mun, H.R. Arabnia, R. Joshua, Y. Mun
Pages328-334
Number of pages7
Volume1
Publication statusPublished - 2003
EventProceedings of the International Conference on Artificial Intelligence, IC-AI 2003 - Las Vegas, NV, United States
Duration: Jun 23 2003Jun 26 2003

Other

OtherProceedings of the International Conference on Artificial Intelligence, IC-AI 2003
CountryUnited States
CityLas Vegas, NV
Period6/23/036/26/03

Fingerprint

Bioinformatics
Toxicity
Data warehouses
Distributed computer systems
Computational methods
Data mining
Learning systems
Statistics

Keywords

  • Bioinformatics
  • Data integration
  • Data mining
  • Grid
  • Intelligent data types
  • Toxicity

ASJC Scopus subject areas

  • Artificial Intelligence

Cite this

McCourt, D., López, J., Benfenati, E., Mazzatorta, P., Romberg, M., Schuller, B., & Dubitzky, W. (2003). Towards an intelligent data type for toxicity. In H. R. Arabnia, R. Joshua, Y. Mun, H. R. Arabnia, R. Joshua, & Y. Mun (Eds.), Proceedings of the International Conference on Artificial Intelligence IC-AI 2003 (Vol. 1, pp. 328-334)

Towards an intelligent data type for toxicity. / McCourt, Damian; López, Jesús; Benfenati, Emilio; Mazzatorta, Paolo; Romberg, Mathilde; Schuller, Bernd; Dubitzky, Werner.

Proceedings of the International Conference on Artificial Intelligence IC-AI 2003. ed. / H.R. Arabnia; R. Joshua; Y. Mun; H.R. Arabnia; R. Joshua; Y. Mun. Vol. 1 2003. p. 328-334.

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

McCourt, D, López, J, Benfenati, E, Mazzatorta, P, Romberg, M, Schuller, B & Dubitzky, W 2003, Towards an intelligent data type for toxicity. in HR Arabnia, R Joshua, Y Mun, HR Arabnia, R Joshua & Y Mun (eds), Proceedings of the International Conference on Artificial Intelligence IC-AI 2003. vol. 1, pp. 328-334, Proceedings of the International Conference on Artificial Intelligence, IC-AI 2003, Las Vegas, NV, United States, 6/23/03.
McCourt D, López J, Benfenati E, Mazzatorta P, Romberg M, Schuller B et al. Towards an intelligent data type for toxicity. In Arabnia HR, Joshua R, Mun Y, Arabnia HR, Joshua R, Mun Y, editors, Proceedings of the International Conference on Artificial Intelligence IC-AI 2003. Vol. 1. 2003. p. 328-334
McCourt, Damian ; López, Jesús ; Benfenati, Emilio ; Mazzatorta, Paolo ; Romberg, Mathilde ; Schuller, Bernd ; Dubitzky, Werner. / Towards an intelligent data type for toxicity. Proceedings of the International Conference on Artificial Intelligence IC-AI 2003. editor / H.R. Arabnia ; R. Joshua ; Y. Mun ; H.R. Arabnia ; R. Joshua ; Y. Mun. Vol. 1 2003. pp. 328-334
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