DTMBIO 2015: International workshop on data and text mining in biomedical informatics

Min Song, Doheon Lee, Karin Verspoor

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

Abstract

Held each year in conjunction with one of the largest data management conferences, CIKM, the Ninth ACM International Workshop on Data and Text Mining in Biomedical Informatics (DTMBIO'15) is organized to bring together researchers interested in development and application of cutting-edge data management and analysis methods with a specific focus on applications in biology and medicine. The purpose of DTMBIO is to foster discussions regarding the state-of-the-art applications of data and text mining on biomedical research problems. DTMBIO'15 will help scientists understand emerging trends and opportunities in the evolving area of informatics related techniques and problems in the context of biomedical research.

Original languageEnglish
Title of host publicationCIKM 2015 - Proceedings of the 24th ACM International Conference on Information and Knowledge Management
PublisherAssociation for Computing Machinery
Pages1941-1942
Number of pages2
ISBN (Electronic)9781450337946
DOIs
Publication statusPublished - 2015 Oct 17
Event24th ACM International Conference on Information and Knowledge Management, CIKM 2015 - Melbourne, Australia
Duration: 2015 Oct 192015 Oct 23

Publication series

NameInternational Conference on Information and Knowledge Management, Proceedings
Volume19-23-Oct-2015

Other

Other24th ACM International Conference on Information and Knowledge Management, CIKM 2015
CountryAustralia
CityMelbourne
Period15/10/1915/10/23

Fingerprint

Text mining
Data mining
Informatics
Biomedical research
Data management
Medicine

All Science Journal Classification (ASJC) codes

  • Decision Sciences(all)
  • Business, Management and Accounting(all)

Cite this

Song, M., Lee, D., & Verspoor, K. (2015). DTMBIO 2015: International workshop on data and text mining in biomedical informatics. In CIKM 2015 - Proceedings of the 24th ACM International Conference on Information and Knowledge Management (pp. 1941-1942). (International Conference on Information and Knowledge Management, Proceedings; Vol. 19-23-Oct-2015). Association for Computing Machinery. https://doi.org/10.1145/2806416.2806880
Song, Min ; Lee, Doheon ; Verspoor, Karin. / DTMBIO 2015 : International workshop on data and text mining in biomedical informatics. CIKM 2015 - Proceedings of the 24th ACM International Conference on Information and Knowledge Management. Association for Computing Machinery, 2015. pp. 1941-1942 (International Conference on Information and Knowledge Management, Proceedings).
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Song, M, Lee, D & Verspoor, K 2015, DTMBIO 2015: International workshop on data and text mining in biomedical informatics. in CIKM 2015 - Proceedings of the 24th ACM International Conference on Information and Knowledge Management. International Conference on Information and Knowledge Management, Proceedings, vol. 19-23-Oct-2015, Association for Computing Machinery, pp. 1941-1942, 24th ACM International Conference on Information and Knowledge Management, CIKM 2015, Melbourne, Australia, 15/10/19. https://doi.org/10.1145/2806416.2806880

DTMBIO 2015 : International workshop on data and text mining in biomedical informatics. / Song, Min; Lee, Doheon; Verspoor, Karin.

CIKM 2015 - Proceedings of the 24th ACM International Conference on Information and Knowledge Management. Association for Computing Machinery, 2015. p. 1941-1942 (International Conference on Information and Knowledge Management, Proceedings; Vol. 19-23-Oct-2015).

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

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Song M, Lee D, Verspoor K. DTMBIO 2015: International workshop on data and text mining in biomedical informatics. In CIKM 2015 - Proceedings of the 24th ACM International Conference on Information and Knowledge Management. Association for Computing Machinery. 2015. p. 1941-1942. (International Conference on Information and Knowledge Management, Proceedings). https://doi.org/10.1145/2806416.2806880