Osmar R. Zaïane

Osmar R. Zaïane is a computer scientist who specializes in data mining and machine learning research at the University of Alberta.

• Context:
  • They can range from being a Junior Researcher to being a Distinguished Professor, depending on its career progression.
  • They can range from being a Local Academic to being an International Research Leader, depending on its professional recognition.
  • ...
  • They can serve as Professor in the Department of Computing Science at the University of Alberta (since 1999).
  • They can hold Canada CIFAR AI Chair recognition for artificial intelligence research.
  • They can maintain Fellow status at the Alberta Machine Intelligence Institute (Amii).
  • They can possess Fellow membership in the Canadian Academy of Engineering (as of 2023).
  • They can have German Birth Origin (born April 11, 1965 in Bad Kissingen, Germany).
  • They can have Tunisian Upbringing with early years in Ariana, Tunisia.
  • They can often contribute Scientific Publications to data mining conferences and machine learning journals.
  • They can often provide Research Leadership for graduate students and research projects.
  • They can often deliver Keynote Presentations at international conferences.
  • They can often collaborate with Research Colleagues including Jiawei Han, Gabor Melli, and Wei Wang.
  • They can have received IEEE ICDM Outstanding Service Award (2009).
  • They can have received ACM SIGKDD Service Award (2010).
  • They can have served as Scientific Director of Alberta Machine Intelligence Institute (2009-2020).
  • They can have served as ACM SIGKDD Secretary-Treasurer (2009-2012).
  • They can have served as SIGKDD Explorations Editor-in-Chief (2008-2010).
  • They can have published over 400 Scientific Papers in refereed publications.
  • They can have earned Ph.D. from Simon Fraser University under Jiawei Han (1999).
  • They can have achieved over 23,000 Citations according to Google Scholar.
  • ...
• Examples:
  • Research Contributions, such as:
    • Data Mining Algorithms for pattern discovery and knowledge extraction.
    • Web Mining Techniques for web access patterns and web log analysis.
    • Privacy-Preserving Data Mining Methods for sensitive data analysis.
    • Social Network Analysis Techniques for information networks.
    • Medical Informatics Applications for healthcare data analysis.
    • Clustering Algorithms for web session analysis.
  • Professional Services, such as:
    • ACM SIGKDD Secretary-Treasurer role (2009-2012).
    • SIGKDD Explorations Editor-in-Chief position (2008-2010).
    • Conference Organization Roles for IEEE ICDM, PAKDD, and ADMA.
    • Journal Editorial Board Membership for multiple data mining journals.
  • Academic Achievements, such as:
    • Killam Professorship Award for research excellence.
    • McCalla Research Professorship for academic contributions.
    • Canada CIFAR AI Chair appointment for AI research leadership.
    • Fellow election to Canadian Academy of Engineering (2023).
  • Notable Publications, such as:
    • 2015 RecognitionofPatientRelatedName with Mi-Young Kim, Ying Xu, and Randy Goebel.
    • 2012 Top10DataMiningCaseStudies with Gabor Melli, Xindong Wu, and multiple co-authors.
    • 2002 ClusteringWebSessions with Weinan Wang.
    • 1995 KnowledgeMiningInDatabases with Jiawei Han, Gabor Melli, and Wei Wang.
  • ...
• Counter-Examples:
  • Database Administrators, which focus on database management rather than data mining research.
  • Software Engineers, which develop software applications rather than research algorithms.
  • Industry Data Scientists, which apply existing methods rather than developing new techniques.
  • Computer Science Students, which are learning foundational concepts rather than conducting original research.
• See: Web Data Mining, Medical Data Mining, Maria Lantin, Jiawei Han, Gabor Melli, Randy Goebel, Wei Wang, Data Mining Research Area, Alberta Machine Intelligence Institute, ACM SIGKDD, University of Alberta, Data Mining Researcher, Canadian AI Researcher.

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References

• Personal Homepage: http://webdocs.cs.ualberta.ca/~zaiane/
• Wikipedia Person Page: http://wikipedia.org/wiki/Osmar_R._Zaiane

2015

• (Kim et al., 2015) ⇒ Mi-Young Kim, Ying Xu, Osmar R. Zaiane, and Randy Goebel. (2015). “Recognition of Patient-Related Named Entities in Noisy Tele-Health Texts.” In: ACM Transactions on Intelligent Systems and Technology (TIST) Journal, 6(4). doi:10.1145/2651444

2012

• (Melli, Wu, et al., 2012) ⇒ Gabor Melli, Xindong Wu, Paul Beinat, Francesco Bonchi, Longbing Cao, Rong Duan, Christos Faloutsos, Rayid Ghani, Brendan Kitts, Bart Goethals, Geoff Mclachlan, Jian Pei, Ashok Srivastava, and Osmar R. Zaïane. (2011). “Top-10 Data Mining Case Studies.” In: International Journal of Information Technology & Decision Making, 11(2). doi: 10.1142/S021962201240007X

2002

• (Wang & Zaïane, 2002) ⇒ Weinan Wang, and Osmar R. Zaïane. (2002). “Clustering Web Sessions by Sequence Alignment.” In: Proceedings of the 13th International Workshop on Database and Expert Systems Applications

1998

• (Zaine et al., 1998) ⇒ Osmar R. Zaiane, Man Xin, and Jiawei Han. (1998). “Discovering web access patterns and trends by applying olap and data mining technology on web logs.” In: Advances in Digital Libraries .

1995

• (Han et al., 1995) ⇒ Jiawei Han, Yongjian Fu, Krzysztof Koperski, Gabor Melli, Wei Wang, and Osmar R. Zaiane. (1995). “Knowledge Mining in Databases: An Integration of Machine Learning Methodologies with Database Technologies." Canadian AI Magazine, 38.

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