Dr. Christie Ezeife

Full Professor
519-253-3000 ext. 3012
cezeife@uwindsor.ca
Office: 5103  LT

Education:

  • Ph.D., Computer Science, University of Manitoba, 1995;
  • MSc., Computer Science, Simon Fraser University, 1988. 

 

Dr. Christie Eziefe

Professional Affiliations:

  • Senior ACM professional Member, Association for Computing Machinery ACM)

Research Interests:

  • Physical design of database/warehouse systems (eg. data fragmentation)
  • Sequential pattern mining and other mining methods
  • Recommendation systems in domains (eg. Web, E-Commerce, Education)
  • Social network analysis (eg. influence maximization, posts mining)

Selected Publications:

  • Ejieh, Chukwuma., Ezeife, C. I.,  Chaturvedi, R. Mining Product Opinions with Most Frequent Clusters of Aspect Terms.  In proceedings of ACM SAC conference 2019, Lymassol Cyprus, April 8 – 12,2019, In press.
  • Ying Xiao, C. I. Ezeife,  E-commerce Product Recommendation Using Historical Purchases and Clickstream Data,  20th  International Conference on Big Data Analytics and Knowledge Discovery - DaWaK 2018, Regensburg, Germany, September 3 - 6, 2018,  Springer’s LNCS 11031, p. 70-82.
  • Ezeife, C.I., Zhang, Dan. (2014). Mining Multiple Related Data Sources Using Object-oriented Model. Springer Verlag’s TLDKS (Large-Scale Data and Knowledge-Centered Systems)  XIII journal, LNCS 8420, pp. 1-29.
  • Ezeife, C.I. and Titas Mutsuddy, Towards Comparative Mining of Web Document Objects with NFA: WebOMiner System, in the IGI’s International Journal of Data Warehousing and Mining (IJDWM), 8(4), pp. 1-21, October-December 2012.
  • Mabroukeh, Nizar and C.I. Ezeife, A Taxonomy of Sequential Pattern Mining Algorithms, ACM Computing Surveys Journal(CSUR), ACM Computing Surveys, Vol. 43, No. 1, Article 3, pp 3:1 – 3:41, November 2010.
  •  Ezeife, C.I.  and  Yi  Liu, Fast Incremental Mining of Web Sequential Patterns with PLWAP Tree,  Data Mining and Knowledge Discovery  Journal (DAMI), Vol. 19, pp 376 – 418, Springer Verlag publishers, 2009.

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