Publications & Research

Advancing machine learning, data mining, and artificial intelligence through rigorous academic research and practical applications.

PhD Computer Science University of Regina, 2013
8 Publications International Conferences
Best Paper Award INTENSIVE Conference 2012
Mondelle Simeon presenting at keynote conference

Doctoral Research

PhD Dissertation 2013

Discovering Group Differences from Qualitative and Quantitative Attributes using Contrast Set Mining with Discretization and Measures of Interestingness

Institution: University of Regina, Department of Computer Science
Supervisors: Dr. Robert J. Hilderman, Dr. Howard J. Hamilton

Developed novel methodologies for discovering statistically significant group differences in complex datasets through contrast set mining. Introduced discretization techniques and interestingness measures that advance pattern discovery in data mining applications. This research laid the foundation for identifying correlated group differences and enabling more sophisticated analytical approaches in machine learning.

Research Impact

  • Founded basis for 8 peer-reviewed publications
  • Awarded Best Paper at international conference
  • Applied in real-world price validation systems (90%+ accuracy)
  • Influenced feature selection methods for text categorization

Conference Publications

Peer-reviewed research in machine learning, data mining, and artificial intelligence

2012

Mining Interesting Correlated Contrast Sets

Mondelle Simeon, Robert J. Hilderman, Howard J. Hamilton
32nd SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence (SGAI 2012)
Cambridge, England, UK · Pages 49-62

Novel approach to identifying correlated contrast sets in large datasets, advancing the field's understanding of group difference discovery and pattern analysis in complex data structures.

2011

GENCCS: A Correlated Group Difference Approach to Contrast Set Mining

M. Simeon, R.J. Hilderman
Machine Learning and Data Mining in Pattern Recognition (MLDM)
New York, NY, USA · Pages 140-154

GENCCS algorithm for discovering correlated group differences, enabling sophisticated pattern analysis in data mining.

2011

COSINE: A Vertical Group Difference Approach to Contrast Set Mining

M. Simeon, R.J. Hilderman
24th Canadian Conference on Artificial Intelligence
St. John's, Canada · Pages 359-371

Vertical group difference approach improving efficiency of contrast set mining in large-scale data analysis.

2009

An Empirical Study of Category Skew on Feature Selection for Text Categorization

M. Simeon, R.J. Hilderman
22nd Canadian Conference on Artificial Intelligence
Kelowna, Canada · Pages 249-252

Investigation of category distribution imbalance impact on feature selection methods for text classification.

2008

Categorical Proportional Difference: A Feature Selection Method for Text Categorization

M. Simeon, R.J. Hilderman
7th Australasian Data Mining Conference (AusDM)
Adelaide, Australia · Pages 201-208

Categorical Proportional Difference (CPD) metric demonstrating improved classification accuracy for text categorization.

2007

Exploratory Quantitative Contrast Set Mining: A Discretization Approach

M. Simeon, R.J. Hilderman
19th IEEE International Conference on Tools with Artificial Intelligence (ICTAI)
Patras, Greece · Pages 124-131

Discretization-based approach to exploratory contrast set mining for quantitative pattern discovery in diverse datasets.

Academic Honors & Recognition

2014

Industrial Research & Development Fellowship

National Science and Engineering Research Council (NSERC)

National award valued at $30,000 annually for 2 years, recognizing excellence in PhD research and encouraging careers in the Canadian private sector. Competitive fellowship awarded to outstanding doctoral graduates pursuing industry applications of their research.

2013

President's Distinguished Graduate Student Award Nominee

University of Regina, Department of Computer Science

Nominated for Spring 2013 President's Distinguished Graduate Student Award recognizing outstanding academic performance and research contributions in graduate studies.

2012

Best Paper Award

Fourth International Conference on Resource Intensive Applications and Services (INTENSIVE 2012)

Best Paper award for "Mining Interesting Contrast Sets" recognizing pioneering contributions to contrast set mining and data analysis methodologies. Conference held in St. Maarten, The Netherlands Antilles, March 25-29, 2012. Highlighted research impact and innovative approach to resource-intensive applications.

2010-2012

Faculty of Graduate Studies Dean's Scholarship

University of Regina

Graduate Student Award recognizing outstanding academic performance throughout doctoral program. Multi-year scholarship for excellence in graduate studies and research.

Conference Speaking & Presentations

Presented research at 8 international conferences across 5 countries

8 International Conferences
5 Countries
10+ Years Active Research

Conference Venues

  • Canada: Multiple Canadian AI Conferences (St. John's, Kelowna)
  • The Netherlands Antilles: St. Maarten (INTENSIVE Conference - Best Paper)
  • United States: New York (MLDM Conference)
  • Greece: Patras (IEEE ICTAI Conference)
  • Australia: Adelaide (Australasian Data Mining Conference)
Mondelle Simeon delivering keynote presentation

Presenting at international technology conference

Academic Profiles

Complete academic history and citations available on:

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