Maria-Luiza Antonie

Proceedings of the Advances in Artificial Intelligence, 2019

2018

Standardizing interestingness measures for association rules.

[BibT_eX]

[DOI]

Mateen Shaikh

Paul D. McNicholas

Thomas Brendan Murphy

Stat. Anal. Data Min., 2018

Gender Wage Gap in the University Sector: A Case Study of All Universities in Ontario, Canada.

[BibT_eX]

[DOI]

Proceedings of the Social Informatics, 2018

Bias Evaluation of Professors' Reviews.

[BibT_eX]

[DOI]

Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018

2017

Automatic Household Identification for Historical Census Data.

[BibT_eX]

[DOI]

Proceedings of the Advances in Artificial Intelligence, 2017

2016

Redundancy reduction: does it help associative classifiers?

[BibT_eX]

[DOI]

Robert C. Holte

Proceedings of the 31st Annual ACM Symposium on Applied Computing, 2016

Historical Data Integration a Study of WWI Canadian Soldiers.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining Workshops, 2016

2015

Analyzing the Gender Wage Gap in Ontario's Public Sector.

[BibT_eX]

[DOI]

Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015

Dancing with Dirty Data: Problems in the Extraction of Life-Course Evidence from Historical Censuses.

[BibT_eX]

[DOI]

Kris Inwood

J. Andrew Ross

Proceedings of the Population Reconstruction, 2015

2014

Tracking people over time in 19th century Canada for longitudinal analysis.

[BibT_eX]

[DOI]

Mach. Learn., 2014

Comparing Classifiers in Historical Census Linkage.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE International Conference on Data Mining Workshops, 2014

Negative Association Rules.

[BibT_eX]

[DOI]

Jundong Li

Proceedings of the Frequent Pattern Mining, 2014

2011

Classifying microarray data with association rules.

[BibT_eX]

[DOI]

Kyrylo Bessonov

Proceedings of the 2011 ACM Symposium on Applied Computing (SAC), TaiChung, Taiwan, March 21, 2011

2007

Feature Space Enrichment by Incorporation of Implicit Features for Effective Classification.

[BibT_eX]

[DOI]

Abhishek Srivastava

Proceedings of the Eleventh International Database Engineering and Applications Symposium (IDEAS 2007), 2007

2006

Learning to Use a Learned Model: A Two-Stage Approach to Classification.

[BibT_eX]

[DOI]

Robert C. Holte

Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

2005

Considering Re-occurring Features in Associative Classifiers.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2005

On Pruning and Tuning Rules for Associative Classifiers.

[BibT_eX]

[DOI]

Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2005

2004

Mining Positive and Negative Association Rules: An Approach for Confined Rules.

[BibT_eX]

[DOI]

Proceedings of the Knowledge Discovery in Databases: PKDD 2004, 2004

An associative classifier based on positive and negative rules.

[BibT_eX]

[DOI]

Proceedings of the 9th ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery, 2004

2002

Mammography Classification By an Association Rule-based Classifier.

[BibT_eX]

Alexandru Coman

Proceedings of the Third International Workshop on Multimedia Data Mining, 2002

Associative Classifiers for Medical Images.

[BibT_eX]

[DOI]

Alexandru Coman

Proceedings of the Mining Multimedia and Complex Data, 2002

Text Document Categorization by Term Association.

[BibT_eX]

[DOI]

Proceedings of the 2002 IEEE International Conference on Data Mining (ICDM 2002), 2002

Classifying Text Documents by Associating Terms With Text Categories.

[BibT_eX]

[DOI]

Proceedings of the Database Technologies 2002, 2002

2001

Application of Data Mining Techniques for Medical Image Classification.

[BibT_eX]