Feature selection in unsupervised learning via evolutionary search. - YongSeog Kim; W. Nick Street; Filippo Menczer (KDD, 2000)

An evolutionary multi-objective local selection algorithm for customer targeting. - YongSeog Kim; W. Nick Street; Filippo Menczer (CEC, 2001)

A streaming ensemble algorithm (SEA) for large-scale classification. - W. Nick Street; YongSeog Kim (KDD, 2001)

Evolutionary model selection in unsupervised learning. - YongSeog Kim; W. Nick Street; Filippo Menczer (Intell. Data Anal., 2002)

An intelligent system for customer targeting: a data mining approach. - YongSeog Kim; W. Nick Street (Decis. Support Syst., 2004)

Customer Targeting: A Neural Network Approach Guided by Genetic Algorithms. - YongSeog Kim; William Nick Street; Gary J. Russell; Filippo Menczer (Manag. Sci., 2005)

A Case Study on the Applicability and Effectiveness of Scrum Software Development in Mission-Critical and Large-Scale Projects. - Juyun Cho; YongSeog Kim; David Olsen (AMCIS, 2006)

Toward a successful CRM: variable selection, sampling, and ensemble. - YongSeog Kim (Decis. Support Syst., 2006)

Optimal ensemble construction via meta-evolutionary ensembles. - YongSeog Kim; W. Nick Street; Filippo Menczer (Expert Syst. Appl., 2006)

Analyzing Scrum Agile Software Development with Development Process, Social Factor, and Project Management Lenses. - YongSeog Kim (AMCIS, 2007)

Weighted order-dependent clustering and visualization of web navigation patterns. - YongSeog Kim (Decis. Support Syst., 2007)

Simplified Use Case Driven Approach (SUCADA) for Conversion of Legacy System to COTS Package. - Jose D. Montero; YongSeog Kim; Jeff Johnson 003 (HICSS, 2008)

Streaming association rule (SAR) mining with a weighted order-dependent representation of Web navigation patterns. - YongSeog Kim (Expert Syst. Appl., 2009)

Boosting and measuring the performance of ensembles for a successful database marketing. - YongSeog Kim (Expert Syst. Appl., 2009)