ANALYZING STUDENT PERFORMANCE IN DISTANCE LEARNING WITH GENETIC ALGORITHMS AND DECISION TREES

Author： Kalles Dimitris Pierrakeas Christos

ISSN： 1087-6545

Source： Applied Artificial Intelligence, Vol.20, Iss.8, 2006-09, pp. : 655-674

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

Noise-Tolerant Occam Algorithms and Their Applications to Learning Decision Trees

By Sakakibara Y.

Machine Learning, Vol. 11, Iss. 1, 1993-04 ,pp. : 37-62

Springer Publishing Company

Access to resources Recommend Favorite

Algorithms for optimal dyadic decision trees

By Hush Don

Machine Learning, Vol. 80, Iss. 1, 2010-07 ,pp. : 85-107

Springer Publishing Company

Access to resources Recommend Favorite

The hybrid of association rule algorithms and genetic algorithms for tree induction: an example of predicting the student course performance

By Hsu P.L. Lai R. Chiu C.C.

Expert Systems with Applications, Vol. 25, Iss. 1, 2003-07 ,pp. : 51-62

Elsevier

Access to resources Recommend Favorite

PERFORMANCE EVALUATION OF GENETIC ALGORITHMS AND EVOLUTIONARY PROGRAMMING IN OPTIMIZATION AND MACHINE LEARNING

By Abu-Zitar R. Al-Fahed Nuseirat A. M.

Cybernetics and Systems, Vol. 33, Iss. 3, 2002-04 ,pp. : 203-223

Taylor & Francis Ltd

Access to resources Recommend Favorite

Learning with Genetic Algorithms: An Overview

By de Jong K.

Machine Learning, Vol. 3, Iss. 2-3, 1988-10 ,pp. : 121-138

Springer Publishing Company

Access to resources Recommend Favorite