@inproceedings{c114ade16acb42e68b703736c837765b,
title = "Attributes reduction based on GA-CFS method",
abstract = "The selection and evaluation task of attributes is of great importance for knowledge-based systems. It is also a critical factor affecting systems' performance. By using the genetic operator as the searching approach and correlation-based heuristic strategy as the evaluating mechanism, this paper presents a GA-CFS method to select the optimal subset of attributes from a given case library. Based on the above, the classification performance is evaluated by employing the combination method of C4.5 algorithm with k-fold cross validation. The comparative experimental results indicate that the proposed method is capable of identifying the most related subset for classification and prediction with reducing the representation space of the attributes dramatically whilst hardly decreasing the classification precision.",
keywords = "Attributes reduction, Correlation-based feature selection (CFS), Genetic algorithm (GA), k-fold cross validation",
author = "Zhiwei Ni and Fenggang Li and Shanling Yang and Xiao Liu and Weili Zhang and Qin Luo",
year = "2007",
doi = "10.1007/978-3-540-72524-4\_89",
language = "英语",
isbn = "9783540724834",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "868--875",
booktitle = "Advances in Data and Web Management - Joint 9th Asia-Pacific Web Conference, APWeb 2007 and 8th International Conference on Web-Age Information Management, WAIM 2007, Proceedings",
note = "Joint 9th Asia-Pacific Web Conference on Advances in Data and Web Management, APWeb 2007 and 8th International Conference on Web-Age Information Management, WAIM 2007 ; Conference date: 16-06-2007 Through 18-06-2007",
}