J.M. Quitdan, C4.5: Programs for Machine Learning. San Mateo, Calif.: Morgan Kaufmann, 1993. Home/Search Document Not in Database Summary Related Articles Check |
This paper is cited in the following contexts:
A Modified Chi2 Algorithm for Discretization - Tay, Shen (2002) (Correct)
....consistency equal to 1 except that page blocks data set is 0.9916. In the following experiments, C4.5 (Release 8) 12] was chosen to be the benchmark for evaluating and comparing the performance of the modified Chi2 algorithm and original Chi2 algorithm. The reasons for our choice were that C4.5 [13] worked well for many decision making problems and it was a well known method, thus requiring no further descriptions. C4.5 was selected as the benchmark to evaluate the original Chi2 algorithm in [6] and has shown that the Chi2 algorithm was an effective discretization method. To compare the ....
J.M. Quitdan, C4.5: Programs for Machine Learning. San Mateo, Calif.: Morgan Kaufmann, 1993.
Mining Typhoon Knowledge with Neural Networks - Zhou, Chen, Chen (1999) (Correct)
....to train a FTART network and extract 437 rules via SPT. Then, an experienced senior nephogram analyst helps us to evaluate those rules. After he deletes the rules that he thinks ofhackneyed, we get the final rule set that depicted in Table 1. In order to verify our method, we also apply C4.5 [5] to this task. From the same database, C4.5 generates 812 rules, among which 4 are novel. Although expressed in different forms, rule 1, 3, 4, 5 in Table 1 are discovered. However, rule 2 is neglected. We think the reason is twosided. First, neural networks have better generality than decision ....
Quitdan J R, C4.5: Programs for Machine Learning, Morgan Kaufmann, 1993.
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