共 50 条
- [1] Comparative Analysis of Decision Tree Algorithms: ID3, C4.5 and Random Forest [J]. COMPUTATIONAL INTELLIGENCE IN DATA MINING, VOL 1, 2015, 31 : 549 - 562
- [2] Comparative analysis of decision tree algorithms: Random forest and C4.5 for airlines customer satisfaction classification [J]. 4TH ANNUAL APPLIED SCIENCE AND ENGINEERING CONFERENCE, 2019, 2019, 1402
- [3] Mapping Informal Settlements Using WorldView-2 Imagery and C4.5 Decision Tree Classifier [J]. 2015 JOINT URBAN REMOTE SENSING EVENT (JURSE), 2015,
- [4] Prediction of Teachers' Lateness Factors Coming to School Using C4.5, Random Tree, Random Forest Algorithm [J]. PROCEEDINGS OF THE 2ND INTERNATIONAL CONFERENCE ON RESEARCH OF EDUCATIONAL ADMINISTRATION AND MANAGEMENT (ICREAM 2018), 2018, 258 : 161 - 166
- [5] Network Traffic Classification - A Comparative Study of Two Common Decision Tree Methods: C4.5 and Random Forest [J]. 2014 2ND INTERNATIONAL CONFERENCE ON ELECTRONIC DESIGN (ICED), 2014, : 210 - 214
- [7] Tuition Single Classification using Decision Tree Method and C4.5 [J]. 1ST INTERNATIONAL CONFERENCE ON ADVANCE AND SCIENTIFIC INNOVATION, 2019, 1175
- [8] Application of C4.5 decision tree for scholarship evaluations [J]. 10TH INTERNATIONAL CONFERENCE ON AMBIENT SYSTEMS, NETWORKS AND TECHNOLOGIES (ANT 2019) / THE 2ND INTERNATIONAL CONFERENCE ON EMERGING DATA AND INDUSTRY 4.0 (EDI40 2019) / AFFILIATED WORKSHOPS, 2019, 151 : 179 - 184
- [9] Very Fast C4.5 Decision Tree Algorithm [J]. APPLIED ARTIFICIAL INTELLIGENCE, 2018, 32 (02) : 119 - 137
- [10] A mapreduce implementation of C4.5 decision tree algorithm [J]. Ji, W. (jiweiit@163.com), 1600, Science and Engineering Research Support Society (07):