Improved C4.5 Algorithm for the Analysis of Sales

被引：4

作者：

Cao, Rong ^{[1
]}

Xu, Lizhen ^{[1
]}

机构：

[1] Southeast Univ, Sch Engn & Comp Sci, Nanjing 211189, Peoples R China

来源：

2009 SIXTH WEB INFORMATION SYSTEMS AND APPLICATIONS CONFERENCE, PROCEEDINGS | 2009年

关键词：

decision tree; algorithm C4.5; the rate of information gain; large data sets;

D O I：

10.1109/WISA.2009.36

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

A decision tree is an important means of data mining and inductive learning, which is usually used to form classifiers and prediction models. C4.5 is one of the most classic classification algorithms on data mining, but when it is used in mass calculations, the efficiency is very low. In this paper, the rule of C4.5 is improved by the use of L'Hospital Rule, which simplifies the calculation process and improves the efficiency of decision-making algorithm. When calculating the rate of information gain, the similar principle is used, which improves the algorithm a lot. And the application at the end of the paper shows that the improved algorithm is efficient, which is more suitable for the application of large amounts of data, and its efficiency has been greatly improved in line with the practical application.

引用

页码：173 / 176

页数：4

共 50 条

[21] Application of C4.5 Algorithm in Evaluation of Railway Large Maintenance Machinery Construction
Zhu, Weiqiao
Shi, Tianyun
FRONTIERS OF MANUFACTURING AND DESIGN SCIENCE IV, PTS 1-5, 2014, 496-500 : 1770 - 1773
[22] Optimizing the C4.5 Decision Tree Algorithm using MSD-Splitting
Rim, Patrick
Liu, Erin
INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS, 2020, 11 (10) : 41 - 47
[23] Implementation of C4.5 Algorithm to Determine Hospital Readmission Rate of Diabetes Patient
Tamin, Felix
Iswari, Ni Made Satvika
PROCEEDINGS OF 2017 4TH INTERNATIONAL CONFERENCE ON NEW MEDIA STUDIES (CONMEDIA 2017), 2017, : 15 - 18
[24] Classifying Sybil in MSNs using C4.5
Chinchore, Anand
Xu, Guandong
Jiang, Frank
2016 INTERNATIONAL CONFERENCE ON BEHAVIORAL, ECONOMIC AND SOCIO-CULTURAL COMPUTING (BESC), 2016, : 145 - 150
[25] Parameter determination and feature selection for C4.5 algorithm using scatter search approach
Shih-Wei Lin
Shih-Chieh Chen
Soft Computing, 2012, 16 : 63 - 75
[26] Parameter determination and feature selection for C4.5 algorithm using scatter search approach
Lin, Shih-Wei
Chen, Shih-Chieh
SOFT COMPUTING, 2012, 16 (01) : 63 - 75
[27] CHARACTERISATION OF BUILDING ALIGNMENTS WITH NEW MEASURES USING C4.5 DECISION TREE ALGORITHM
Cetinkaya, Sinan
Basaraner, Melih
GEODETSKI VESTNIK, 2014, 58 (03) : 552 - 567
[28] Interpretation of Clinical Data Based on C4.5 Algorithm for the Diagnosis of Coronary Heart Disease
Wiharto, Wiharto
Kusnanto, Hari
Herianto, Herianto
HEALTHCARE INFORMATICS RESEARCH, 2016, 22 (03) : 186 - 195
[29] C4.5 Decision Tree Machine Learning Algorithm Based GIS Route Identification
Dalela, Pankaj Kumar
Bansal, Prashant
Yadav, Arun
Majumdar, Sabyasachi
Yadav, Anurag
Tyagi, Vipin
2018 TENTH INTERNATIONAL CONFERENCE ON UBIQUITOUS AND FUTURE NETWORKS (ICUFN 2018), 2018, : 213 - 218
[30] The Application of Decision Tree C4.5 Algorithm to Soil Quality Grade Forecasting Model
Li Dongming
Li Yan
Yuan Chao
Li Chaoran
Liu Huan
Zhang Lijuan
2016 FIRST IEEE INTERNATIONAL CONFERENCE ON COMPUTER COMMUNICATION AND THE INTERNET (ICCCI 2016), 2016, : 552 - 555

← 1 2 3 4 5 →