一种不均衡数据的改进蚁群分类算法

J4 ›› 2011, Vol. 49 ›› Issue (04): 733-739.

Previous Articles Next Articles

An Improved AntMiner Algorithm for Unbalanced Data

XU Shutan¹, WANG Chaoyong², SUN Yanfeng¹

1. College of Computer Science and Technology, Jilin University, Changchun 130012, China；2. School of Applied Science, Jilin Teachers Institute of Engineering and Technology, Changchun 130052, China

Received:2010-07-26 Online:2011-07-26 Published:2011-08-16
Contact: SUN Yanfeng E-mail:sunyf@jlu.edu.cn

Abstract

Abstract:

Based on the quality function and pruning method of ant colony mining algorithm (ACMA), an improved ant colony mining algorithm (IACMA)
was proposed and applied to unbalanced data classification. Three datasets from the typical benchmark database were used for the numerical experiment. The simulation results show that the IACMA can better process the minor categories, and improve the overall classification accuracy.

Key words: unbalanced data classification, AntMiner, ant colony mining algorithm, data mining, rule extraction

CLC Number:

TP18

XU Chu-Tan, WANG Chao-Yong, SUN Yan-Feng. An Improved AntMiner Algorithm for Unbalanced Data[J].J4, 2011, 49(04): 733-739.

[1]	JIN Xiaomin, ZHANG Liping. Multilevel k-Means Clustering Algorithm Based onMinimum Spanning Tree and Its Application in Data Mining#br# [J]. Journal of Jilin University Science Edition, 2018, 56(5): 1187-1192.
[2]	FENG Feng, ZHANG Longyao, ZHANG Qing. Description and Mining Method of Maximal Association RulesBased on Logical Formulas on Soft Sets [J]. Journal of Jilin University Science Edition, 2018, 56(4): 901-908.
[3]	KUANG Zhenchun, XIAN Yuanqing. Multidimensional Extended Greedy AlgorithmBased on XML Configuration Framework [J]. Journal of Jilin University Science Edition, 2018, 56(3): 688-691.
[4]	SHANG Jingbo, ZUO Wanli. A Novel Matching Clustering Algorithm Based onClear Rational Number Mean [J]. Journal of Jilin University Science Edition, 2018, 56(2): 399-401.
[5]	ZHOU Peng, XIONG Yunyu. Anomaly Detection of Network State Based on Data Mining [J]. Journal of Jilin University Science Edition, 2017, 55(05): 1269-1273.
[6]	WANG Wenxia. Improved C45 Decision Tree Classification Algorithm in Data Mining [J]. Journal of Jilin University Science Edition, 2017, 55(05): 1274-1277.
[7]	CAO Ying, MIAO Zhigang. Improved Apriori Algorithm Based on Vector Matrix Optimization Frequent Items [J]. Journal of Jilin University Science Edition, 2016, 54(02): 349-353.
[8]	SUN Jinling, PANG Juan. Application of Gray Neural Network Based onResidual Correction in Data Mining [J]. Journal of Jilin University Science Edition, 2015, 53(06): 1263-1268.
[9]	GUO Qibiao, LI Bingjian. Network Intrusion Detection Based on AkaikeInformation Criterion and BP Algorithm [J]. Journal of Jilin University Science Edition, 2015, 53(04): 715-719.
[10]	YU Xiaodi, Nurbol, HU Liang, XIE Nannan. An Intrusion Alert Correlation Model Based on Data Mining [J]. Journal of Jilin University Science Edition, 2013, 51(05): 881-886.
[11]	HU Liang, JIN Gang, YU Man, REN Fei, REN Weiwu. Techniques of IDS Based on Anomaly Detection [J]. J4, 2009, 47(6): 1264-1270.
[12]	DONG Li-Yan, LI Zhen, YAN Feng-Fei. Identification of Major Hazards Based on Bayesian Classifier [J]. J4, 2009, 47(4): 795-799.
[13]	ZHANG Qiang, LI Yongli, DONG Liyan, LI Wei, ZHANG Xiao hui. Outlier Testing Methods Based on Weighted Hypergraph [J]. J4, 2007, 45(04): 611-616.
[14]	LI Yongli,, REN Huiming, DONG Liyan, LI Wei, CHEN Siguo, ZHAO Yu. Outlier Testing Method Based on Pattern Clustering Algorithm [J]. J4, 2007, 45(03): 435-437.
[15]	LIU Guangyuan, YUAN Senmiao, DONG Liyan, LI Yongli. Customer Churn Analysis in Mobile Communication Based on Evolutionary Learning [J]. J4, 2007, 45(02): 256-258.

An Improved AntMiner Algorithm for Unbalanced Data

PDF (PC)

Like

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Metrics

Comments

Recommended 10