基于粗集和格机数据约简的原型系统

Abstract

Abstract: On the basis of the combination of the theory of the rough set with that of the lattice machine and the mechanisms of both the rough set and the lattice machine, data reduction was carried out. We have designed a prototype system for data miniing and verified the validity and the efficiency of algorithm making use of this system. The emulational tests show that this data mining prototype system can be applied to production practice extensively.

Key words: data mining, lattice machine, rough set, data reduction

CLC Number:

TP301

HAN Ying, WANG Yu-min, WANG Ming-wei. Prototype System Based on Rough Set and Lattice Machine Data Reduction[J].J4, 2003, 41(03): 334-338.

[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]	WANG Wenxia. Improved C45 Decision Tree Classification Algorithm in Data Mining [J]. Journal of Jilin University Science Edition, 2017, 55(05): 1274-1277.
[6]	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.
[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]	ZHANG Qiang, LV Wei. Application of Improved Rough Set Fuzzy Clustering Algorithm [J]. Journal of Jilin University Science Edition, 2015, 53(06): 1291-1294.
[10]	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.
[11]	CHENG Jinhui, ZHENG Shanhong, LI Wanlong, YUE Shaomin. Weight Determine Method for Comprehensive SimilarityCalculation about Concept of Ontology [J]. Journal of Jilin University Science Edition, 2014, 52(06): 1272-1276.
[12]	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.
[13]	QU Fu-Heng, Hu-Ya-Ting, Ma-Si-Liang, Guo-Shi-Long, Li-Heng-Yan. An Efficient and Robust Clustering Algorithm for Unsupervised Fuzzy c-Means [J]. J4, 2012, 50(06): 1179-1184.
[14]	JIANG Chao, WANG Hai-Yan, CHEN Lei, DAN Jing-Feng. A Novel Security Algorithm Based on BiologicalImmune Principles in Wireless Sensor Networks [J]. J4, 2012, 50(06): 1204-1208.
[15]	XU Chu-Tan, WANG Chao-Yong, SUN Yan-Feng. An Improved AntMiner Algorithm for Unbalanced Data [J]. J4, 2011, 49(04): 733-739.

Prototype System Based on Rough Set and Lattice Machine Data Reduction

Like

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Metrics

Comments

Recommended 10