New algorithm for attribute reduction

doi:10.3778/j.issn.1002-8331.2009.28.040

Computer Engineering and Applications ›› 2009, Vol. 45 ›› Issue (28): 133-136.DOI: 10.3778/j.issn.1002-8331.2009.28.040

• 数据库、信号与信息处理 • Previous Articles Next Articles

New algorithm for attribute reduction

HU Yu，BAI Lin-lin

School of Computer and Software，Taiyuan University of Technology，Taiyuan 030024，China

Received:2008-11-04 Revised:2009-03-26 Online:2009-10-01 Published:2009-10-01
Contact: HU Yu

快速的属性约简算法

胡彧，白琳林

太原理工大学计算机与软件学院，太原 030024

通讯作者: 胡彧

Abstract

Abstract: The efficiency of attribute reduction is a key issue in rough set and other soft computing theories.In order to enhance it，a new algorithm for computing core is proposed after analyzing the indiscernibility relation and radix sorting，and its time complexity is O（|C||U|）.Furthermore，a quick reduction algorithm which uses improved attribute significance as heuristic information is presented，the time complexity is O（|C|²|U|）.Finally，through some experiments on the data sets in UCI machine learning repository，the algorithm is proved more efficient and suitable for large data sets.

Key words: attribute reduction, positive region, core, rough set

摘要： 属性约简的效率是粗糙集等软计算理论的核心问题之一。为了提高约简效率，在分析不可分辨关系和基数排序特点的基础上，提出了一种时间复杂度为O（|C||U|）的求核算法。然后，运用改进的属性重要度作为启发信息，得到一种快速的属性约简算法，时间复杂度为O（|C|²|U|）。最后，通过UCI机器学习库中的一些数据集对算法进行测试，证明了算法对大型的数据集进行属性约简的高效性。

关键词: 属性约简, 正区域, 核, 粗糙集

CLC Number:

TP18

HU Yu，BAI Lin-lin. New algorithm for attribute reduction[J]. Computer Engineering and Applications, 2009, 45(28): 133-136.

胡彧，白琳林. 快速的属性约简算法[J]. 计算机工程与应用, 2009, 45(28): 133-136.

[1]	DAI Qi, LI Min, LIU Yang, LI Lihong. Fast Attribute Reduction Algorithm Based on Fuzzy Hierarchical Quotient Space [J]. Computer Engineering and Applications, 2021, 57(4): 55-60.
[2]	SHE Hailong, XIE Shanjuan, ZOU Jingjie. 3D-CNN with Standard Score Dimensionality Reduction for Hyperspectral Remote Sensing Images Classification [J]. Computer Engineering and Applications, 2021, 57(4): 169-175.
[3]	GAO Tianyu, WANG Qingrong, YANG Lei. Data Mining Model Based on Attribute Dependability Enhancement of Rough Set [J]. Computer Engineering and Applications, 2021, 57(3): 87-93.
[4]	WANG Qingrong, MA Chenkun. Forecast of Emergency Supplies for Case Consumption Reasoning [J]. Computer Engineering and Applications, 2021, 57(22): 281-287.
[5]	WAN Da, LI Jun. Fireworks Algorithm Based on Tournament Elite Learning and Covariance Mutation [J]. Computer Engineering and Applications, 2021, 57(19): 84-96.
[6]	ZHANG Chengling, LI Jinjin, LIN Yidong. Attribute Reduction in Formal Contexts Based on OE-Concept Lattices [J]. Computer Engineering and Applications, 2021, 57(15): 82-89.
[7]	LIU Yufeng, SUN Wenxin. Generalized Multi-granulation Quantization Soft Rough Set Model [J]. Computer Engineering and Applications, 2021, 57(12): 137-143.
[8]	LIU Guizhi. Incremental Attribute Reduction of Incomplete Hybrid Data Based on Dimension Change [J]. Computer Engineering and Applications, 2021, 57(12): 161-169.
[9]	ZHANG Dongmei, Mairidan Wushouer, Gulanbaier Tuerhong. One-Class Classification Method for High-Dimensional Mixed and Unbalanced Credit Score Data [J]. Computer Engineering and Applications, 2021, 57(10): 233-240.
[10]	YANG Jie, WU Suping. Parallel Algorithm for Point Cloud Reconstruction [J]. Computer Engineering and Applications, 2020, 56(6): 213-219.
[11]	ZHANG Bo, JIA Huayu, MA Jun. Estimation of Air Condition for Unmanned Aerial Vehicle Based on RS-GA Neural Network [J]. Computer Engineering and Applications, 2020, 56(4): 209-213.
[12]	ZHANG Wei, LIU Yuhong, ZHANG Rongfen. Design of IP Cores for CNN Convolutional Layer and Pooling Layer Capable of Time Division Multiplexing [J]. Computer Engineering and Applications, 2020, 56(24): 66-71.
[13]	MOU En, ZHANG Xianyong, YAO Yuesong, DENG Qie. Class-Specific Attribute Reduct and Its Heuristic Algorithm of Neighborhood Approximation Condition-Entropy [J]. Computer Engineering and Applications, 2020, 56(24): 175-180.
[14]	ZHANG Jianhua, LI Fangfang, YANG Lan. Research on Matching Supply and Demand of Case Knowledge Based on PFS and RS [J]. Computer Engineering and Applications, 2020, 56(23): 139-145.
[15]	HAN Dongxu, ZHONG Baojiang. Image Quality Assessment System Based on MOS [J]. Computer Engineering and Applications, 2020, 56(22): 191-198.

New algorithm for attribute reduction

快速的属性约简算法

PDF

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics