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Algorithm Research & Explore
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990-993,998

NLOF: two-stage outlier detection algorithm based on grid filtering

Wang Liying1,2
Shi Lei2,3
Yi Jing1,4
Song Tianxia1,2
1. School of Information Science & Engineering, Shandong Normal University, Jinan 250014, China
2. Shandong Key Laboratory of Distributed Computer Software, Jinan 250014, China
3. Shandong Education Admissions Examination Institute, Jinan 250014, China
4. School of Computer, Shandong Jianzhu University, Jinan 250014, China

Abstract

The existing outlier detection algorithm does not process the original data, resulting in too high computational time complexity and unsatisfactory detection results. This paper proposed a two-stage outlier detection algorithm NLOF based on grid filtering. First it used grid filtering to screen the original data initially, put data with a density less than a certain threshold into a candidate exception subset; then in order to further optimize the density-based algorithm, based on the k-neighborhood, according to the ratio of the number of data points in the neighborhood to the area of the circle formed by the neighborhood, as the basis for calculating the data point density, outlier detection obtained a more accurate outlier set. Experiments was carried out on a variety of public datasets. Experiments show that this method can achieve good performance in anomaly detection and reduce the time complexity of the algorithm.

Foundation Support

国家自然基金科学基金资助项目(61273148)
国家青年自然科学基金资助项目(61502151)
山东省社科规划项目(17CHLJ18,17CHLJ33,17CHLJ30)
山东省自然科学基金资助项目(ZR2014FL010)
山东省教育厅基金资助项目(J15LN34)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.09.0745
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 4
Section: Algorithm Research & Explore
Pages: 990-993,998
Serial Number: 1001-3695(2020)04-007-0990-04

Publish History

[2020-04-05] Printed Article

Cite This Article

王立英, 石磊, 伊静, 等. NLOF:基于网格过滤的两阶段离群点检测算法 [J]. 计算机应用研究, 2020, 37 (4): 990-993,998. (Wang Liying, Shi Lei, Yi Jing, et al. NLOF: two-stage outlier detection algorithm based on grid filtering [J]. Application Research of Computers, 2020, 37 (4): 990-993,998. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

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