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Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 37, 2020 No. 12
3545-3551

Graph pattern mining probability algorithm for big data

Jiang Lili1
Li Yefei1
Dou Longlong1
Chen Zhiqi2
Qian Zhuzhong2
1. Jiangsu Frontier Electric Technology Co. Ltd. , Nanjing 210000, China
2. Dept. of Computer Science & Technology, Nanjing University, Nanjing 210023, China
DOI: 10.19734/j.issn.1001-3695.2019.09.0539

Abstract

In today's big data era, big data processing frameworks such as MapReduce often appear slow and inefficient when processing data, specially related to graphs. Therefore, it is necessary to explore an efficient algorithm to handle this type of clique counting problem. Since the predecessor literatures have thoroughly explored the 3-clique counting, the extended version of the problem(the 4-clique counting problem) improves its position gradually. Under the guidance of a heuristic idea, this paper proposed a probability sampling algorithm based on neighboring edge sampling to solve the extended problem. With the usage of Chernoff inequality, the algorithm only needed a certain number of samplers as the performance guarantee of relative error under the approximate condition. Later, the experimental evaluation and comparison shows that the probability sampling algorithm loses a small amount of precision compared with the traditional precision algorithm, but it has great advantages in algorithm running time and space occupation. Finally, it comes to the conclusion that it has great practical value in practical applications.

Foundation Support

国家自然科学基金面上项目(61872175)
江苏省自然科学基金面上项目(BK20181252)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2019.09.0539
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 12
Section: Algorithm Research & Explore
Pages: 3545-3551
Serial Number: 1001-3695(2020)12-004-3545-07

Publish History

[2020-12-05] Printed Article

Cite This Article

姜丽丽, 李叶飞, 豆龙龙, 等. 面向大数据的图模式挖掘概率算法 [J]. 计算机应用研究, 2020, 37 (12): 3545-3551. (Jiang Lili, Li Yefei, Dou Longlong, et al. Graph pattern mining probability algorithm for big data [J]. Application Research of Computers, 2020, 37 (12): 3545-3551. )

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.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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