IHF: Industrial High Frequency Operation Queue Discovery Algorithm

Yuntong Guan; Guodong Xin; Yuliang Wei; Wei Wang; Bailing Wang

doi:10.1109/AEECA49918.2020.9213685

IHF: Industrial High Frequency Operation Queue Discovery Algorithm

Yuntong Guan
, Guodong Xin
, Yuliang Wei
, Wei Wang
, Bailing Wang^*

^*Corresponding author for this work

School of Computer Science and Technology, Harbin Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

When using traditional PrefixSpan algorithm to complete industrial Internet high-frequency operation sequence mining tasks, there are problems such as low efficiency and disordered output results. Based on the PrefixSpan algorithm, we propose an IHF algorithm (Industrial High Frequency operation queue discovery algorithm) suitable for mining high-frequency operation sequences of the Industrial Internet. The algorithm reduces the scanning operation of the database by measuring the sequence length in the system, and reduces the generation of candidate sequences by constraining the sequence projection. The accuracy and performance of the IMF algorithm are verified through experiments.

Original language	English
Title of host publication	Proceedings of 2020 IEEE International Conference on Advances in Electrical Engineering and Computer Applications, AEECA 2020
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	470-474
Number of pages	5
ISBN (Electronic)	9781728165202
DOIs	https://doi.org/10.1109/AEECA49918.2020.9213685
State	Published - Aug 2020
Externally published	Yes
Event	2020 IEEE International Conference on Advances in Electrical Engineering and Computer Applications, AEECA 2020 - Dalian, China Duration: 25 Aug 2020 → 27 Aug 2020

Publication series

Name	Proceedings of 2020 IEEE International Conference on Advances in Electrical Engineering and Computer Applications, AEECA 2020

Conference

Conference	2020 IEEE International Conference on Advances in Electrical Engineering and Computer Applications, AEECA 2020
Country/Territory	China
City	Dalian
Period	25/08/20 → 27/08/20

Keywords

PrefixSpan algorithm
industrial Internet anomaly detection
operation log mining
sequence mode
support count algorithm

Access to Document

10.1109/AEECA49918.2020.9213685

Cite this

Guan, Y., Xin, G., Wei, Y., Wang, W., & Wang, B. (2020). IHF: Industrial High Frequency Operation Queue Discovery Algorithm. In Proceedings of 2020 IEEE International Conference on Advances in Electrical Engineering and Computer Applications, AEECA 2020 (pp. 470-474). Article 9213685 (Proceedings of 2020 IEEE International Conference on Advances in Electrical Engineering and Computer Applications, AEECA 2020). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/AEECA49918.2020.9213685

Guan, Yuntong ; Xin, Guodong ; Wei, Yuliang et al. / IHF : Industrial High Frequency Operation Queue Discovery Algorithm. Proceedings of 2020 IEEE International Conference on Advances in Electrical Engineering and Computer Applications, AEECA 2020. Institute of Electrical and Electronics Engineers Inc., 2020. pp. 470-474 (Proceedings of 2020 IEEE International Conference on Advances in Electrical Engineering and Computer Applications, AEECA 2020).

@inproceedings{98d6a63aa774406795d4f1c6f001b3c5,

title = "IHF: Industrial High Frequency Operation Queue Discovery Algorithm",

abstract = "When using traditional PrefixSpan algorithm to complete industrial Internet high-frequency operation sequence mining tasks, there are problems such as low efficiency and disordered output results. Based on the PrefixSpan algorithm, we propose an IHF algorithm (Industrial High Frequency operation queue discovery algorithm) suitable for mining high-frequency operation sequences of the Industrial Internet. The algorithm reduces the scanning operation of the database by measuring the sequence length in the system, and reduces the generation of candidate sequences by constraining the sequence projection. The accuracy and performance of the IMF algorithm are verified through experiments.",

keywords = "PrefixSpan algorithm, industrial Internet anomaly detection, operation log mining, sequence mode, support count algorithm",

author = "Yuntong Guan and Guodong Xin and Yuliang Wei and Wei Wang and Bailing Wang",

note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 2020 IEEE International Conference on Advances in Electrical Engineering and Computer Applications, AEECA 2020 ; Conference date: 25-08-2020 Through 27-08-2020",

year = "2020",

month = aug,

doi = "10.1109/AEECA49918.2020.9213685",

language = "英语",

series = "Proceedings of 2020 IEEE International Conference on Advances in Electrical Engineering and Computer Applications, AEECA 2020",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "470--474",

booktitle = "Proceedings of 2020 IEEE International Conference on Advances in Electrical Engineering and Computer Applications, AEECA 2020",

address = "美国",

}

Guan, Y, Xin, G , Wei, Y , Wang, W & Wang, B 2020, IHF: Industrial High Frequency Operation Queue Discovery Algorithm. in Proceedings of 2020 IEEE International Conference on Advances in Electrical Engineering and Computer Applications, AEECA 2020., 9213685, Proceedings of 2020 IEEE International Conference on Advances in Electrical Engineering and Computer Applications, AEECA 2020, Institute of Electrical and Electronics Engineers Inc., pp. 470-474, 2020 IEEE International Conference on Advances in Electrical Engineering and Computer Applications, AEECA 2020, Dalian, China, 25/08/20. https://doi.org/10.1109/AEECA49918.2020.9213685

IHF: Industrial High Frequency Operation Queue Discovery Algorithm. / Guan, Yuntong; Xin, Guodong ; Wei, Yuliang et al.
Proceedings of 2020 IEEE International Conference on Advances in Electrical Engineering and Computer Applications, AEECA 2020. Institute of Electrical and Electronics Engineers Inc., 2020. p. 470-474 9213685 (Proceedings of 2020 IEEE International Conference on Advances in Electrical Engineering and Computer Applications, AEECA 2020).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - IHF

T2 - 2020 IEEE International Conference on Advances in Electrical Engineering and Computer Applications, AEECA 2020

AU - Guan, Yuntong

AU - Xin, Guodong

AU - Wei, Yuliang

AU - Wang, Wei

AU - Wang, Bailing

PY - 2020/8

Y1 - 2020/8

N2 - When using traditional PrefixSpan algorithm to complete industrial Internet high-frequency operation sequence mining tasks, there are problems such as low efficiency and disordered output results. Based on the PrefixSpan algorithm, we propose an IHF algorithm (Industrial High Frequency operation queue discovery algorithm) suitable for mining high-frequency operation sequences of the Industrial Internet. The algorithm reduces the scanning operation of the database by measuring the sequence length in the system, and reduces the generation of candidate sequences by constraining the sequence projection. The accuracy and performance of the IMF algorithm are verified through experiments.

AB - When using traditional PrefixSpan algorithm to complete industrial Internet high-frequency operation sequence mining tasks, there are problems such as low efficiency and disordered output results. Based on the PrefixSpan algorithm, we propose an IHF algorithm (Industrial High Frequency operation queue discovery algorithm) suitable for mining high-frequency operation sequences of the Industrial Internet. The algorithm reduces the scanning operation of the database by measuring the sequence length in the system, and reduces the generation of candidate sequences by constraining the sequence projection. The accuracy and performance of the IMF algorithm are verified through experiments.

KW - PrefixSpan algorithm

KW - industrial Internet anomaly detection

KW - operation log mining

KW - sequence mode

KW - support count algorithm

UR - https://www.scopus.com/pages/publications/85094668188

U2 - 10.1109/AEECA49918.2020.9213685

DO - 10.1109/AEECA49918.2020.9213685

M3 - 会议稿件

AN - SCOPUS:85094668188

T3 - Proceedings of 2020 IEEE International Conference on Advances in Electrical Engineering and Computer Applications, AEECA 2020

SP - 470

EP - 474

BT - Proceedings of 2020 IEEE International Conference on Advances in Electrical Engineering and Computer Applications, AEECA 2020

PB - Institute of Electrical and Electronics Engineers Inc.

Y2 - 25 August 2020 through 27 August 2020

ER -

Guan Y, Xin G , Wei Y , Wang W , Wang B. IHF: Industrial High Frequency Operation Queue Discovery Algorithm. In Proceedings of 2020 IEEE International Conference on Advances in Electrical Engineering and Computer Applications, AEECA 2020. Institute of Electrical and Electronics Engineers Inc. 2020. p. 470-474. 9213685. (Proceedings of 2020 IEEE International Conference on Advances in Electrical Engineering and Computer Applications, AEECA 2020). doi: 10.1109/AEECA49918.2020.9213685

IHF: Industrial High Frequency Operation Queue Discovery Algorithm

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Keywords

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