research-article

Ensemble Prediction Algorithm of Anomaly Monitoring Based on Big Data Analysis Platform of Open-Pit Mine Slope

Authors:

Xuecai Xie Academic Editor:

Zhihan LvAuthors Info & Claims

Complexity, Volume 2018

https://doi.org/10.1155/2018/1048756

Published: 01 January 2018 Publication History

Abstract

With the diversification of pit mine slope monitoring and the development of new technologies such as multisource data flow monitoring, normal alert log processing system cannot fulfil the log analysis expectation at the scale of big data. In order to make up this disadvantage, this research will provide an ensemble prediction algorithm of anomalous system data based on time series and an evaluation system for the algorithm. This algorithm integrates multiple classifier prediction algorithms and proceeds classified forecast for data collected, which can optimize the accuracy in predicting the anomaly data in the system. The algorithm and evaluation system is tested by using the microseismic monitoring data of an open-pit mine slope over 6 months. Testing results illustrate prediction algorithm provided by this research can successfully integrate the advantage of multiple algorithms to increase the accuracy of prediction. In addition, the evaluation system greatly supports the algorithm, which enhances the stability of log analysis platform.

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cover image Complexity

Complexity Volume 2018, Issue

2018

9469 pages

ISSN:1076-2787

Issue’s Table of Contents

Copyright © 2018 Song Jiang et al.

This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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John Wiley & Sons, Inc.

United States

Publication History

Published: 01 January 2018

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Cited By

Zhou W(2022)Big Data-Driven Hierarchical Local Area Network Security Risk Event Prediction AlgorithmScientific Programming10.1155/2022/49603602022Online publication date: 1-Jan-2022
https://dl.acm.org/doi/10.1155/2022/4960360
Li WLi MMei YLi TWang F(2020)A Big Data Analytics Approach for Dynamic Feedback Warning for Complex SystemsComplexity10.1155/2020/76524962020Online publication date: 1-Jan-2020
https://dl.acm.org/doi/10.1155/2020/7652496
Fu HManogaran GWu KCao MJiang SYang A(2020)Intelligent decision-making of online shopping behavior based on internet of thingsInternational Journal of Information Management: The Journal for Information Professionals10.1016/j.ijinfomgt.2019.03.01050:C(515-525)Online publication date: 1-Feb-2020
https://dl.acm.org/doi/10.1016/j.ijinfomgt.2019.03.010

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