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Journal of Applied Sciences >

2016 , Vol. 34 >Issue 4: 387 - 396

DOI: https://doi.org/10.3969/j.issn.0255-8297.2016.04.004

Signal and Information Processing

Marine Association Rule Mining Based on Events

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  • 1. Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China;
    2. College of Architecture and Urban Planning, Chongqing Jiaotong University, Chongqing 400074, China;
    3. Key Laboratory of the Earth Observation, Sanya 572029, Hainan Province, China

Received date: 2015-10-13

  Revised date: 2016-03-22

  Online published: 2016-07-30

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Abstract

An association rule mining algorithm is designed for anomalous oceanic events based on recursive "link-prune" of a priori algorithm. Concepts, definitions, rule expression and evaluation indicator related to events are introduced first. Based on a threshold of support and definition of event, event frequent 1-item set and designed an event-oriented link-prune algorithm is generated for frequent (k + 1)-item set from frequent k-item set. Marine events' strong association rule is then extracted based on events' strong association rule evaluation indicator. A case study on the association rule mining of Pacific marine abnormal events and association rule analysis on typical abnormal events are used to show correctness and feasibility of the proposed method.

Key words： association rule; the PacificOcean; marine abnormal event; event mining algorithm

Cite this article

LI Yi-long, LI Xiao-hong, XUE Cun-jin, LIN Xiao-song . Marine Association Rule Mining Based on Events[J]. Journal of Applied Sciences, 2016 , 34(4) : 387 -396 . DOI: 10.3969/j.issn.0255-8297.2016.04.004

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