一种基于事件的海洋关联规则挖掘方法

doi:10.3969/j.issn.0255-8297.2016.04.004

Abstract

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

CLC Number:

TP79

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.

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Marine Association Rule Mining Based on Events

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