Big data-based emergency event evolution reasoning method and system

A technology for emergencies and reasoning methods, which is applied in electrical digital data processing, special data processing applications, data mining, etc.

Active Publication Date: 2017-04-26
CHINA NATIONAL SCHOOL OF ADMINISTRATION +1
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AI Technical Summary

Problems solved by technology

[0003] With the occurrence of unconventional emergencies more and more frequently, however, most of the current emergency early warning and prediction methods start from the macro information of emergency cases (such as event type, resource type, etc.), using CBR and rule-based reasoning (Rule-Based Reason

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  • Big data-based emergency event evolution reasoning method and system
  • Big data-based emergency event evolution reasoning method and system
  • Big data-based emergency event evolution reasoning method and system

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Embodiment Construction

[0020] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention. In addition, the technical features involved in the various embodiments of the present invention described below can be combined with each other as long as they do not constitute a conflict with each other.

[0021] figure 1 It is a schematic flow chart of a big data-based emergency evolution reasoning method disclosed in the embodiment of the present invention. figure 1 The shown method specifically includes the following steps:

[0022] (1) Obtain all the cases in the default case library, traverse the sub-events of each case, and form the sub-event chain of each case according to the order of oc...

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Abstract

The invention discloses a big data-based emergency event evolution reasoning method and system. The method comprises the steps of integrating cases in a database to obtain a sub-event chain set; taking the sub-event chain set as an input of an algorithm; obtaining weak and strong rule item sets through the algorithm; obtaining the strong rule item set from sets higher than the support degree, and obtaining the weak rule item set from sets lower than or equal to the support degree, wherein the strong rule item set serves as a conventional emergency event evolution possible path, and the weak rule item set serves as a non-conventional emergency event evolution possible path; and by taking the weak and strong rule item sets as reasoning bases, mining a subsequent sub-event set with a maximum occurrence probability and a subsequent sub-event set with an extremely small occurrence probability from the case database. Therefore, the deduction that an Apriori algorithm only aims at the strong rule item set can be improved, and the weak and strong rule item sets in a calculation process are distinguished and both reserved as target data.

Description

technical field [0001] The invention belongs to the technical field of data mining, and more specifically, relates to a big data-based emergency evolution reasoning method and system. Background technique [0002] Data mining is also known as knowledge discovery in databases. The purpose of data mining is to abstract knowledge of interest from large databases. From the analysis of the abstract pattern, the decision-making process can be easily completed. Association rules are mainly based on the discovery of frequent itemsets. Retail stores often use association rules to assist marketing, advertising, inventory control, and predict failures in telecommunications networks. Among them, the association rule algorithm Apriori algorithm is mainly used. Apriori algorithm is a mining association The core idea of ​​regular frequent itemsets algorithm is to mine frequent itemsets through two stages of candidate set generation and downward closure detection of episodes. [0003] Wit...

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Application Information

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IPC IPC(8): G06F17/30
CPCG06F16/24564G06F2216/03
Inventor 佘廉陈曦贾传亮李慧嘉钟开斌郑琛秦子健
Owner CHINA NATIONAL SCHOOL OF ADMINISTRATION
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