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Mining method for asynchronous periodic pattern in hydrologic time series

A hydrological time series and pattern mining technology, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve problems such as reports that have not been applied in the field of hydrology, and achieve the effect of avoiding cycle omission or waste of time and space

Active Publication Date: 2012-06-13
HOHAI UNIV
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Problems solved by technology

[0009] At present, some scholars in China have carried out research on the partial cycle mining of traffic flow and IC card surplus and deficiency (Surpus and deficiency) time series, but there is no report on the application in the field of hydrology.

Method used

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  • Mining method for asynchronous periodic pattern in hydrologic time series
  • Mining method for asynchronous periodic pattern in hydrologic time series
  • Mining method for asynchronous periodic pattern in hydrologic time series

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Embodiment Construction

[0028] The technical scheme of the present invention is described in detail below in conjunction with accompanying drawing:

[0029] In order to facilitate the public to understand the technical solutions of the present invention more clearly, the concepts and definitions related to the present invention will be briefly described below.

[0030] Definition 1 (Event Sequence) Given a set E of event types, an event is a set (a, t), where a ∈ E is an event type and t ∈ R is the time at which the event occurs. Event sequence S=1 , t 1 ), (a 2 , t 2 ),..., (a n , t n )> is an ordered set of events, where a i ∈E(i=1,2,...,n) is the event type of the i-th event, and t j ≤t i (1≤j≤i≤n).

[0031] An event sequence is a time series of events that occur at equal time intervals. A single-event sequence is one in which only one event occurs at a point in time. A multi-event sequence is a sequence of events in which more than one event occurs at some or all points in time.

[003...

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Abstract

The invention discloses a mining method for an asynchronous periodic pattern in a hydrologic time series. The mining method comprises the following steps of: firstly improving a partial periodic pattern mining algorithm based on a suffix tree so that the improved periodic pattern mining algorithm supports a multi-even series, thereby obtaining a candidate periodic pattern; and in an effective section generating process, putting forward an effective section generating algorithm which can be used for adjusting a candidate period in a self-adaptation manner, thereby avoiding period omission or space-time waste caused by a unified period. Compared with the prior art, the mining method provided by the invention can be used for more effectively finding the synchronous periodic pattern in the hydrologic time series.

Description

technical field [0001] The invention relates to a method for mining periodic patterns of time series, in particular to an asynchronous periodic pattern mining method for hydrological time series. Background technique [0002] Hydrological time series refers to a series of observations with time as the independent variable obtained by observing hydrological variables such as water level, flow, flow velocity, and sediment concentration in rivers, lakes, and seas. The periodic analysis of hydrological time series is to discover the periodicity of hydrological variables from a large amount of historical hydrological data, help predict the periodicity of hydrological variables in the future year or month, take precautions, and better protect the safety of people's lives and property. The periodicity of hydrological variables is of great significance to the prediction of drought and flood trends and the planning and design of water conservancy projects. [0003] In the field of h...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
Inventor 朱跃龙包妮娜李士进冯钧万定生高祥涛柏屏
Owner HOHAI UNIV
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