Time sequence similarity value acquisition method and system

A technology of time series and acquisition method, applied in the field of information processing, can solve the problems of intractable super-large matrix array, low operation efficiency, etc., and achieve the effect of improving operation efficiency

Active Publication Date: 2013-09-11
NAT UNIV OF DEFENSE TECH
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  • Description
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Problems solved by technology

[0004] The present invention provides a time series similarity value acquisition method and system to solve the problem of low operational efficiency due to the difficulty in processing very large matrix arrays with a single server in the prior art

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  • Time sequence similarity value acquisition method and system
  • Time sequence similarity value acquisition method and system

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Embodiment Construction

[0032] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0033] Embodiment 1 of the present invention discloses a method for obtaining time series similarity values, see figure 1 As shown, the method is applied to a time series set, wherein the time series set includes at least two time series, and the specific steps include:

[0034] Step S101: arbitrarily select a time series in the set of time series as the target time series;

[0035] Step S102: Divide the target time series to obtain at least two t...

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Abstract

The invention discloses time sequence similarity value acquisition method and system. The method and the system are both applied to a time sequence set. The time sequence set includes at least two time sequences, optional one time sequence is used as a target time sequence which is split to obtain at least two time subsequences, the time subsequences are distributed to different nodes in different server clusters respectively, other time sequences are not split and can be distributed to different nodes in the different server clusters, a bent path of each time subsequence and bent paths of other time sequences in the time sequence set are acquired respectively, the values of similarity of the target time sequence to the other time sequences in the time sequence set are determined according to the bent paths, and accordingly similarity values of the time sequences can be acquired simultaneously and concurrently. Therefore, operating efficiency is improved, and the method and the system are especially applicable to acquisition of similarity values of ultra-long time sequences.

Description

technical field [0001] The invention relates to the field of information processing, in particular to a method and system for acquiring time series similarity values. Background technique [0002] Time series is an important time series data, which widely exists in daily life, finance and scientific applications. It is very important to mine useful time series patterns. Numerical and continuity are important characteristics of time series data, which makes the study of similarity become one of the most fundamental problems of time series. With the rapid development of the Internet, the amount of Internet data generated by the Internet every day is getting larger and larger. How to analyze and mine massive data has always been a very important research topic in the field of Internet analysis. In the face of massive data, the similarity value Acquisition becomes more complex and time-consuming. [0003] Due to the need to analyze massive data, the length of the time series m...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F19/00
Inventor 杨树强尹洪赵辉陈志坤贾焰金松昌周斌韩伟红韩毅舒琦
Owner NAT UNIV OF DEFENSE TECH
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