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System and method for multidimensional timing sequence data analysis

A time-series data, multi-dimensional technology, applied in the field of data analysis, can solve the problem that the dimensionality reduction search method cannot guarantee to find the simultaneous occurrence of multi-dimensional time-series data, and does not consider the correlation, etc.

Active Publication Date: 2016-07-20
NEC CORP
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AI Technical Summary

Problems solved by technology

Although precise search can find all events in multidimensional time series data, this method does not consider the possible correlation between events of different dimensions
On the other hand, dimensionality reduction search methods cannot guarantee to find all simultaneous events in multidimensional time series data

Method used

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  • System and method for multidimensional timing sequence data analysis
  • System and method for multidimensional timing sequence data analysis
  • System and method for multidimensional timing sequence data analysis

Examples

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Embodiment 1

[0050] figure 1 is a block diagram illustrating a system for discovering multidimensional events from multidimensional time series data according to an embodiment of the present invention. Such as figure 1 As shown, the system 10 includes a one-dimensional event discovery unit 110 and a multi-dimensional event discovery unit 120 . Wherein, the multi-dimensional event discovery unit 120 includes a co-occurrence matrix calculation unit 130 , a time sequence matrix calculation unit 140 and a co-occurrence event discovery unit 150 .

[0051] The one-dimensional event discovery unit 110 divides the multi-dimensional time-series data into multiple individual one-dimensional time-series data, and discovers one-dimensional events from each individual one-dimensional time-series data. Specifically, it is assumed that the original time series data is expressed as S={T 1 ,T 2 ,...}, where T i Represents a one-dimensional subsequence. The one-dimensional event discovery unit 110 may...

Embodiment 2

[0096] Figure 8 is a block diagram showing a system 80 for discovering multidimensional events from multidimensional time series data according to another embodiment of the present invention. The difference between the system 80 of this embodiment 2 and the system 10 of the above-mentioned embodiment 1 is that the multidimensional event discovery unit 120 also includes an overlap rate matrix calculation unit 160, such as Figure 8 shown. For the sake of brevity, only the differences between Embodiment 2 and Embodiment 1 are described below.

[0097] The overlap rate matrix calculation unit 160 calculates an overlap rate matrix representing the overlap rates of all multidimensional events with each other. The overlap rate matrix stores the overlap rates of all multi-dimensional events, which is calculated according to the degree of crossing between sub-patterns of different events, where the abscissa and ordinate of the matrix are the extracted one-dimensional events. Speci...

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Abstract

A system for discovering a multidimensional event from multidimensional timing sequence data is provided. The system includes a one-dimensional event discovering unit and a multidimensional event discovering unit. The one-dimensional event discovering unit divides the multidimensional timing sequence data into independent one-dimensional timing sequence data, and discovers a one-dimensional event from each piece of independent one-dimensional timing sequence data. The multidimensional event discovering unit includes a co-occurrence matrix calculation unit which is configured to calculate a co-occurrence matrix representing the frequency that all the one-dimensional events occur at the same time, a timing sequence matrix calculation unit which is configured to calculate a timing sequence matrix among all the one-dimensional events, and a co-occurrence event discovering unit which is configured to discover a multidimensional event according to the co-occurrence matrix and the timing sequence matrix. A method for discovering the multidimensional event from multidimensional timing sequence data is further provided. Through the system and the method, the multidimensional event can be discovered even if time differences exist among the events.

Description

technical field [0001] The present application relates to the field of data analysis, in particular to a system and method for discovering multidimensional events in multidimensional time series data. Background technique [0002] Multidimensional time-series data analysis refers to the method or process of finding useful knowledge from a time-series database composed of time-varying sequence values ​​or events. At present, time-series databases are widely used in a wide range, such as temperature, heart rate and skin humidity collected by wearable devices, and air pollution indicators CO and NO 2 , SO 2 And PM2.5, etc. belong to the category of multi-dimensional time-series data. Through the mining of multi-dimensional time-series data, a series of applications with special significance can be analyzed, such as physical health and air quality, and provide a better understanding of the rules of certain events. . [0003] In the line diagram of multidimensional time series...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
Inventor 刘博李林胡卫松刘晓炜
Owner NEC CORP
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