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Method for processing time series and system thereof

A data processing system and time series technology, applied in the field of time series data processing methods and systems, can solve problems such as slow efficiency, and achieve the effects of low accuracy, maintaining response time, and stable response time

Inactive Publication Date: 2016-05-25
INSTITUTE FOR INFORMATION INDUSTRY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] At present, the data sequence processing is processed by the traditional data processing method. When using the data statistics method of the traditional database for processing, the comprehensive data is still considered. For the huge amount of time series data, the efficiency will be unrealistically slow

Method used

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  • Method for processing time series and system thereof
  • Method for processing time series and system thereof
  • Method for processing time series and system thereof

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Embodiment Construction

[0015] Various exemplary embodiments will be described more fully hereinafter with reference to the accompanying drawings, in which some exemplary embodiments are shown. However, inventive concepts may be embodied in many different forms and should not be construed as limited to the illustrative embodiments set forth herein. Rather, these exemplary embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the inventive concept to those skilled in the art. In the drawings, the size and relative sizes of layers and regions may be exaggerated for clarity. Like numbers indicate like components throughout.

[0016] The embodiment of the present invention mainly distributes multiple data of time series data to multiple data groups in a distributed manner and performs statistical calculations respectively. Next, the value of the new input data of the time series data is compared with each data set and the new input data is ad...

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Abstract

A method for processing time series is disclosed. In the method, the time series is distributed into a plurality of indexes. A statistical method is applied to the data in each index for generating corresponding statistical result. The statistical result is the value with respect to the every index, and also the record with respect to the indexes in the time series. The statistical result for the every index is temporarily buffered. After that, a new input time series is compared with the statistical result for every index so as to select one of the indexes. The new input data is therefore inserted to the selected index. The statistical method is then applied to this selected index again. A new statistical result is generated. The record is updated as referring to the selected index and the new corresponding statistical result.

Description

technical field [0001] The present invention proposes a data processing method, in particular to a time series data processing method and system thereof. Background technique [0002] In this era of information explosion, time series data are closely related to our lives, such as personal preferences on social networking sites, the number of visitors to a tourist attraction, and even stock prices, price indexes, inflation rates, interest rates, exchange rates, etc. They are all data that we are exposed to all the time in our daily information or financial issues. However, in order to understand and utilize these huge amounts of time series data, it is generally necessary to index, search, and process the data to obtain relevant statistical data, so as to present relevant search results or trends to achieve business strategies or financial transactions. Purpose is quite important. [0003] At present, the data sequence processing is processed by the traditional data process...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
CPCG06F16/24552G06F16/2322
Inventor 古永忠蔡宗融陈立群
Owner INSTITUTE FOR INFORMATION INDUSTRY
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