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System for reducing and representing uncertainty of stream-oriented big data

An uncertainty and big data technology, applied in the field of systems that reduce and display the uncertainty of streaming big data, can solve problems such as models that cannot be directly applied, achieve a balance between diversity and uncertainty, and correct visual confusion and deviation Effect

Active Publication Date: 2018-05-25
ZHEJIANG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, due to the continuous growth and update of streaming big data, existing models cannot be directly applied

Method used

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  • System for reducing and representing uncertainty of stream-oriented big data
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  • System for reducing and representing uncertainty of stream-oriented big data

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Embodiment Construction

[0060] Such as figure 1 As shown, the system for reducing and presenting the uncertainty of streaming big data in this embodiment includes: a data acquisition and sampling module, an uncertainty modeling and optimization module, a visual image module, and a human-computer interaction module.

[0061] The data acquisition and sampling module is used to store streaming big data containing uncertainty, and organize and store data in the form of time series. Streaming big data usually contains multiple attributes and is classified according to user-specified attributes. For example, social media data is categorized by user accounts, organizational accounts, or topics. On the other hand, the sampled data is aggregated in the time dimension according to the fine-grained time specified by the user. The sampling method used the reservoir sampling method. In this way, streaming big data uses a time series collection for characterization. any time series l k value at time t Deri...

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Abstract

The invention discloses a system for reducing and representing the uncertainty of stream-oriented big data. The system comprises a data collecting and sampling module for storing the stream-oriented big data with uncertainty and organizing and storing the data in the form of time sequence set according to the property and timestamp designated by a user, an uncertainty modeling optimizing module for establishing an uncertainty quantitative model according to the stored data in the data collecting and sampling module according to time-dependent fluctuation features and solving the uncertainty quantitative model to obtain uncertainty information of individual time sequences and the time sequence set, a visual image module for visualizing the uncertainty information of different layers of theuncertainty quantitative model, and a man-machine interaction module for allowing a user to adjust parameters of the uncertainty quantitative model through experience. The different layers include theindividual layer for representing the time sequence variation of the uncertainty of the individual time sequences through the variation of the line opaqueness and the global layer representing the uncertainty information of the time sequence set.

Description

technical field [0001] The invention relates to the field of mining and analysis of streaming big data, in particular to a system for reducing and displaying the uncertainty of streaming big data. Background technique [0002] The development of information technology has made the application of streaming big data more and more extensive, such as the flow analysis of social groups, real-time monitoring of smart factories, etc. How to efficiently display streaming big data and quickly analyze the regular patterns contained in it is a current research hotspot in big data science. Tracking and analyzing streaming big data allows analysts and decision makers to maintain a high degree of awareness of the real situation, so that they can respond to various crises in a timely manner and make correct responses. However, due to the huge scale of streaming big data, people usually have to use sampling technology for real-time processing and analysis. However, sampling technology ine...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
CPCG06F16/24568G06F16/2462G06F16/26
Inventor 巫英才唐谈
Owner ZHEJIANG UNIV
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