Massive associated data analysis and visualization implementation method based on cloud computing platform

Abstract

The invention relates to the technical field of information processing technology, and especially relates to a massive associated data analysis and visualization implementation method based on a cloud computing platform. According to the same information unit included in different data recordings, a big data processing framework under a cloud computing platform is used to abstract associated information of target information. On the basis, a visualization tool is used to draw a relational map with the target information as a 0-stage node. The information processing realizes task automatic segmentation and parallel computing in the big data processing framework of the cloud computing platform, and processing efficiency is high. The method intuitively and clearly realizes associated relation visualization and mapping of massive targets, and the associated relations are clear at a glance, so as to provide reliable reference base for target background analysis, market popularization, risk prediction and control.

Description

technical field [0001] The present invention relates to the technical field of the Internet, and in particular to a cloud computing platform-based massive associated data analysis and visualization implementation method. Background technique [0002] With the development of society and the advancement of science and technology, the connection between individuals or groups has become closer, and the close connection has promoted the rapid dissemination and growth of information. Today's world has already entered the information age. Growth and accumulation, the era of big data is approaching. The basic characteristics of big data: large data volume, various types, low value density, fast speed and high timeliness; as the most important feature: large data volume and low value density are troublesome The difficulty of mining and utilizing such massive data information, how to accurately obtain the information that people care about in the massive data is like finding a needle ...

AI Technical Summary

Problems solved by technology

[0002] With the development of society and the advancement of science and technology, the connection between individuals or groups has become closer, and the close connection has promoted the rapid dissemination and growth of information. Today's world has already entered the information age. Growth and accumulation, the era of big data is approaching. The basic characteristics of big data: large data volume, various types, low value density, fast speed and high timeliness; as the most important feature: large data volume and low value density are troublesome The difficulty of mining and utilizing such massive data information, how to accurately obtain the information that people care about in the massive data is like finding a needle in a haystack; at the same time, facing the massive amount of information, how to analyze the relationship between certain types of information Correlation, and use this to analyze the hidden value behind the information, to reflect the value of data information at a higher and deeper level, but in the face of such a massive amount of data, if you want to quickly and accurately analyze the relationship between the data, very difficult

[0003] For a specific information target, how to analyze the relationship between the target and other targets has more practical significance in many fields, because the target with the relationship often has a greater impact than a single simple individual when performing various activities. In addition, targets with related relationships will be restrained or supported by internal related relationships when they establish various activities externally, which will be more complicated than the activity track of simple targets.

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