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Stream data-based clustering method

A clustering method and streaming data technology, applied in the field of electrical data processing, can solve problems such as difficulty in clustering streaming data

Inactive Publication Date: 2017-08-18
GUANGZHOU TARIVON INFORMATION TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] In view of this, the present invention provides a clustering method for recording stream data to solve the existing difficulty in clustering stream data

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Embodiment Construction

[0060] Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numerals in different drawings refer to the same or similar elements unless otherwise indicated. The implementations described in the following exemplary examples do not represent all implementations consistent with the present invention. Rather, they are merely examples of apparatuses and methods consistent with aspects of the invention as recited in the appended claims.

[0061] The terminology used in the present invention is for the purpose of describing particular embodiments only and is not intended to limit the invention. As used herein and in the appended claims, the singular forms "a", "the", and "the" are intended to include the plural forms as well, unless the context clearly dictates otherwise. It should also be understood that the term "and / or" as use...

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Abstract

The invention provides a stream data-based clustering method. The clustering method comprises the steps of generating k random seeds according to a preset algorithm; performing weighted k-mean+ on the k random seeds; and performing stream data clustering according to a weighted k-mean+ result. According to the method, the k random seeds are generated according to the preset algorithm, the k random seeds are subjected to weighted k-mean+, and the stream data clustering is performed according to the weighted k-mean+ result, so that mixed data and various shape data can be processed and the problem of the stream data clustering is solved with relatively high efficiency.

Description

technical field [0001] The invention relates to the field of electrical data processing, in particular to a clustering method based on flow data. Background technique [0002] Today, society is in the era of information explosion, and a steady stream of data flows in in the form of data flow. Users will generate a large number of login or usage records when they log in to the server. For the stream data generated by these records, using data mining methods can help people effectively and automatically identify abnormal behavior operations, such as unauthorized data use, abnormal data operations, cyber attacks etc. As a practical and effective method, the data mining method of streaming data clustering is widely used in various websites and platforms. [0003] The streaming data clustering algorithm problem is very challenging. The traditional data clustering algorithm can perform multiple repeated operations on all data, so that good results can be obtained. However, due...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
CPCG06F16/2465G06F16/24568G06F16/285
Inventor 李翠微王昌栋梁文斌
Owner GUANGZHOU TARIVON INFORMATION TECH