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Enterprise hot event mining method based on incremental clustering

A technology of hotspot events and incremental clustering, which is applied to computer components, using information identifiers to retrieve web data, instruments, etc., to achieve an efficient effect of selecting hotspot events

Active Publication Date: 2019-01-04
DONGHUA UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, there are relatively few researches on enterprise network news at present, so the present invention will use the enterprise network news to realize the mining of enterprise hot events

Method used

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  • Enterprise hot event mining method based on incremental clustering
  • Enterprise hot event mining method based on incremental clustering
  • Enterprise hot event mining method based on incremental clustering

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Embodiment Construction

[0030] Below in conjunction with specific embodiment, further illustrate the present invention. It should be understood that these examples are only used to illustrate the present invention and are not intended to limit the scope of the present invention. In addition, it should be understood that after reading the teachings of the present invention, those skilled in the art can make various changes or modifications to the present invention, and these equivalent forms also fall within the scope defined by the appended claims of the present application.

[0031] Embodiments of the present invention relate to a mining method of enterprise hotspot events based on incremental clustering, such as figure 1 As shown, it includes the following steps: A obtains corporate network news through a web crawler; B denoises the crawled corporate network news and stores it in a database; C reads corporate news from the database for preprocessing, and the preprocessing includes text segmentation...

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Abstract

The invention relates to an enterprise hot event mining method based on incremental clustering, comprising the following steps: acquiring enterprise network news through a network crawler; de-noisingthe crawled enterprise network news and storing it in the database; reading enterprise news from database for preprocessing; cluster analysis of the preprocessed enterprise news; the centroid news being extracted from the cluster of hot events and stored in the database; obtaning the required enterprise hot spots from the database and exhibit them in chronological order. The present invention canprovide enterprises or individuals with hot events that have occurred in the past.

Description

technical field [0001] The invention relates to the technical field of data mining, in particular to a mining method for enterprise hotspot events based on incremental clustering. Background technique [0002] In recent years, there have been many topics and tasks for data mining and analysis using online news, such as news recommendation, text keyword extraction, and public opinion monitoring. There have been a lot of researches on hot topics of online news, and topic detection and tracking methods are commonly used. Similarly, for research on corporate hotspot events, similar topic detection and tracking methods can also be used. This method based on incremental clustering can extract corporate hotspot news more quickly and accurately, compared with manual search, exclusion, and selection of hot news. more efficient. However, there are relatively few researches on enterprise network news at present, so the present invention will use the enterprise network news to realize...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/951G06F16/955G06K9/62
CPCG06F18/2321
Inventor 王鹏伟蒋昌俊孙鑫章昭辉
Owner DONGHUA UNIV
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