大数据下的数据挖掘与筛选系统创新——以邻避为例

Minxuan Li
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引用次数: 0

摘要

随着网络爬虫技术的日益成熟和大数据时代的到来,当你想要研究一些问题时,你可以通过网络爬虫等手段直接获得与之相关的所有数据,但对数据进行挖掘和过滤,为研究内容获取有价值的数据更为重要。本研究以关键词词表为基础,利用CRN网络构建语义距离表和TOPSIS评价系统对数据进行排序,确保研究者能够获得具有研究价值的定量筛选数据,为研究者提供科学的筛选方法。
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Innovation of Data Mining & Screening System under Big Data: Take a case as NIMBY
With the growing maturity of web crawler technology and the advent of the era of big data, when you want to study some problems, you can directly get all the data related to them through web crawlers and other means, but it is more important to mining and filter the data to get valuable data for the research content. This study which based on the word list of keywords uses CRN network to construct semantic distance table and TOPSIS evaluation system to sort data to make sure researchers can obtain quantitative screening data with research value and to provide researchers with scientific screening methods.
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