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语义Web下大数据量模糊聚类分析 被引量:2

Fuzzy Cluster Analysis of Large Data under Semantic Web
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摘要 近年来,语义Web在信息共享、系统集成、基于知识的软件开发等方面具有重要作用和广阔应用前景。针对电影商业数据库中海量数据不能有效利用的问题,将语义Web和FCM算法结合应用进行系统设计,实验表明,该方法能将看似无关的信息加以聚集,深化挖掘大数据量中所包含的知识,提取出对电影市场有价值的规则。 Semantic web has played an important role in information sharing,system integration and knowledge-based software development in recent years.It will have a broad application in the future.In view of the inefficient use of the large quantities of data in film business industry,this paper proposes to combine semantic web and FCM algorithm in system design.Experiments show that this method can gather information of no obvious relevance,excavate knowledge contained in large data and extract rules valuable to film market.
作者 季文天
出处 《电脑知识与技术》 2011年第9X期6571-6572,共2页 Computer Knowledge and Technology
关键词 语义WEB 数据 模糊聚类 semantic Web data fuzzy cluster
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