A bulletin board system(BBS) hot topic mining algorithm based on fuzzy clustering was developed to solve the problem of the post thread with multiple topics and identifying the outliers in clustering.
为解决单个帖子线索的多话题性问题，识别聚类中的孤立点，提出一种基于模糊聚类的网络论坛（BBS）热点话题挖掘算法。
With occurrences of many related applications, recently frequent episodes mining in event stream has become a hot research topic in data mining field.
在事件流上挖掘频繁片断已经成为近来研究的热点，在很多应用中起到重要作用。
Discovery of association rules is a very hot topic in data mining research, which has been found applicable and useful in many areas.
关联规则发现是数据库中知识发现研究中的热点课题，有着广泛的应用领域。
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