首页> 外文会议>International Conference on Enterprise Information Systems >MINING THE RELATIONSHIPS IN THE FORM OF PREDISPOSING FACTOR AND CO-INCIDENT FACTOR IN TIME SERIES DATA SET BY USING THE COMBINATION OF SOME EXISTING IDEAS WITH A NEW IDEA FROM THE FACT IN THE CHEMICAL REACTION
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MINING THE RELATIONSHIPS IN THE FORM OF PREDISPOSING FACTOR AND CO-INCIDENT FACTOR IN TIME SERIES DATA SET BY USING THE COMBINATION OF SOME EXISTING IDEAS WITH A NEW IDEA FROM THE FACT IN THE CHEMICAL REACTION

机译:通过使用一些现有想法的组合,从化学反应中的事实中使用一些现有想法的组合,以时间序列数据集的形式挖掘了易感因子和共入因子的关系。

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In this work we propose new algorithms from the combination of many existing ideas consisting of the reference event as proposed in (Bettini, Wang et al. 1998), the event detection technique proposed in (Guralnik and Srivastava 1999), the causal inference proposed in (Blum 1982; Blum 1982) and the new idea about the character of the catalyst seen in the chemical reaction. We use all of these ideas to build up our algorithms to mine the predisposing factor and co-incident factor of the reference event of interest. We apply our algorithms with OSS (Open Source Software) data set and show the result.
机译:在这项工作中,我们提出了从(Bettini,Wang等,1998)中提出的参考事件组成的许多现有思想组合的新算法,所提出的(Guralnik和Srivastava 1999)中提出的事件检测技术,所提出的因果推断(BLUM 1982; BLUM 1982)和关于化学反应中所见催化剂特征的新想法。我们使用所有这些想法来建立我们的算法来挖掘引发感兴趣的参考事件的易感因素和共入因子。我们使用OSS(开源软件)数据集应用我们的算法并显示结果。

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