Y or X⊕Y). Such rules are a natural generalisation to the kind of rules that have been mined hitherto. Furthermore, disjunctive association rules are generalised in the sense that the algorithm also mines rules which have disjunctions of conjuncts (Ccustom character(Acustom characterB)custom character(Dcustom characterE)). Since the number of combinations of disjuncts is explosive, we use clustering to find a generalized subset. The said clustering is preferably performed using agglomerative clustering methods for finding the greedy subset."/> Mining of generalized disjunctive association rules
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Mining of generalized disjunctive association rules

机译:广义析取关联规则的挖掘

摘要

The present invention provides a system and a method for mining a new kind of association rules called disjunctive association rules, where the antecedent or the consequent of a rule may contain disjuncts of terms (Xcustom characterY or X⊕Y). Such rules are a natural generalisation to the kind of rules that have been mined hitherto. Furthermore, disjunctive association rules are generalised in the sense that the algorithm also mines rules which have disjunctions of conjuncts (Ccustom character(Acustom characterB)custom character(Dcustom characterE)). Since the number of combinations of disjuncts is explosive, we use clustering to find a generalized subset. The said clustering is preferably performed using agglomerative clustering methods for finding the greedy subset.
机译:本发明提供了一种用于挖掘被称为析取关联规则的新型关联规则的系统和方法,其中,规则的前提或结果可以包含词语的析取(X “ Y或X&oplus)。这样的规则是对迄今已开发的规则的自然概括。此外,从算法还挖掘具有析取关系的规则的意义上说,析取关联规则是通用的(C “(A <图像alt =”自定义字符“ file =” US06754651-20040622-P00902.GIF“ he =” 20“ id =“ CUSTOM-CHARACTER-00003” imgContent =“未定义” imgFormat =“ GIF” wi =“ 20” /> B)<图像alt =“自定义字符” file =“ US06754651-20040622-P00900.GIF” he =“ 20 “ id =” CUSTOM-CHARACTER-00004“ imgContent =”未定义“ imgFormat =” GIF“ wi =” 20“ />(D <图像alt =”自定义字符“ file =” US06754651-20040622-P00902.GIF“他= “ 20” id =“ CUSTOM-CHARACTER-00005” imgContent =“ undefined” imgFormat =“ GIF” wi =“ 20” /> E))。由于析取词的组合数量是爆炸性的,因此我们使用聚类来找到广义子集。所述聚类优选地使用用于寻找贪婪子集的聚类聚类方法来执行。

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