重构冰山格用于多层次分析

Rafik Taouil, Ilyass Belghannou
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引用次数: 0

摘要

我们介绍了多层冰山概念格的MLIL层次结构,并展示了它们在具有有序属性的超大型事务性数据库数据挖掘中的应用。MLIL是冰山格的一种重组,在将不需要的背景知识投入输出后,它尊重项目集的层次结构,并且通过属性上的顺序关系显式显示。MLIL还可以作为一种新的用于多级分析的频繁项集的浓缩表示,作为广义关联规则计算基数的起点,作为一种广义关联规则的可视化方法。MLIL是基于反链格的晶格结构上的顺序属性和冰山格,两者都是基于形式概念分析理论,应用于数据分析,信息检索和知识发现的数学理论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Restructuring Iceberg Lattice For Multilevel Analysis
We introduce the hierarchy called MLIL for multilevel iceberg concept lattices, and show their use in data mining in very large transactional database, with ordered attributes. MLIL is a restructuring of the iceberg lattice, which respects the hierarchical levels of the itemsets after having plunged unwanted background knowledge at the output, and which are explicit by the order relation on the attributes. MLIL also serve as a new condensed representation of frequent itemsets for multilevel analysis, as a starting point for computing bases of generalized association rules, and as a visualization method for generalized association rules. MLIL is based on the lattice structure of the antichains lattice of the order on the attributes, and on the iceberg lattices and both are based on the theory of Formal Concept Analysis, a mathematical theory with applications in data analysis, information retrieval, and knowledge discovery.
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