一种数值篮子分析框架

T. Washio, Atsushi Fujimoto, H. Motoda
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引用次数: 1

摘要

本文对篮分析进行了数学表征,并将其推广到搜索集合族。这些理论表明了各种数据挖掘新方法的可能性。我们通过提出一种新颖的方法QARMINT来展示其潜力。它在较低的时间复杂度内完成了通用qar的完整挖掘,这在过去的工作中没有得到很好的解决。其性能评价显示出较高的实用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Framework of Numerical Basket Analysis
Basket Analysis is mathematically characterized and extended to search families of sets in this paper. These theories indicate the possibility of various new approaches of data mining. We demonstrate the potential through proposal of a novel approach QARMINT. It performs complete mining of generic QARs within a low time complexity which has not been well addressed in the past work. Its performance evaluation shows high practicality.
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