Data Mining with Histograms and Domain Knowledge - Case Studies and Considerations

被引：3
|
作者：
Rauch, Jan [1 ]
Simunek, Milan [1 ]
机构：
[1] Univ Econ, Fac Informat & Stat, Nam W Churchilla 4, Prague 13067 3, Czech Republic
来源：
FUNDAMENTA INFORMATICAE | 2019年 / 166卷 / 04期
关键词：
histograms; logical calculus of histograms; expert deduction rules; GUHA procedure CF-Miner; ASSOCIATION RULES;
D O I：
10.3233/FI-2019-1805
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
An approach to data mining with histograms is introduced. Several examples of applying data mining for various types of histogram are presented. The problem of filtering out uninteresting histograms is described. It is shown that no suitable, logically correct deduction rules to solve this problem exist. Expert deduction rules are introduced as deduction rules supported by indisputable facts, however, incorrect according to mathematical logic. A method for deciding whether a given expert deduction rule is correct according to a given indisputable fact is developed. Applied examples of correct expert deduction rules are described.
引用
收藏
页码：349 / 378
页数：30
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