Properties of a Granular Computing Framework for Mining Relational Data

被引：4
|
作者：
Honko, Piotr [1 ]
机构：
[1] Bialystok Tech Univ, Fac Comp Sci, PL-15351 Bialystok, Poland
来源：
INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS | 2017年 / 32卷 / 03期
关键词：
D O I：
10.1002/int.21839
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This work investigates properties of a framework for mining relational data. The framework is constructed based on granular computing theory and is equipped with a method for deriving information granules from relational data. Such granules are the basis for discovering knowledge of a different type. It is shown in the paper that thanks to the properties one can improve the performance of tasks such as relational objects representation, search space limitation, and relational patterns generation. (C) 2016 Wiley Periodicals, Inc.
引用
收藏
页码：227 / 248
页数：22
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