On Modeling Data Mining with Time Granularity

被引：1

作者：

Luo, Zhong ^{[1
]}

Jun, Wu ^{[1
]}

机构：

[1] Wuhan Univ Technol, Sch Comp Sci & Technol, Wuhan 430070, Hubei, Peoples R China

来源：

PROCEEDINGS OF THE 2009 INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND NATURAL COMPUTING, VOL II | 2009年

关键词：

Granular Computing; Time Granularity; Multi-level Index; Data Mining;

D O I：

10.1109/CINC.2009.187

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Granular Computing (GrC) is an umbrella term to cover any theory, methodology, technique and tool that makes usage of granules in the complex problem solving and provides an effective method for massive data-mining in huge data warehouse system. This paper presents a time granularity model firstly and then put the time granularity in applications which can reflect Granular Computing(GrC) mining at different times levels.

引用

页码：299 / 302

页数：4

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