Data Mining for High-Dimensional Measurement Systems

被引：2

作者：

Mikut, Ralf ^{[1
]}

机构：

[1] Karlsruher Inst Technol, D-76344 Eggenstein Leopoldshafen, Germany

来源：

TM-TECHNISCHES MESSEN | 2010年 / 77卷 / 10期

关键词：

Data Mining; sensor networks time series; image processing; FUZZY;

D O I：

10.1524/teme.2010.0083

中图分类号：

TH7 [仪器、仪表];

学科分类号：

0804 ; 080401 ; 081102 ;

摘要：

Data mining approaches base on a powerful methodology Since many years, they have been applied to different problems in technics, natural sciences, and economics Earlier data mining methods were restricted to data sets consisting of tables with a manageable number of features Now there is a growing need for the analysis of high dimensional data resulting from sensor networks with high resolution time series, images, and videos The paper introduces the underlying methods and gives an overview about major application fields

引用

页码：524 / 529

页数：6

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