Automated Learning of User-Behaviour Patterns in Intelligent House Environment

被引：0

作者：

Adamek, Dominika ^{[1
]}

Popek, Grzegorz ^{[1
]}

机构：

[1] Wroclaw Univ Sci & Technol, Dept Comp Sci & Management, Wyb Wyspianskiego 18, PL-50370 Wroclaw, Poland

来源：

2017 10TH INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING, BIOMEDICAL ENGINEERING AND INFORMATICS (CISP-BMEI) | 2017年

关键词：

mart environments; sequential pattern mining; user behaviour; automated learning; ambient intelligencemart environments; ambient intelligences; RULES;

D O I：

暂无

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

Intelligent environments become omnipresent and grow increasingly autonomous. Following this trend, the focus of an undertaken research is set on unassisted learning a behaviour of an user situated in an intelligent house. In the paper we discuss some candidate approaches to this problem - mostly focusing on a sequential pattern mining approach - and propose some tweaks showing possibilities of their further extension.

引用

页数：6

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