Accurate Temporal Relationships in Sequences of User Behaviours in Intelligent Environments

被引：4

作者：

Aztiria, Asier ^{[1
]}

Augusto, Juan Carlos ^{[2
]}

Basagoiti, Rosa ^{[1
]}

Izaguirre, Alberto ^{[1
]}

机构：

[1] Univ Mondragon, Arrasate Mondragon, Spain

[2] Univ Ulster, Coleraine BT52 1SA, Londonderry, North Ireland

来源：

AMBIENT INTELLIGENCE AND FUTURE TRENDS - INTERNATIONAL SYMPOSIUM ON AMBIENT INTELLIGENCE (ISAML 2010) | 2010年 / 72卷

关键词：

Ambient Intelligence; Learning patterns; Temporal relations;

D O I：

10.1007/978-3-642-13268-1_3

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Intelligent Environments are supposed to act proactively anticipating users' needs and preferences in order to provide effective support. Therefore, learning users' frequent behaviours is essential to provide such personalized services. In that sense, we have developed a system, which learns those frequent behaviours. Due to the complexity of the entire learning system, this paper will focus on discovering accurate temporal relationships to define the relationships between actions of the user.

引用

页码：19 / +

页数：3

共 15 条

[1] TOWARDS A GENERAL-THEORY OF ACTION AND TIME [J].