Research on Data Mining Model Based on Context-Aware System

被引：0

作者：

Yang Wen-yi ^{[1
]}

Ye Dan ^{[2
]}

Xiao Bo ^{[1
]}

Lin Zhi-qing ^{[1
]}

Lu Yue-ming ^{[1
]}

机构：

[1] Beijing Univ Posts & Telecommun, SICE, Beijing 100876, Peoples R China

[2] China Unicom Res Inst, Terminal Res Ctr, Beijing 100032, Peoples R China

来源：

PROCEEDINGS OF THE 31ST CHINESE CONTROL CONFERENCE | 2012年

关键词：

context-aware; data mining; system model; ubiquitous computing; ontology;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Context-awareness has been quite a hotspot in both academia and business community for the past few years all over the world. The context data has the feature of diversity, therefore, the effective methodology to extract useful information from large-scale data set should be provided, which can support intelligence of human-computer interactive. By analyzing the existing technology, the Context-aware Data Mining Model is constructed in this paper, and its utilizations in context-aware computing have been clarified. Additionally, we propose corresponding scheme of data mining for different system application feature, and summarize the features of data mining based on context-aware.

引用

页码：3789 / 3793

页数：5

共 19 条

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