文章基本信息

标题：The Six Technical Gaps between Intelligent Applications and Real-Time Data Mining: A Critical Review
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作者：Fong, Simon ; Yang, Hang
期刊名称：Journal of Emerging Technologies in Web Intelligence
印刷版ISSN：1798-0461
出版年度：2011
卷号：3
期号：2
页码：63-73
DOI：10.4304/jetwi.3.2.63-73
语种：English
出版社：Academy Publisher
摘要：Intelligent application is characterized by its ability to make decision autonomously. Some examples are distributed agents that collaboratively complete a complex task, yet each one of them is able to work and reason independently given the dynamic situation where they are in. The underlying think tank is often a collection of core mechanisms that include environment sensing, data capturing, data mining, ETL, knowledge processing, and decision making etc. All these techniques when placed and function together as a whole intelligent system, they will have to fulfill stringent deadlines imposed by the requirements of a real-time system. In the literature many research papers can be found on a wide variety of data mining techniques that enable intelligent applications operating in real-time. This report offers a critical review of the relevant literature, and contributes to the knowledge of identifying their shortcomings, so-called the technical gaps between the real-time requirements of a general intelligent system and the supporting components. A discussion follows on the possibilities of future intelligent applications that are empowered by data stream mining.
关键词：Intelligent applications; Real-time data mining; Data stream mining