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针对校园网出口拥塞问题,提出一种基于行为分析的用户兴趣建模方法,通过用户参与时间来衡量并计算不同种类应用的用户访问兴趣度,在用户兴趣度的基础上结合通道管理技术进行带宽管理策略研究,实现动态带宽管理。实施结果表明,该方法能够有效地提高用户的网络满意度。 相似文献
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基于统计相关性的兴趣关联规则的挖掘 总被引:8,自引:0,他引:8
本文首先对关联规则的支持—置信框架存在的不足进行了分析,然后引入了规则的兴趣度概念,利用兴趣度来约束冗余关联规则的产生,以提高挖掘知识的有用性,并给出了算法描述。 相似文献
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In this paper,ARM iner,a data mining tool based on association rules,is introduced.Beginning with the system architecture,the characteristics and functions are discussed in details,including data transfer,concept hierarchy generalization,mining rules with negative items and the re-development of the system.An example of the tool‘s application is also shown.Finally,Some issues for future research are presented. 相似文献
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应对同质竞争的个性化包装设计 总被引:1,自引:1,他引:1
基于商品同质化与包装设计同质化的市场竞争,提出从包装结构设计角度考虑的个性化设计方法,并从包装结构的趣味性、舒适性、多用途来展开分析,重新认识、思考现代包装结构设计的新形态、新理念,以适应市场经济的需要。 相似文献
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Alex A. Freitas 《Artificial Intelligence Review》2001,16(3):177-199
This is a review paper, whose goal is tosignificantly improve our understanding of thecrucial role of attribute interaction in datamining. The main contributions of this paperare as follows. Firstly, we show that theconcept of attribute interaction has a crucialrole across different kinds of problem in datamining, such as attribute construction, copingwith small disjuncts, induction of first-orderlogic rules, detection of Simpson's paradox,and finding several types of interesting rules.Hence, a better understanding of attributeinteraction can lead to a better understandingof the relationship between these kinds ofproblems, which are usually studied separatelyfrom each other. Secondly, we draw attention tothe fact that most rule induction algorithmsare based on a greedy search which does notcope well with the problem of attributeinteraction, and point out some alternativekinds of rule discovery methods which tend tocope better with this problem. Thirdly, wediscussed several algorithms and methods fordiscovering interesting knowledge that,implicitly or explicitly, are based on theconcept of attribute interaction. 相似文献
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SI Kang 《数字社区&智能家居》2008,(24)
关联规则是一种常见的知识表达形式。本文介绍了关联规则的提取模式和基于PS架构提取模式的不足;介绍了关联规则兴趣度的定义,包括客观兴趣度和主观兴趣度以及综合兴趣度。 相似文献
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The ubiquitous low-cost connectivity synonymous with the internet has changed the competitive business environment by dissolving
traditional sources of competitive advantage based on size, location and the like. In this level playing field, firms are
forced to compete on the basis of knowledge. Data mining tools and techniques provide e-commerce applications with novel and
significant knowledge. This knowledge can be leveraged to gain competitive advantage. However, the automated nature of data
mining algorithms may result in a glut of patterns — the sheer numbers of which contribute to incomprehensibility. Importance
of automated methods that address this immensity problem, particularly with respect to practical application of data mining
results, cannot be overstated. We first examine different approaches to address this problem citing their applicability to
e-commerce whenever appropriate. We then provide a detailed survey of one important approach, namely interestingness measure,
and discuss its relevance in e-commerce applications such as personalization in recommender systems. Study of current literature
brings out important issues that reveal many promising avenues for future research. We conclude by reiterating the importance
of post-processing methods in data mining for effective and efficient deployment of e-commerce solutions. 相似文献