摘要
提出云计算环境下手机的情景模式智能化学习模型和一系列的实现算法.在云计算环境下,用户可以定制情景模式智能化服务,从而实现根据用户的时间、地点等信息自动设置手机情景模式.在云中利用社会网络中用户的信息及其相应的情景模式作为训练集合,采用基于关联分类挖掘的规则学习算法学习得到一系列的情景模式规则;利用社会网络中用户之间的社会性和相似性,选择用户相关的规则并将其推荐给定制服务的用户使用;用户可以读取和编辑自己的规则并反馈到云中,利用增量改进策略进一步提高情景模式规则的精确度.实验证明,该模型具有较好的精确性和可行性.
In this paper,we propose a Cloud Computing-oriented model and a series of algorithms for scenario mode intelligent adaptation of mobile devices.With Cloud Computing,users adopting the intelligent adaptation service can achieve automatic configuration for their mobile devices based on their time,location,etc.First,we learn a set of configuration rules in clouds with associative classification mining-based rule learning methods,where a set of time and location information of users are considered as the training data,and the corresponding configurations of the mobile devices are considered as their labels.Then,we can recommend some relevant rules for the future users based on the connections and similarity between them and existing users based on social network.These rules are readable and editable for users,and such edition information from users can feed back to the clouds,based on which the service accuracy can be further improved in an incremental strategy.Experimental results demonstrate the feasible and potential of our model.
出处
《小型微型计算机系统》
CSCD
北大核心
2013年第1期125-130,共6页
Journal of Chinese Computer Systems
基金
国家自然科学基金项目(71171122)资助
山东省自然科学基金项目(ZR2010FM003)资助
山东财政学院博士科研启动资金项目(10BSJJ07)资助
关键词
云计算
情景模式
数据挖掘
规则学习
社会网络
cloud computing
scenario mode
data mining
rule learning
social network
