期刊名称：International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
印刷版ISSN：2278-1323
出版年度：2015
卷号：4
期号：3
页码：925-928
出版社：Shri Pannalal Research Institute of Technolgy
摘要：In wide applications over finding and modeling the user personality according to the behavior and variety of domains that adapts its new technologies for health care kind of technologies. Different procedures used for extending information about unrelated data structure that carries out personality for finding desired personality. There are many behavioral pattern for social networks that personality based pre collected data and analyzing the user interactions with their traits information. All these details were collected from social network sites like Facebook. From collected data we can train and mine data with classifier technique from many machine learning type of technologies that provide information about personal traits, user interactions which shows accurate level of accuracy. In our proposed paper we device a technique that use classifier from Facebook like social network sites and it applies different types of data mining along with data dredging and data snooping. It constitutes dominant data structure with appearance of all types of information. From this community graphs it undergo graph mining. It extracts useful pattern oriented structured data that have graph representation. It provides link structure along with rank prediction that understands relationship from creation of online groups.
关键词：Data mining; data dredging; data snooping; ; social network sites; social network data mining; graph mining
