期刊名称：International Journal of Engineering and Computer Science
印刷版ISSN：2319-7242
出版年度：2014
卷号：3
期号：3
页码：5185-5190
出版社：IJECS
摘要：Technology has its own way to understand the aspect of human social life, in this prospect weconsider collective context in the sense of an individual scalability of the Data set in the perspective ofconsidering the network is a network that relies on computing power of its clients rather than in the networkitself on attribute. a set of information-theoretic techniques based on clustering that discover duplicate, oralmost duplicate, tuples and attribute values in a relation instance. From the information collected about thevalues, we then presented an approach that groups attribute so that duplication in each group is as high aspossible. The groups of attributes with large duplication provide important clues for the re-design of theschema of a relation. We consider the context using these clues, since we consider the node mechanism flowputting forward to the level of highest cluster in the social networking domain
