A novel feature selection technique for unstructured data analysis 1Mr

Abstract

Nowadays social networking has a rapid growth among the users. They post many events which makes difficult to search for a particular event. To avoid this the mining technique is being brought to split the events according to its domain. The summarized form is being changed to attributes. Here temporal database is being used for handling data time. Feature Selection is used for simplification of events. Therefore it could be easier to understand the evolutionary trends in the data set. To evaluate the upcoming proposed method, many experiments are done to produce in qualitative and quantitative manners in social media networking.