Prasanthi Gottumukkala¹and G.Srinivasa Rao^2
1Jawaharlal Nehru Technological University, Vijayanagaram and ²GITAM University, India

A collection of datasets is Big data so that it to be To process huge and complex datasets becomes difficult. so that using big data analytics the process of applying huge amount of datasets consists of many datatypes is the big data on-hand theoretical models and technique tools. The technology of mobile communication introduced low power ,low price and multi functional devices. A ground for data mining research is analysis of data pertaining to mobile communication is used. theses mining frequent patterns and clusters on data streams collaborative filtering and analysis of social network. The data analysis of mobile communication has been often used as a background application to motivate many technical problem in data mining research. This paper refers in mobile communication networking to find the fault nodes between source to destination transmission using data mining techniques and detect the faults using outliers. outlier detection can be used to find outliers in multivariate data in a simple ensemble way.Network analysis with R to build a network

Mobile communication, Data mining, Big Data, R Language , fault detection & outlier