• K.Rama Krishna Reddy

In this paper, i presented Link prediction, which could be a vital task for analyzing social networks that in accumulation have applications in many domains like, information retrieval, bioinformatics, and e-commerce. Currently, I incline to experience a rising of the number of social-based on-line systems. The availability of the massive volumes of data gathered in those systems brings new challenges that we tend to face once trying to analysis it. Throughout this work, I incline to possess an interest to tackle the matter of link prediction under challenging networks. Significantly, I likely to explore topological approaches for link prediction. Entirely different topological proximity measures are studied among the scientific literature for locating the chance of look of latest links during a complicated network. Link Prediction could be a locality of great interest in social network analysis. The expansion of social networks happens as a result of adding new users and new links between users.

Apriori Algorithm,networked data; multi-label classification; link prediction.

"Link Prediction-based Multi-label Classification of Networked Data Using Apriori Algorithm", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 1, page no.671-676, January-2018, Available :http://www.jetir.org/papers/JETIR1801130.pdf

"Link Prediction-based Multi-label Classification of Networked Data Using Apriori Algorithm", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 1, page no. pp671-676, January-2018, Available at : http://www.jetir.org/papers/JETIR1801130.pdf