Web News Mining using Back Propagation Neural Network and Clustering using K-Means Algorithm in Big Data

Sukhpal Kaur and Er  Mamoon Rashid nbsp

doi:10.17485/ijst/2016/v9i41/95598

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Web News Mining using Back Propagation Neural Network and Clustering using K-Means Algorithm in Big Data

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Indian Journal of Science and Technology

DOI: 10.17485/ijst/2016/v9i41/95598

Year: 2016, Volume: 9, Issue: 41, Pages: 1-8

Original Article

Web News Mining using Back Propagation Neural Network and Clustering using K-Means Algorithm in Big Data

Sukhpal Kaur and Er. Mamoon Rashid

Department of Computer Science Engineering, Chandigarh University, Gharuan, Mohali – 140413, Punjab, India; [email protected], [email protected]

This work is licensed under a Creative Commons Attribution 4.0 International License.

Abstract

In today’s era, technology increasing day by day that changes the needs and minds of human beings. In this modern world handling data and information is the main problem. Many new technologies are developed for gathering the large data like Big data. In Big data many techniques and technologies are there like K-means. In this paper the main focus of research is to manage huge amount of news like BBC news channel data from the internet. To overcome the problem of managing the web news data, a clustering based K-means and Back Propagation Neural Network algorithm for classification is proposed. In this news are classified and categorized on the basis of text and content to provide the accurate news with less running time.

Keywords: Back Propagation, Big Data, Clustering, Data Mining, Web Mining