Big Data Analytics on Matrimonial Data Set

Authors

  • Anurag Sinha
  • Arinjay Biswas
  • Tushar Raj
  • Aditya Misra

DOI:

https://doi.org/10.29027/IJIRASE.v4.i4.2020.722-728

Keywords:

Big Data, Data Visualization, Machine Learning, K-Mean Clustering, Density-Based Clustering

Abstract

In India online matrimonial websites are widely used among the customers and are the trusted and reputed website of the Indian globally. The number of people getting registered in the matrimonial sites it creates a lot of data sets, a lot of unstructured data sets which is floating around the internet. there comes the concept of big data analysis, big data analysis is the analysis of the data science and machine learning algorithms through which we can extract and mine the knowledgeable and informative data sets which can be used for predicting the future instances. In this paper we are analyzing the big data set from the machine learning data repository, to be driven analyze the different it is it's using implementing a different machine learning algorithm and regal the informative information. we will be implementing various data mining operations such as opinion mining and sentiment analysis data visualisation and machine learning technique, marriage information have always been an integral and confidential knowledgeable in any civilized and welleducated society. some online agency rate on these matrimonial websites by creating a profile of an individual to get in touch with the other individual for their life purposes. in this paper, we will be analysing the total number of sexual harassment and domestic violence cases that have been registered in India. since 2001 marriage culture the dowry is one of the conventional and ever emergence kind of sickness. which cannot be removed ever. using data visualisation technique by a language we will show how many cases have been registered in India in sexual harassment and dowry. we will also implement the several operations such as horoscope preferences income and statuses of the individual as per the data collected by the matrimonial data repository.

Author Biographies

Anurag Sinha

Department of Computer science and IT, Student, Amity University Jharkhand
Ranchi, Jharkhand, India

Arinjay Biswas

Department of Computer science and IT, Student, Amity University Jharkhand
Ranchi, Jharkhand, India

Tushar Raj

Department of Mathematics, Student, Birla Institute of Technology, Mesra 835215 Ranchi

Aditya Misra

Department of Computer science and IT, Student, Amity University Jharkhand
Ranchi, Jharkhand, India

Additional Files

Published

15-10-2020