Investigation Of Immunization Pattern Changes With Big Data Analytics In Accordance With A Rural Area Of Coimbatore Region Using Decision Tree Algorithm

Immunizations are made an important and integral part of adopted to the public welfare. the health development efforts. To improve the perceptions on immunization in a human, it is important to analyze its present status in those fields. This paper Keywords: Big data, immunization, classification, decision tree. 1. INTRODUCTION analyzes the perceptions on immunization in a rural area of Coimbatore. It is obtained by collecting and analyzing the rural data about immunization. This kind of data can be of large volume and that must be processed and transformed into useful results and hence data mining can greatly improve this task. The application of data mining techniques can produce important results in this analysis. The analysis of immunization awareness helps to know the percentage of people who are aware of immunization being provided. This can be used by government authorities to find areas that are needed to be improved in that rural area. The results obtained from this analysis can helps to know about the percentage of immunization awareness and improve it in rural areas. As data mining is the appropriate field to apply on this kind of big data, and knowledge extracted using data mining approaches will be useful to support government authorities.