Journal of Data Mining and Knowledge Engineering ISSN: 3139-5341 (Online)

Abstract

Big data is one of the most popular and most significant used terms to describe the epidemic growth and availability of data in the modern age. It describes any multitudinous amount of both structured and unstructured data that has the potential to be mined for information. Due to the voluminous amount of data, it becomes more complex to perform in effective manner. Nowadays, it is not provide accurate result. If data collection (or) analysis may not have enough accuracy, then it will critically affect the decision based on an analytics. This paper provides a survey of recent work on accuracy approaches. In particular, the paper considers Classification techniques, Filtering techniques, Prediction method, Mining method and Estimation Method. Our results discussed the comparison of improving accuracy and different level of accuracy.

Keywords: Big Data Analytics, Accuracy, K- Means++, CSO, Ranking Approach, Load Balancing Technique;