Customer Churn Prediction using Association Rule Mining ijtsrd
Customer churn is one of the most important metrics for a growing business to evaluate. It is a business term used to describe the loss of clients or customers. In the retail sales and marketing company, customers have multiple choices of services and they frequently switch from one service to another. In these competitive markets, […]
Market Basket Analysis using Apriori Algorithm in R Language IJTSRD
Market Basket Analysis is a data processing technique that is used in the discovery of relations among various items. The main purpose of market basket analysis in retail is to provide information to the distributor to know the buying behaviour of a customer, which can help the distributor in creating the right selections. There are […]
Prediction of Coronary Artery Disease Using Text Mining IJTSRD
One of the commonly occurring diseases across the world is heart disease. About 60 percent of the total population gets affected by the heart disease. Among the several kinds of heart disease, coronary heart disease is dealt in this paper. The healthcare trade gathers enormous amounts of healthcare files which, regrettably, are not mined to […]
Privacy Preserving Approaches for High Dimensional Data IJTSRD
This paper proposes a model for hiding sensitive association rules for Privacy preserving in high dimensional data. Privacy preservation is a big challenge in data mining. The protection of sensitive information becomes a critical issue when releasing data to outside parties. Association rule mining could be very useful in such situations. It could be used […]