首页|Reports Summarize Machine Learning Research from Maharashtra (Customer churn pre diction in telecom sector using machine learning techniques)
Reports Summarize Machine Learning Research from Maharashtra (Customer churn pre diction in telecom sector using machine learning techniques)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators publish new report on ar tificial intelligence. According to news reporting out of Maharashtra, India, by NewsRx editors, research stated, "In the telecom industry, large-scale of data is generated on daily basis by an enormous amount of customer base." The news reporters obtained a quote from the research from Department of Compute r Engineering: "Here, getting a new customer base is costlier than holding the c urrent customers where churn is the process of customers switching from one firm to another in a given stipulated time. Telecom management and analysts are find ing the explanations behind customers leaving subscriptions and behavior activit ies of the holding churn customers' data. This system uses classification techni ques to find out the leave subscriptions and collects the reasons behind the lea ve subscription of customers in the telecom industry. The major goal of this sys tem is to analyze the diversified machine learning algorithms which are required to develop customer churn prediction models and identify churn reasons in order to give them with retention strategies and plans. In this system, leave subscri ptions collects customers' data by applying classification algorithms such as Ra ndom Forest (RF), machine learning techniques such as KNN and decision tree Clas sifier. It offers an efficient business model that analyzes customer churn data and gives accurate predictions of churn customers so that business management ma y take action within the churn period to stop churn as well as loss in profit."
Department of Computer EngineeringMaha rashtraIndiaAsiaCyborgsEmerging TechnologiesMachine Learning
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