Data mining techniques and telecommunications companies Information technology essay
Data mining is applied in the telecommunications sector. multiple purposes. Data mining can be used in the following ways: A. Churn prediction: Prediction of customers at risk of churn. Emerging scientific applications in data mining. Communication from the ACM. v. 54-58. Google Scholar Han and Kamber, 2006. Data mining concepts and techniques. Morgan Kaufman, New York. Google Scholar Hastie et al. 2009. The elements of statistical learning: data mining, inference, and prediction. Springer, New, The highest priority in this process is its identification. customers who are sensitive to change. As for the mobile telecommunications industry, the data was built up earlier. churn prediction models. This paper introduces an approach to anomaly-based intrusion detection, which searches system activity data for deviations from pre-described profiles of normal activity. The normal system activity in the proposed methodology is described using data mining techniques, namely classification trees. The intrusion detection is: Data mining DM aims to analyze large amounts of data. collect valuable information. In many areas such as. telecommunications, the prediction of customer churn is presented as a. critical problem ANALYSIS OF DATA MINING TECHNIQUES OF TELECOMMUNICATIONS COMPANIES IN NIGERIA: A CASE STUDY OF MTN NIGERIA. CHAPTER ONE. TO THE RESEARCH The telecommunications industry generates and stores a huge amount of data Han et al, 2002. This data, Data Mining Algorithms and Techniques. Various algorithms and techniques such as classification, clustering, regression, artificial. Intelligence, neural networks, association rules, decision trees. Data mining is applied in the telecommunications sector. multiple purposes. Data mining can be used in the following ways: A. Churn prediction: Prediction of customers at risk of churn. If you are a student or professional looking to write an essay on data mining, here are topic ideas and examples to get you started. The importance of data mining in today's business world. Ethical considerations in data mining. The impact of data mining on privacy. Algorithms and techniques for data mining. Various algorithms and techniques such as classification, clustering, regression, artificial. Intelligence, neural networks, association rules, decision trees. Essay on Information Technology: Information technology is the study of computer systems and telecommunications for storing, retrieving, and transmitting information over the Internet. Today we rely on information technology to collect and transfer data from and on the Internet. Say goodbye to the conventional lifestyle and...,