Volume 13 | Issue 4
Volume 13 | Issue 4
Volume 13 | Issue 4
Volume 13 | Issue 4
Volume 13 | Issue 4
Data mining is a process that involves the use of advanced analytical techniques to discover patterns and relationships in data. It has been widely applied in various fields, including knowledge management, to extract useful information from large data sets and support decision making. Effective knowledge management is critical for organizations to stay competitive and achieve their goals. It involves the creation, capture, sharing, and use of knowledge within an organization. Data mining can play a significant role in supporting effective knowledge management by enabling organizations to discover hidden knowledge and relationships in their data and use it to inform their decision making. Data mining is the application of statistical analysis, data visualization, and database management to discover patterns in large data sets involving human behavior and activities. Data mining can be used for many purposes, including the identification of fraudulent transactions in a credit card processing system or the recognition of abnormal cell growths in breast cancer screening. In addition to helping businesses improve their operations, data mining is also useful in scientific research applications; for example, a researcher might use data mining to identify genes that correlate with certain diseases.