Data mining can be used in system-level designing to extract the relationships between product architecture product portfolio and customer needs data. It can also be used to predict the product .
Data mining is widely used by organizations in building a marketing strategy by hospitals for diagnostic tools by eCommerce for cross-selling products through websites and many other ways. Some of the data mining examples are given below for your reference. What You Will Learn: [ hide] Examples Of Data Mining In Real Life
Data mining is the process of analyzing a large batch of information to discern trends and patterns. Data mining can be used by corporations for everything from learning about what customers are.
Data mining is the process of gathering information and analyzing it for actionable patterns which can then be used to develop marketing strategies new products that fit customers’ wants and needs and cost-saving strategies. Data mining can even ferret out fraud and error-based losses.
As mentioned above data mining techniques are used to generate descriptions and predictions about a target data set. Data scientists describe data through their observations of patterns associations and correlations.
Data mining is the process of uncovering patterns and finding anomalies and relationships in large datasets that can be used to make predictions about future trends. The main purpose of data mining is extracting valuable information from available data.