Classification is a task in data mining that involves assigning a class label to each instance in a dataset based on its features.
The goal of classification is to build a model that accurately predicts the class labels of new instances based on their features..
Data mining is the process of searching and analyzing a large batch of raw data in order to identify patterns and extract useful information.
Companies use data mining software to learn more about their customers.
It can help them to develop more effective marketing strategies, increase sales, and decrease costs..
Data mining is the process of sorting through large data sets to identify patterns and relationships that can help solve business problems through data analysis.
Data mining techniques and tools enable enterprises to predict future trends and make more-informed business decisions..
Classification is a task in data mining that involves assigning a class label to each instance in a dataset based on its features.
The goal of classification is to build a model that accurately predicts the class labels of new instances based on their features..
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Motivation for data mining Data mining is the procedure of finding useful new correlations, patterns, and trends bysharing through a high amount of data saved in repositories, using pattern recognitiontechnologies including statistical and mathematical techniques
