|model in data mining||0.19||0.5||9176||8|
|prediction models in data mining||1.36||0.6||765||49|
|models in data mining||1.37||0.6||9731||49|
|classification models in data mining||1.76||0.8||4987||25|
|model building in data mining||0.05||0.1||626||99|
|model selection in data mining||0.46||0.1||2607||11|
|regression model in data mining||0.89||0.2||7216||65|
The first example of Data Mining and Business Intelligence comes from service providers in the mobile phone and utilities industries. Mobile phone and utilities companies use Data Mining and Business Intelligence to predict ‘churn’, the terms they use for when a customer leaves their company to get their phone/gas/broadband from another provider.What are the different data mining methods?
Basic data mining methods involve four particular types of tasks: classification, clustering, regression, and association. Classification takes the information present and merges it into defined groupings. Clustering removes the defined groupings and allows the data to classify itself by similar items.