Fichas
A2 IT Data mining
Fichas del conjunto (9)
- 1Data miningThe act of sorting through large sets of data to identify patterns and establish relationships. This is done by applying theory to future sets of data in order to try to validate changes occuring
- 2Goal of data miningTo extract information from sets of data that can be used to identify and predict future decisions, by analyzing past and present trends, and predict changes.
- 3Why data mining is important for businessesData mining and predicting future changes can help a business be in the right place at the right time
- 4Different ways of analyzing in data miningAnomaly decision
Association rule
Cluster detection
Classification
Regression - 5Anomaly decisionIdentifying unusual data that may require further investigation
- 6Association ruleFinding relationships between variables. This is how recommendation services work for shopping sites
- 7Cluster detectionIdentifying groups and subgroups in data
- 8ClassificationClassifying data into existing groups or categories. This is how the spam filter in email works
- 9RegressionCreating predictive models based on a range of variables
Información
- Descripción
- AS level IT Fichas sobre A2 IT Data mining, creado por Sean Byrne el 15/09/2017.
- Creado por
- Sean Byrne · sep 2017
- Actualizado
- 15 sep 2017
- Visitas
- 4
- Valoración