Databases Flashcards
used to automatically analyze large pools of data (big data) to help us find hidden patterns, infer rules, and predict future behaviour
data mining
types of information from dating mining
associations; sequences; classifications; clusters; forecasts
occurrences linked to a single event; when customers buys chips, theres a 65% chance they will also buy pop
associations
events that are linked over time; when someone buys a house, they will purchase a fridge within 2 weeks
sequences
discover properties and patterns of pre-defined groups; a phone company wants to know more about customers who have left them
classifications
allows us to discover different groupings and their associated properties; identify customer segments so marketing strategies customized
clustering
predict future values using past values; given the past 6 months’ sales data, what can we expect to see for the next 6 months
forecasts