A typical example of a necessity of data filtering (data mining) is in healthcare since in the next years is due to have EHRs (Electronic Health Records) of patients available. With so much information available, the doctors will need to be able to identify patterns and select important data for the diagnosis of the patient.[13] On the other hand, according to some experts, having so much public data available makes it difficult to provide data that is actually anonymous.[2] Another point to take into account is the legal and ethical guidelines, which relates to who will be the owner of the data and how frequently he/she is obliged to the release this and for how long.[13] With so many sources of data, another problem will be accuracy of such.