Result From Data Mining. Yaitu fungsi descriptive dan fungsi predictive. 5 data mining techniques for optimal results Faulty data mining makes seeking of decisive information akin to finding a needle in a haystack.
Fungsi deskripsi dalam data mining adalah sebuah fungsi untuk memahami lebih jauh tentang data yang diamati. Neither the data collection data preparation nor result interpretation and reporting is part of the data mining step but do belong to the overall KDD process as. In this way process mining extends way beyond classical data mining approaches that do not consider process models at all.
Data mining is the process of finding patterns and trends within large data sets to make decisions or to predict outcomes.
It can be used in a variety of ways such as database marketing credit risk. It can be considered as a natural evaluation of information technology. It is a multi-disciplinary skill that uses machine learning statistics and AI to extract information to evaluate future events probability. Here are some tips to tweak your data mining exercises.