What is Data mining?
'''Data mining''' is a term from [[computer science]]. Sometimes it is also called '''knowledge discovery in databases''' (KDD). Data mining is about finding new [[information]] in a lot of [[Information|data]].<ref>{{Cite web|date=2022-04-06|title=What is Data Mining? {{!}} Data Basecamp|url=https://databasecamp.de/en/data/data-minings|access-date=2022-06-20|language=en-US}}</ref> The information obtained from data mining is hopefully both new and useful. In many cases, data are stored so they can be used later. The data are saved with a goal. For example, a store wants to save what has been bought. They want to do this to know how much they should buy themselves, to have enough to sell later. Saving this information, makes a lot of data. The data are usually saved in a [[database]]. The reason data are saved is called the first use. Later, the same data can also be used to get other information that was not needed for the first use. The store might want to know now what kind of things people buy together when they buy at the store. (Many people who buy [[pasta]] also buy [[mushroom]]s for example.) That kind of information is in the data, and is useful, but was not the reason the data were saved. This information is new and can be useful. It is a second use for the same data. Finding new information that can also be useful from data is called data mining. == Different kinds of data mining == For data, there are a lot of different kinds of data mining for getting new information. Usually, [[prediction]] is involved. There is [[uncertainty]] in the predicted results. The following is based on the observation that there is a small green [[apple]] in which we can structurally adjust our data. Some kinds of data mining are: * [[pattern-recognition algorithm|Pattern recognition]]: Trying to find similarities in the rows in the database, in the form of rules. Small → green. (Small apples are often green) * Using a [[Bayesian network]]: Trying to make something that can say how the different data attributes