16 Facts About Data mining

Data mining is the process of extracting and discovering patterns in large data sets involving methods at the intersection of machine learning, statistics, and database systems.

Data mining is an interdisciplinary subfield of computer science and statistics with an overall goal of extracting information from a data set and transforming the information into a comprehensible structure for further use.

Data mining is the analysis step of the "knowledge discovery in databases" process, or KDD.

Actual data mining task is the semi-automatic or automatic analysis of large quantities of data to extract previously unknown, interesting patterns such as groups of data records, unusual records (anomaly detection), and dependencies (association rule mining, sequential pattern mining).

In contrast, data mining uses machine learning and statistical models to uncover clandestine or hidden patterns in a large volume of data.

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Term data mining appeared around 1990 in the database community, with generally positive connotations.

However, the term data mining became more popular in the business and press communities.

Data mining is the process of applying these methods with the intention of uncovering hidden patterns.

Data mining cleaning removes the observations containing noise and those with missing data.

For example, a data mining algorithm trying to distinguish "spam" from "legitimate" e-mails would be trained on a training set of sample e-mails.

Data mining is used wherever there is digital data available today.

Notable examples of data mining can be found throughout business, medicine, science, and surveillance.

Ways in which data mining can be used can in some cases and contexts raise questions regarding privacy, legality, and ethics.

Data mining requires data preparation which uncovers information or patterns which compromise confidentiality and privacy obligations.

Data mining aggregation involves combining data together in a way that facilitates analysis (but that might make identification of private, individual-level data deducible or otherwise apparent).

Since 2020 Switzerland has been regulating data mining by allowing it in the research field under certain conditions laid down by art.