“data mining”的概念、定义、翻译、参考文献-科学参考

data mining

Statistics

The exploration of a large set of data with the aim of uncovering relationships between variables.

Computer

The nontrivial explication or extraction of information from data, in which the information is implicit and previously unknown; an example is identification of the pattern of use of a credit card to detect possible fraud. The data is normally accessed from one or more databases, so the technique is also known as knowledge discovery in databases (KDD). It involves a number of different methods from artificial intelligence such as neural networks and machine induction, together with statistical methods such as cluster analysis and data summarization.

Internet

The process of extracting useful information from a disparate collection of databases, files, and other sources such as Web pages. Data mining software sometimes uses some artificial intelligence technology and quite a lot of statistical theory.

Geography

A process of extracting information from a data set in order to transform it into an understandable structure. Multivariate statistical methods include multiple linear regression, principal component analysis, cluster analysis, and the parallel coordinate method; see Sun and Wang (2011) IEEE International Conference DOI: 10.1109/ICSDM.2011.5969006.

Economics

Extraction of useful information from large data sets. Data mining is not the same as data analysis: data analysis is focused on estimation and assessment of an existing model, while data mining attempts to extract implicit information by using ‘automated’ software techniques for finding patterns and regularities, as well as detecting anomalies, in sets of data. This is sometimes referred to as ‘knowledge discovery’. See also automated econometrics.

单词	data mining
释义	data mining Statistics The exploration of a large set of data with the aim of uncovering relationships between variables. Computer The nontrivial explication or extraction of information from data, in which the information is implicit and previously unknown; an example is identification of the pattern of use of a credit card to detect possible fraud. The data is normally accessed from one or more databases, so the technique is also known as knowledge discovery in databases (KDD). It involves a number of different methods from artificial intelligence such as neural networks and machine induction, together with statistical methods such as cluster analysis and data summarization. Internet The process of extracting useful information from a disparate collection of databases, files, and other sources such as Web pages. Data mining software sometimes uses some artificial intelligence technology and quite a lot of statistical theory. Geography A process of extracting information from a data set in order to transform it into an understandable structure. Multivariate statistical methods include multiple linear regression, principal component analysis, cluster analysis, and the parallel coordinate method; see Sun and Wang (2011) IEEE International Conference DOI: 10.1109/ICSDM.2011.5969006. Economics Extraction of useful information from large data sets. Data mining is not the same as data analysis: data analysis is focused on estimation and assessment of an existing model, while data mining attempts to extract implicit information by using ‘automated’ software techniques for finding patterns and regularities, as well as detecting anomalies, in sets of data. This is sometimes referred to as ‘knowledge discovery’. See also automated econometrics.
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