Data Mining
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Data Mining refers to the application of algorithms for extracting patterns from data without the additional steps of the KDD process.
[De Martino et al., 2002]
The term data mining has mostly been used by statisticians, data analysts, and the management information systems (MIS) communities.
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Data mining is the application of specific algorithms for extracting patterns from data.
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Data mining is a step in the KDD process that consists of applying data analysis and discovery algorithms that produce a particular enumeration of patterns (or models) over the data.
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Data mining is a step in the KDD process that consists of applying data analysis and discovery algorithms that, under acceptable computational efficiency limitations, produce a particular enumeration of patterns (or models) over the data.
[...]
Data mining is the application of specific algorithms for extracting patterns from data.
[...]
Data mining is a step in the KDD process that consists of applying data analysis and discovery algorithms that produce a particular enumeration of patterns (or models) over the data.
[...]
Data mining is a step in the KDD process that consists of applying data analysis and discovery algorithms that, under acceptable computational efficiency limitations, produce a particular enumeration of patterns (or models) over the data.
[Fayyad et al., 1996]
External Links
Visualization in Data Mining Presentation slides by Anita Wasilewska
References
- [De Martino et al., 2002] M. De Martino, A. Bertone, R. Albertoni, H. Hauska, U. Demsar, M. Dunkars. Technical Report of Data Mining, INVISIP IST-2000-29640, Information Visualisation for Site Planning, WP No2: Technology Analysis, D2.2, 28.2.2002
- [Fayyad et al., 1996] U. Fayyad, G. P.-Shapiro, and P. Smyth. From data mining to knowledge discovery in databases. AI Magazine, 17(3):37-54, Fall 1996. http://citeseer.ist.psu.edu/fayyad96from.html