Statistical data mining
Publication
, Journal Article
Banks, DL
Published in: Wiley Interdisciplinary Reviews: Computational Statistics
February 1, 2010
Data mining is widely used in modern science to extract signal from complex data sets. This article summarizes some of the key intellectual issues in the development of this field, largely from a historical perspective. There is particular emphasis on the Curse of Dimensionality, and its implications for non-parametric regression, classification, and cluster analysis. © 2009 John Wiley & Sons, Inc.
Duke Scholars
Published In
Wiley Interdisciplinary Reviews: Computational Statistics
DOI
EISSN
1939-0068
ISSN
1939-5108
Publication Date
February 1, 2010
Volume
2
Issue
1
Start / End Page
9 / 25
Related Subject Headings
- 4905 Statistics
- 4605 Data management and data science
- 0802 Computation Theory and Mathematics
- 0104 Statistics
- 0102 Applied Mathematics
Citation
APA
Chicago
ICMJE
MLA
NLM
Banks, D. L. (2010). Statistical data mining. Wiley Interdisciplinary Reviews: Computational Statistics, 2(1), 9–25. https://doi.org/10.1002/wics.53
Banks, D. L. “Statistical data mining.” Wiley Interdisciplinary Reviews: Computational Statistics 2, no. 1 (February 1, 2010): 9–25. https://doi.org/10.1002/wics.53.
Banks DL. Statistical data mining. Wiley Interdisciplinary Reviews: Computational Statistics. 2010 Feb 1;2(1):9–25.
Banks, D. L. “Statistical data mining.” Wiley Interdisciplinary Reviews: Computational Statistics, vol. 2, no. 1, Feb. 2010, pp. 9–25. Scopus, doi:10.1002/wics.53.
Banks DL. Statistical data mining. Wiley Interdisciplinary Reviews: Computational Statistics. 2010 Feb 1;2(1):9–25.
Published In
Wiley Interdisciplinary Reviews: Computational Statistics
DOI
EISSN
1939-0068
ISSN
1939-5108
Publication Date
February 1, 2010
Volume
2
Issue
1
Start / End Page
9 / 25
Related Subject Headings
- 4905 Statistics
- 4605 Data management and data science
- 0802 Computation Theory and Mathematics
- 0104 Statistics
- 0102 Applied Mathematics