Vertical Database Design for Scalable Data Mining

Vertical Database Design for Scalable Data Mining

William Perrizo, Qiang Ding, Masum Serazi, Taufik Abidin, Baoying Wang
Copyright: © 2005 |Pages: 4
ISBN13: 9781591405603|ISBN10: 1591405602|EISBN13: 9781591407959
DOI: 10.4018/978-1-59140-560-3.ch120
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MLA

Perrizo, William, et al. "Vertical Database Design for Scalable Data Mining." Encyclopedia of Database Technologies and Applications, edited by Laura C. Rivero, et al., IGI Global, 2005, pp. 736-739. https://doi.org/10.4018/978-1-59140-560-3.ch120

APA

Perrizo, W., Ding, Q., Serazi, M., Abidin, T., & Wang, B. (2005). Vertical Database Design for Scalable Data Mining. In L. Rivero, J. Doorn, & V. Ferraggine (Eds.), Encyclopedia of Database Technologies and Applications (pp. 736-739). IGI Global. https://doi.org/10.4018/978-1-59140-560-3.ch120

Chicago

Perrizo, William, et al. "Vertical Database Design for Scalable Data Mining." In Encyclopedia of Database Technologies and Applications, edited by Laura C. Rivero, Jorge Horacio Doorn, and Viviana E. Ferraggine, 736-739. Hershey, PA: IGI Global, 2005. https://doi.org/10.4018/978-1-59140-560-3.ch120

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Abstract

For several decades and especially with the preeminence of relational database systems, data is almost always formed into horizontal record structures and then processed vertically (vertical scans of files of horizontal records). This makes good sense when the requested result is a set of horizontal records. In knowledge discovery and data mining, however, researchers are typically interested in collective properties or predictions that can be expressed very briefly. Therefore, the approaches for scan-based processing of horizontal records are known to be inadequate for data mining in very large data repositories (Han & Kamber, 2001; Han, Pei, & Yin, 2000; Shafer, Agrawal, & Mehta, 1996).

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