Top 10 algorithms in data mining-Reference-Cited by-同舟云学术

Top 10 algorithms in data mining

Published:2007-12-04 Issue:1 Volume:14 Page:1-37
ISSN:0219-1377
Container-title:Knowledge and Information Systems
language:en
Short-container-title:Knowl Inf Syst

Author:

Wu Xindong,Kumar Vipin,Ross Quinlan J.,Ghosh Joydeep,Yang Qiang,Motoda Hiroshi,McLachlan Geoffrey J.,Ng Angus,Liu Bing,Yu Philip S.,Zhou Zhi-Hua,Steinbach Michael,Hand David J.,Steinberg Dan

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Hardware and Architecture,Human-Computer Interaction,Information Systems,Software

Link

http://link.springer.com/content/pdf/10.1007/s10115-007-0114-2.pdf

Reference92 articles.

1. Agrawal R, Srikant R (1994) Fast algorithms for mining association rules. In: Proceedings of the 20th VLDB conference, pp 487–499

2. Ahmed S, Coenen F and Leng PH (2006). Tree-based partitioning of date for association rule mining. Knowl Inf Syst 10(3): 315–331

3. Banerjee A, Merugu S, Dhillon I and Ghosh J (2005). Clustering with Bregman divergences. J Mach Learn Res 6: 1705–1749

4. Bezdek JC, Chuah SK, Leep D (1986) Generalized k-nearest neighbor rules. Fuzzy Sets Syst 18(3):237–256. http://dx.doi.org/10.1016/0165-0114(86)90004-7

5. Bloch DA, Olshen RA and Walker MG (2002). Risk estimation for classification trees. J Comput Graph Stat 11: 263–288

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