Rapidminer http://rapid‐i.com/ Open‐Source Data Mining with the Java Software RapidMiner “RapidMiner is the world‐wide leading open‐source data mining solution due to the combination of its leading‐edge technologies and its functional range. Applications of RapidMiner cover a wide range of real‐world data mining tasks.” 1
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Rapidminer - paginas.fe.up.ptpaginas.fe.up.pt/~ec/files_1112/lab05-lab.pdf · Rapidminer ‐i.com/ Open‐Source Data Mining with the Java Software RapidMiner “RapidMiner is the
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Rapidminer
http://rapid‐i.com/ Open‐Source Data Mining with the Java Software RapidMiner “RapidMiner is the world‐wide leading open‐source data
mining solution due to the combination of its leading‐edge technologies and its functional range. Applications of RapidMiner cover a wide range of real‐world data mining tasks.”
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lab 05‐risk.xls
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We use k‐medoids because k‐means only works with numerical attributes.
Data Mining: Concepts and Techniques, Jiawei Han, Micheline Kamber (Morgan Kaufmann ‐ 2000)
Data Mining: Introductory and Advanced Topics, Margaret Dunham (Prentice Hall, 2002)
A Tutorial on Clustering Algorithms http://home.dei.polimi.it/matteucc/Clustering/tutorial_html/index.html
Clustering Web Search Results, Iwona Białynicka‐Birula, http://www.di.unipi.it/~iwona/Clustering.ppt
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Solutions nearly always come from the direction you least expect, which means there's no point in trying to look in that direction because it wont be coming from there.