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2008 Second International Conference on Future Generation Communication and Networking
Diabetes Data Analysis and Prediction Model Discovery Using RapidMiner
December 13-December 15
ISBN: 978-0-7695-3431-2
| ASCII Text | x | ||
| Jianchao Han, Juan C. Rodriguez, Mohsen Beheshti, "Diabetes Data Analysis and Prediction Model Discovery Using RapidMiner," Future Generation Communication and Networking, vol. 3, pp. 96-99, 2008 Second International Conference on Future Generation Communication and Networking, 2008. | |||
| BibTex | x | ||
| @article{ 10.1109/FGCN.2008.226, author = {Jianchao Han and Juan C. Rodriguez and Mohsen Beheshti}, title = {Diabetes Data Analysis and Prediction Model Discovery Using RapidMiner}, journal ={Future Generation Communication and Networking}, volume = {3}, year = {2008}, isbn = {978-0-7695-3431-2}, pages = {96-99}, doi = {http://doi.ieeecomputersociety.org/10.1109/FGCN.2008.226}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - CONF JO - Future Generation Communication and Networking TI - Diabetes Data Analysis and Prediction Model Discovery Using RapidMiner SN - 978-0-7695-3431-2 SP96 EP99 A1 - Jianchao Han, A1 - Juan C. Rodriguez, A1 - Mohsen Beheshti, PY - 2008 KW - Data mining KW - decision tree KW - diabetes data KW - prediction modeling VL - 3 JA - Future Generation Communication and Networking ER - | |||
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/FGCN.2008.226
Data mining techniques have been extensively applied in bioinformatics to analyze biomedical data. In this paper, we choose the Rapid-I’s RapidMiner as our tool to analyze a Pima Indians Diabetes Data Set, which collects the information of patients with and without developing diabetes. The discussion follows the data mining process. The focus will be on the data preprocessing, including attribute identification and selection, outlier removal, data normalization and numerical discretization, visual data analysis, hidden relationships discovery, and a diabetes prediction model construction.
Index Terms:
Data mining, decision tree, diabetes data, prediction modeling
Citation:
Jianchao Han, Juan C. Rodriguez, Mohsen Beheshti, "Diabetes Data Analysis and Prediction Model Discovery Using RapidMiner," fgcn, vol. 3, pp.96-99, 2008 Second International Conference on Future Generation Communication and Networking, 2008
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