Transcription of R and Data Mining: Examples and Case Studies
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R and Data Mining: Examples and Case Studies
R and Data Mining: Examples and Case Studies1 Yanchang 20, 20151c 2012-2015 Yanchang Zhao. Published by Elsevier in December 2012. All rights from the AuthorCase Studies :The case Studies are not included in this online version. They are reserved exclu-sively for a book version published by Elsevier in December version:The latest online version is available at links below. See the websites also for anR Reference Card for Data Mining. (for readers having no access to above website)R code, data and FAQs:R code, data and FAQs are provided at links below. to add:topic modelling and stream graph; spatial data analysis; perfor-mance evaluation of classification/prediction models (with ROC and AUC); parallel computingand big data. Please let me know if some topics are interesting to you but not covered yet by and feedback:If you have any questions or comments, or come across any problemswith this document or its book version, please feel free to post them tothe RDataMining groupbelow or email them to me.
task views for data mining. At last, some datasets used in this book are described. 1.1 Data Mining Data mining is the process to discover interesting knowledge from large amounts of data [Han and Kamber, 2000]. It is an interdisciplinary eld with contributions from many areas, such as
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