Transcription of R and Data Mining: Examples and Case Studies
{{id}} {{{paragraph}}}
Example: biology
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.
detection, association rules, sequence analysis, time series analysis and text mining, and also some new techniques such as social network analysis and sentiment analysis. Detailed introduction of data mining techniques can be found in text books on data mining [Han and Kamber, 2000,Hand et al., 2001, Witten and Frank, 2005].
Tags:
Information
Domain:
Source:
Link to this page:
Please notify us if you found a problem with this document: