My book titled R and Data Mining – Examples and Case Studies now has its Chinese version, translated by researchers at South China University of Technology, and published by China Machine Press in September 2014. It is sold in China only, at a price of RMB 49 Yuan. If you are in China, it is an opportunity to get a copy of the book at a bargain price.
I will run a half-day workshop on R and Data Mining at the AusDM 2014 conference in Brisbane, Thursday afternoon, 27 November. At the workshop, I will present a few topics on data mining with R, including
See details and slides of the workshop at http://ausdm14.ausdm.org/workshop.
I will give a seminar at Australian Customs and Border Protection Service on 30 Oct 2014, on association rule mining and classification with R. See seminar slides at Documents.
I will give a talk on R and Data Mining at Twitter in San Francisco, US on Friday 10 October.
I will give a talk on R and Data Mining at Amazon in Seattle on 8 October, based on the RDataMining Slide Series. The topics of the talk include classification, text mining and association rule mining with R.
I will give a keynote talk on Analysing Twitter Data with Text Mining and Social Network Analysis at CONAIS 2014 conference in Mexico in Oct. Prior to the conference, I will also deliver a one-day training on R and data mining at Universidad Juárez Autónoma de Tabasco (UJAT) in Mexico. The slides of the one-day training are available at "Documents" (see RDataMining Slides Series).
Slides on Data Exploration and Visualisation, and Data Import/Export have been completed. They can be found under "Documents".
RDataMining Slides Series: association rules, clustering, text mining, time series analysis, regression and classification
I am making a series of slides on R and data mining, based on my book titled R and Data Mining -- Examples and Case Studies.
The completed slides on association rules, clustering, text mining, time series analysis, regression and classification can be found here. Comments and suggestions are welcome.
More slides will come soon. Keep tuned.
See a list of big data platforms and their Interfaces with R at this page, incl. Hadoop, Spark, H2O, RHadoop, RHIPE and SparkR.
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