See several jobs on data science and analytics at Job News.

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

•     Introduction to Data Mining with R
•     Association Rule Mining with R
•     Text Mining with R -- an Analysis of Twitter Data
•     Regression and Classification with R
•     Data Clustering with R

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 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".

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.