Blog Archives

2nd round of call for chapter proposals for book Data Mining Applications with R: due by 31 May

May 2, 2012
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2nd round of call for chapter proposals for book Data Mining Applications with R: due by 31 May

2nd CALL FOR CHAPTERS: proposals due by 31 May 2012 Data Mining Applications with R A book to be published by Elsevier http://www.RDataMining.com/books/book2 Introduction —————— R is one of the most widely used data mining tools in scientific and business … Continue reading →

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R Tips: lots of tips for R programming

April 26, 2012
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R Tips: lots of tips for R programming

by Yanchang Zhao, RDataMining.com There are more than 100 R tips at http://pj.freefaculty.org/R/Rtips.html, which provide quick examples to small challenges in everyday R programming, especially for users switching from other languages to R. There is also a .PDF version for … Continue reading →

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Obama administration unveiled a Big Data Research and Development Initiative with $200 million

April 4, 2012
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Obama administration unveiled a Big Data Research and Development Initiative with $200 million

Yanchang Zhao, RDataMining.com Obama administration unveiled a Big Data Research and Development Initiative with $200 million on March 29, 2012, to improve the ability to extract knowledge and insights from large and complex collections of digital data. Six Federal departments … Continue reading →

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Social Network Analysis with R

March 27, 2012
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Social Network Analysis with R

By Yanchang Zhao, RDataMining.com If you have tried social network analysis or graph mining with R, you might have already come across package igraph before. The package is designed for graphs and network analysis in R. It can handle large … Continue reading →

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Call for chapters: Data Mining Applications with R

March 15, 2012
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Call for chapters: Data Mining Applications with R

Data Mining Applications with R A book to be published by Elsevier http://www.RDataMining.com/books/book2 Proposal Submission Deadline: April 30, 2012 Introduction R is one of the most widely used data mining tools in scientific and business applications, among dozens of commercial … Continue reading →

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Experience on using R to build prediction models in business applications

March 8, 2012
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Experience on using R to build prediction models in business applications

By Yanchang zhao, RDataMining.com Building prediction/classification models is one of the most widely-seen data mining tasks in business applications. To share experience on building prediction models with R, I have started a discussion at RDataMining group on LinkedIn with the … Continue reading →

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A prize of US$3,000,000 for a data mining competition to improve healthcare

December 13, 2011
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A prize of US$3,000,000 for a data mining competition to improve healthcare

There is a data mining competition with a prize of $3,000,000. The target is to improve healthcare in US by identifying patients who will be admitted to a hospital within the next year, using historical claims data. The algorithm to … Continue reading →

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Statistics with R – Lots of R Examples

December 8, 2011
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Statistics with R – Lots of R Examples

“Statistics with R” is a great R graphics & stats website. It provides lots of R examples, covering many analytics topics. It is also available as a PDF document to download at the website, as well as the R codes. … Continue reading →

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A nice short article on memory in R

November 28, 2011
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A nice short article on memory in R

There is a nice short article on memory issue in R at http://www.matthewckeller.com/html/memory.html. If you use R to process large data, you might find it helpful. It introduces: - checking how much memory an object is taking; - the memory … Continue reading →

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Using Text Mining to Find Out What @RDataMining Tweets are About

November 8, 2011
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Using Text Mining to Find Out What @RDataMining Tweets are About

This post shows an example on text mining of Twitter data with R packages twitteR, tm and wordcloud. Package twitteR provides access to Twitter data, tm provides functions for text mining, and wordcloud visualizes the result with a word cloud. … Continue reading →

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