similar to: Call for contribution: the RDataMining package - an R package for data mining

Hi All I came across a problem below when doing stemming and stem completion with package tm in R. Word "mining" was stemmed to "mine" with stemDocument(), and then completed to "miners"with stemCompletion(). However, I prefer to keep "mining" intact. For stemCompletion(), the default type of completion is "prevalent", which takes the most

Hi Slides of my talk on Time Series Analysis and Mining with R at Canberra R Users Group on 18 July are available at http://www.rdatamining.com/docs. It presents time series decomposition, forecasting, clustering and classification with R code examples. Regards -- Yanchang Zhao PhD, Data Miner Email: yanchang at rdatamining.com RDataMining: http://www.rdatamining.com Group:

i m searching on net,material related to R, whenever i get ppt presentation of some topic ,i found it in speical format white backgroud & blue bars,having links for further topics see link 1) https://www.rmetrics.org/files/Meielisalp2007/Presentations/Pfaff.pdf 2)http://grapevine.com.au/~yanchang/docs/Time-Series-Mining-slides.pdf If this is format,how can i made it,if i want to give my R

I've tried to re-experiment the tutorial presented at http://www.rdatamining.com/docs/twitter-analysis-with-r and specifically aimed to use rds files (tweet records) at http://www.rdatamining.com/data/. On Sun, Apr 22, 2018 at 9:16 PM, Jeff Newmiller <jdnewmil at dcn.davis.ca.us> wrote: > Wouldn't the obvious problem be that your data file is corrupted or was > never created

Hello, I got a strange result when I used alias analysis DSAA, can you tell what is wrong? 1. The following is the primary body of my pass "fps.cpp": AliasAnalysis *AA = &getAnalysis<AliasAnalysis>(); AliasSetTracker AST(*AA); for (Module::iterator fi = M.begin(), fe = M.end(); fi != fe; ++fi ) for (Function::iterator bi = fi->begin(), be = fi->end(); bi

Dear R-user, Could anybody tell me of the key difference between data mining and text mining? Please make a list for packages about data/text mining. And give me an example of text mining with R (any relating materials will be highly appreciated), because a vignette written by Ingo Feinerer seems too concise for me. Thanks _____________________________________________ Dr.Ruixin ZHU Shanghai

Salford Data Mining Conference August 23rd - 25th, 2009 San Diego, California Early-Bird Registration Deadline: July 24th, 2009 http://SalfordDataMining.com/agenda.php Post-Conference Training August 26th - 28th, 2009 Our conference will offer prominent keynote speakers and informative real world application solutions. Conference topics include: * What Data Mining Has to Say About the

Apologies for cross posting.... ----------------------------------------------------------------------------- Salford Systems Data Mining 2005 Second International Data Mining Conferences Focusing on the Contributions of Data Mining to Solving Real World Challenges Honoring the Real-World Experiences of Data Mining Visionaries Leo

Our CEO, Dr. Dan Steinberg, is planning to visit Germany in September. He would like the opportunity to introduce statisticians (and statistically minded people) to data mining, data mining applications and to forefront data mining tools. Our algorithms are probably familiar to many statisticians (CART, MARS and MART), although it isn't necessary to be a statistician to use our tools. We

Last chance to register for Sydney, Australia Data Mining Training and Workshop. Training: June 5-7, 2006 Workshop: June 8, 2006 Register for 1, 2, 3 or 4 days. Location: Australian Graduate School of Management, Lecture Theatre Number 1 O'Connell Street Sydney, Australia Objective: The training and workshop are aimed at bringing together researchers and practitioners to learn about data

Hi, My problem maybe a little bit complicated, so forgive me if the following words are too much. #date set a0<-matrix(c(1.1,1.3,1.1,1.3,1.3, 2.0,1.8,2.0,1.8,1.8, "12/01/2008","05/20/2007","12/06/2008","05/10/2007","05/06/2007", "N","N","A","C","A", 1,2,3,4,5),ncol=5,byrow=FALSE)

Dear R Users I am looking at carrying out Multivariate Supervised Discretization on a set of continuous attributes to determine cut off values on each attribute which would allow best explanation of a binary outcome variable. I understand that there is an algorithm for doing this (The HyperCluster Finder Algorithm from the paper -Muhlenbach F., & Rakotomalala R. (2002). Multivariate

Apologies for cross posting CART Data Mining 2004, San Francisco, March 22-24, 2004 Below are links for the registration and the latest scheduling information. Please note that you can register with an early-bird discount if you register NOW and write the words "SCHEDULE" on your registration form. Homepage: http://www.cartdatamining.com Detailed Conference Schedule:

http://decisionstats.com/2008/ohri/ Some time back, I had created a framework for data mining through on demand cloud computing. This is the next version- it is free to use for all, with only authorship credit back to me………….. NOTE - i DO retain authorship credit rights (even though it is a GPL framework) for free to anyone to use commercially It tries to do away with fixed server ,desktop

Apologies for cross posting.... Early-Bird Registration Discount Deadline Just a quick reminder. If you are interested in attending CART Data Mining 2004 (San Francisco), the EARLY-BIRD discounted registration deadline is January 30th, 2004. Registration materials are available at: http://www.cartdatamining.com/RegCART04.pdf Other deadlines: Paper Submission: January 12th Student Contest:

Hi Thomas, see these papers or books (some are available on the web): Diego Kuonen, Introduction au data mining avec R : vers la reconqu??te du `knowledge discovery in databases' par les statisticiens. Bulletin of the Swiss Statistical Society, 40:3-7, 2001. Consultabile all??indirizzo web: http://www.statoo.com/en/publications/2001.R.SSS.40/ Diego Kuonen and Reinhard Furrer, Data mining

DATA MINING 2006 CONFERENCE sponsored by Salford Systems San Diego, California: March 30 - March 31, 2006 (with a Welcome Reception on March 29th at 6PM) Two Full Days of Real-World Case Study Presentations Schedule: www.salforddatamining.com/docs/schedule06.pdf <http://www.salforddatamining.com/docs/schedule06.pdf> *Conference Highlights:* * State-of-the-Art Research from Leading

Insightful AG and Seminar for Statistics of ETH Z?rich present: Statistical Data Mining by PROF. BRIAN D. RIPLEY click here for all details: http://www.insightful.com/services/training/datamining_by_Ripley.asp *Zuerich April 3/4* Data Mining has become popular in science, engineering and in traditionally data-rich industries such as banking, insurance and market research. There are emerging

Dear Madame / Sir, European Courses in Advanced Statistics (ECAS) is a programme supported by the main Statistical European Societies. The ECAS are intended to achieve postgraduate training in special areas of statistics for both researchers and teachers at universities. Also professionals, who work in industry and are interested in the application of new statistical methods, are invited

Short course: Statistical Learning and Data Mining Trevor Hastie and Robert Tibshirani, Stanford University Georgetown University Conference Center Washington DC September 20-21, 2004 This two-day course gives a detailed overview of statistical models for data mining, inference and prediction. With the rapid developments in internet technology, genomics and other high-tech industries, we