Posts Tagged ‘ data mining ’

Call for participation: AusDM 2014, Brisbane, 27-28 November

October 25, 2014
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Call for participation: AusDM 2014, Brisbane, 27-28 November

********************************************************* 12th Australasian Data Mining Conference (AusDM 2014) Brisbane, Australia 27-28 November 2014 http://ausdm14.ausdm.org/ ********************************************************* The Australasian Data Mining Conference has established itself as the premier Australasian meeting for both practitioners and researchers in data mining. Since AusDM’02 the conference … Continue reading →

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My visits and RDataMining talks in North America

October 11, 2014
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My visits and RDataMining talks in North America

  I visited Mexico recently and is now travelling in US. In the 1st week of October, I delivered a keynote talk at the CONAIS 2014 conference in Mexico, as well as a one-day workshop on data mining with R … Continue reading →

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Data Mining versus (?) Data Science

September 16, 2014
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Two of my favorite answers are:"A data scientist is a statistician who lives in San Francisco""A data scientist is someone who is better at statistics than any software engineer and better at software engineering than any statistician."(These have both...

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RDataMining Slides Series

September 14, 2014
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RDataMining Slides Series

by Yanchang Zhao, RDataMining.com I have made a series of slides on R and data mining, based on my book titled R and Data Mining — Examples and Case Studies. The slides will be used at my presentations at seminars … Continue reading →

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R: k-Means Clustering on an Image

September 12, 2014
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R: k-Means Clustering on an Image

Enough with the theory we recently published, let's take a break and have fun on the application of Statistics used in Data Mining and Machine Learning, the k-Means Clustering.k-means clustering is a method of vector quantization, originally from signa...

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Slides of 12 tutorials at ACM SIGKDD 2014

September 7, 2014
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Slides of 12 tutorials at ACM SIGKDD 2014

Slides of 12 tutorials taught by data science experts and thought leaders at ACM SIGKDD 2014 are provided at http://www.kdd.org/kdd2014/tutorials.html. Below is a list of them. 1.Scaling Up Deep Learning Yoshua Bengio 2. Constructing and mining web-scale knowledge graphs Antoine … Continue reading →

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RDataMining group having 6000 members today

July 5, 2014
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RDataMining group having 6000 members today

RDataMining Group: http://group.rdatamining.com Twitter: @RDataMining Website: http://www.RDataMining.com The RDataMining group has 6000 members today, 5 July 2014. Created in August 2011, this group has developed into a big community with 6000 member within three years. Since its creation, many members … Continue reading →

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Currency Exchange Rate Forecasting with ARIMA and STL

July 3, 2014
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Currency Exchange Rate Forecasting with ARIMA and STL

I have made an example of time series forecasting with R, demonstrating currency exchange rate forecasting with the ARIMA and STL models. The example is easy to understand and follow. R source files are provided to run the example. The … Continue reading →

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Machine Learning and Applied Statistics Lesson of the Day – How to Construct Receiver Operating Characteristic Curves

Machine Learning and Applied Statistics Lesson of the Day – How to Construct Receiver Operating Characteristic Curves

A receiver operating characteristic (ROC) curve is a 2-dimensional plot of the (the true positive rate) versus (1 minus the true negative rate) of a binary classifier while varying its discrimination threshold.  In statistics and machine learning, a basic and popular tool for binary classification is logistic regression, and an ROC curve is a useful way to assess the predictive accuracy […]

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A Sequence of 9 Courses on Data Science Starts on Coursera on 2 June and 7 July 2014

May 26, 2014
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A Sequence of 9 Courses on Data Science Starts on Coursera on 2 June and 7 July 2014

A sequence of 9 courses on Data Science will start on Coursera on 2 June and 7 July 2014, to be lectured by(Associate/Assistant) Professors of Johns Hopkins University. The courses are designed for students to learn to become Data Scientists … Continue reading →

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