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Forecasting: standard methods

To continue the first post of a series on forecasting, let’s discuss standard methods used for predicting time series. The two firsts methods can be used as benchmark for comparing with more advances models:Mean value: the mean of the time series...

Posted September 17, 2012    

Benefits of Using Data to Make Decisions: Guest Post by Erin Palmer

Today’s guest post is written by Erin Palmer from University Alliance. Thanks Erin for sharing your knowledge in the field of business intelligence and data mining.Benefits of Using Data to Make DecisionsIt has been said that what gets measured gets...

Posted June 11, 2012    

Outlier Detection in Two Review Articles (Part 1)

If you need to read two review articles about outlier detection, the first one is…Outlier Detection: A SurveyThe first one, Outlier Detection: A Survey, is written by Chandola, Banerjee and Kumar. They define outlier detection as the problem of...

Posted May 15, 2012    

Data Mining Interview: Meta Brown

Meta Brown, General Manager of Analytics at LinguaSys, has kindly accepted to answer a few questions for Data Mining Research. I would like to thank Meta for her time and her advices in Analytics.Data Mining Research: Who are you and what is your...

Posted April 30, 2012    

Data Mining Book Review: The Value of Business Analytics

Today’s book review is about The Value of Business Analytics – Identifying The Path to Profitability, from Evan Stubbs. I won’t keep any suspense: the book is excellent! It’s a must have for any person trying to apply analytics within a company...

Posted April 13, 2012    

Data Mining Book Review: Handbook of Statistical Analysis and Data Mining Applications

The book from Robert Nisbet, John Elder and Gary Miner is a fresh addition to any data miner library. First surprise: the book is in full colors with a lot of pictures which is a good point. With a focus on data mining applications, the book also...

Posted March 12, 2012    

Selling Data Mining to Management

Preparing data and building data mining models are two very well documented steps of analytics projects. However, whatever interesting your results are, they are useless if no action is taken. Thus, the step from analytics to action is a crucial one...

Posted February 19, 2012    

Data Mining Guest Post: Eric Greenwood

Today, Eric Greenwood, expert in data storage, is our guest blogger on Data Mining Research. Thanks for his post and feel free to comment about his input. Data Mining, Refining, and Storage As companies are able to more effectively store and...

Posted January 27, 2012    

Data Mining Book Review: Decision Management Systems

I recently read the last book from James Taylor, Decision Management Systems: A Practical Guide to Using Business Rules and Predictive Analytics. As a data miner, I was interested by the subtitle of the book. Although, the book is really well...

Posted January 16, 2012    

Data Sampling for Association Rule Mining

In certain situations, the data miner has to perform sampling on the dataset before applying any algorithm. The main reason being too many data to mine. In such a case, a possible technique is random sampling. If classes are uniformly distributed,...

Posted November 20, 2011    

Data Mining Book Review: Data Mining and Statistics for Decision Making

The French also have their data miners and more particularly their data mining authors. Stéphane Tufféry is one of them.In 2008 he authored the book “Data Mining et Statistique Décisionnelle” which has been translated in English in 2011 (a huge work...

Posted October 31, 2011    

Data Mining Interview: Rob Hyndman

I recently discovered Cross Validated, a Q&A platform for statisticians and data miners. With Seth Rogers, Community Developer of Cross Validated, we have conducted an interview of Rob Hyndman, Professor of Statistics and inventor of the...

Posted October 21, 2011