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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...
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...
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...
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...
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...
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...
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,...
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...
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...
How to Use LinkedIn for Data Miners
After the article How to use twitter for data miners, let me propose advice on using LinkedIn.First, you may already know that your LinkedIn account can be linked to display your tweets (see this link). Continue by adding the right keywords in your...
Data Mining to Raise Questions
At first, one can think of data mining as a way to answer questions. This is one manner of using data mining. Below are examples of questions: Which of my customers are most likely to churn next month? Which are the most important parameters...
How to Cheat with Data Mining
Usually data miners don’t cheat. The reason is simple: you cannot cheat with the future. In reality, it’s a bit more complicated. A data miner may be cheating without knowing it. Here are a few examples: First, one may cheat by learning the training...
