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Data Mining Book Review: Business intelligence success factors
I will be clear from the beginning: this book is not about business intelligence. At least not the way most people understand BI. You will not read words such as data bases, data warehouse or data mart. That being said, we can start the review....
Automating Analytics
Information Management has recently published an interesting article about automating analytics. Written by Bill Franks and Scott VanValkenburgh, it explains when automating analytics work and when it doesn’t. I think automating data mining is in...
Auto-correlation for time series analysis
Recently, I was reading the EPFL magazine and was surprised to see an article where they interviewed my master thesis adviser, Francois Fleuret. He explained data mining and gave an example about our project. The goal of my master project was to...
Data Mining: A new weapon in the fight against Medicaid fraud
On Friday July 16, US Attorney General Eric Holder and Secretary of Health and Human Services Kathleen Sibelius arrived in Miami to announce that 94 people had been charged with defrauding Medicaid, the US government’s health system. As the...
Worst Practices in Data Mining
I recently read the article Worst practices in business forecasting written by Michael Gilliland and Udo Sglavo. It is published in the July/August issue of AnalyticsMagazine, which is by the way an excellent journal about analytics. In their...
Guest post: Why Google TV Could Destroy Nielsen’s Data
It’s my pleasure to welcome Daniel Cawrey for this guest post on Data Mining Research. He has written an interesting post about Google TV and the data mining possibilities. I hope you will enjoy it. There has been a lot of hype surrounding Google...
The amount of digital data created in 2010 will equal…
If you want to impress your colleagues/friends with some huge numbers, simply use the funny comparisons made by Information Management in their article “Are You Prepared to Store All This Data?”. Here is an excerpt: “The amount of digital...
Online and offline become 1: a new era has begun (part 2)
This is the second part of the post Online and offline become 1: a new era has begun. In this post, I discuss the second article by David M. Raab. Bridging the Gap Between Online and Database Marketing Raab starts his article with the following...
Online and offline become 1: a new era has begun (part 1)
I recently came across two interesting articles that are closely related to our Customer Online Targeting (COT) tool. Both are from Information Management. The first one, “Online Analytics in Action” by Roman Lenzen, deals with web data and how to...
What is a good classification accuracy in data mining?
What a good question! Or what a bad question should I say. In fact, this question is not a good one since if we ask it this way, we might expect an answer that is valid for any data mining problem. This is of course not possible. This question may...
Web Mining: Short/Long Term User Profile
It’s now nearly one year that I manage a project about targeted advertising for a Telco company in Switzerland. The particularity of our approach is the fusion of offline (CRM) and online (web) customer profiles. We build these extended customer...
Guest post: What is Data Mining – Explaining it to the Layman
It is my pleasure to welcome Barbara Williams on Data Mining Research for a guest post about data mining. Barbara writes on the topic of Computer Technician Schools. You can email her at: barbara.williams07@gmail.com. I hope you will enjoy...
