Interview- Top Data Mining Blogger on Earth , Sandro Saitta

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If you do a Google search for Data Mining Blog- for the past several years one Blog will come on top. data mining blog – Google Search

To honor 5 years of Sandro Saitta’s blog (yes thats 5 years!) , we cover an exclusive interview with him where he reveals his unique sauce for cool techie blogging.

Ajay- Describe your journey as a scientist and data miner, from early experiences, to schooling to your work/research/blogging.

Sandro- My first experience with data mining was my master project. I used decision tree to predict pollen concentration for the following week using input data such as wind, temperature and rain. The fact that an algorithm can make a computer learn from experience was really amazing to me. I found it so interesting that I started a PhD in data mining. This time, the field of application was civil engineering. Civil engineers put a lot of sensors on their structure in order to understand how they behave. With all these sensors they generate a lot of data. To interpret these data, I used data mining techniques such as feature selection and clustering. I started my blog, Data Mining Research, during my PhD, to share with other researchers.

I then started applying data mining in the stock market as my first job in industry. I realized the difference between image recognition, where 99% correct classification rate is state of the art, and stock market, where you’re happy with 55%. However, the company ambiance was not as good as I thought, so I moved to consulting. There, I applied data mining in behavioral targeting to increase click-through rates. When you compare the number of customers who click with the ones who don’t, then you really understand what class imbalance mean. A few months ago, I accepted a very good opportunity at SICPA. I’m looking forward to resolving new challenges there.

Ajay- Your blog is the top ranked blog for “data mining blog”. Could you share some tips on better blogging for analytics and technical people

Sandro- It’s always difficult to start a blog, since at the beginning you have no reader. Writing for nobody may seem stupid, but it is not. By writing my first posts during my PhD I was reorganizing my ideas. I was expressing concepts which were not always clear to me. I thus learned a lot and also improved my English level. Of course, it’s still not perfect, but I hope most people can understand me.

Next come the readers. A few dozen each week first. To increase this number, I then started to learn SEO (Search Engine Optimization) by reading books and blogs. I tested many techniques that increased Data Mining Research visibility in the blogosphere. I think SEO is interesting when you already have some content published (which means not at the very beginning of your blog). After a while, once your blog is nicely ranked, the main task is to work on the content of the blog. To be of interest, your content must be particular: original, informative or provocative for example. I also had the chance to have a good visibility thanks to well-known people in the field like Kevin Hillstrom, Gregory Piatetsky-Shapiro, Will Dwinnell / Dean Abbott, Vincent Granville, Matthew Hurst and many others.

Ajay- Whats your favorite statistical software and what are the various softwares that you have worked with.
Could you compare and contrast these software as well.

Sandro- My favorite software at this point is SAS. I worked with it for two years. Once you know the language, you can perform ETL and data mining so easily. It’s also very fast compared to others. There are a lot of tools for data mining, but I cannot think of a tool that is as powerful as SAS and, in the same time, has a high-level programming language behind it.

I also worked with R and Matlab. R is very nice since you have all the up-to-date data mining algorithms implemented. However, working in the memory is not always a good choice, especially for ETL. Matlab is an excellent tool for prototyping. It’s not so fast and certainly not done for ETL, but the price is low regarding all the possibilities for data mining. According to me, SAS is the best choice for ETL and a good choice for data mining. Of course, there is the price.

Ajay- What are your favorite techniques and training resources for learning basics of data mining to say statisticians or business management graduates.

Sandro- I’m the kind of guy who likes to read books. I read data mining books one after the other. The fact that the same concepts are explained differently (and by different people) helps a lot in learning a topic like data mining. Of course, nothing replaces experience in the field. You can read hundreds of books, you will still not be a good practitioner until you really apply data mining in specific fields. My second choice after books is blogs. By reading data mining blogs, you will really see the issues and challenges in the field. It’s still not experience, but we are closer. Finally, web resources and networks such as KDnuggets of course, but also AnalyticBridge and LinkedIn.

Ajay- Describe your hobbies and how they help you ,if at all in your professional life.

Sandro- One of my hobbies is reading. I read a lot of books about data mining, SEO, Google as well as Sci-Fi and Fantasy. I’m a big fan of Asimov by the way. My other hobby is playing tennis. I think I simply use my hobbies as a way to find equilibrium in my life. I always try to find the best balance between work, family, friends and sport.

Ajay- What are your plans for your website for 2011-2012.

Sandro- I will continue to publish guest posts and interviews. I think it is important to let other people express themselves about data mining topics. I will not write about my current applications due to the policies of my current employer. But don’t worry, I still have a lot to write, whether it is technical or not. I will also emphasis more on my experience with data mining, advices for data miners, tips and tricks, and of course book reviews!

Standard Disclosure of Blogging- Sandro awarded me the Peoples Choice award for his blog for 2010 and carried out my interview. There is a lot of love between our respective wordpress blogs, but to reassure our puritan American readers- it is platonic and intellectual.

About Sandro S-

Sandro Saitta is a Data Mining Research Engineer at SICPA Security Solutions. He is also a blogger at Data Mining Research ( His interests include data mining, machine learning, search engine optimization and website marketing.

You can contact Mr Saitta at his Twitter address-!/dataminingblog

SPSS Directions : Rexer Survey Results

Here are some results shared by Dr Karl Rexer of Rexer Analytics- they were presented at SPSS Directions. Clementine was #1 in customer satisfaction — everyone (N=78) who identified it as their primary tool were satisfied or very satisfied. It’s pretty amazing that not even one person was neutral (it was a 5-point scale).

For a detailed poster on the results contact More than 710 data mining professionals had completed the survey.

Here are some results shared by Dr Karl Rexer of Rexer Analytics- they were presented at SPSS Directions

When asked to select all of the software packages they use for data mining, each person selected an average of 5 tools.  More data miners reported using SPSS Statistics than any other tool.  And when we asked people to indicate their primary data mining tool, the tool selected by the most data miners was SPSS Modeler (Clementine).  The SPSS people were also thrilled to see that Clementine was #1 in customer satisfaction — everyone (N=78) who identified it as their primary tool were satisfied or very satisfied.  It’s pretty amazing that not even one person was neutral (it was a 5-point scale).

For a  detailed poster on the results contact More than 710 data mining professionals had completed the survey.

KXEN and a Data Mining Survey

Recently KXEN, the data mining and modeling automation company which has also pioneered social network analytics software came in for a bit of customer love in a data mining survey.


As per the site

KXENs next generation automated data mining software is a strategic solution for 90% of user organizations and has won their support and praise in a new customer satisfaction survey, the findings of which are revealed today.

Of almost 2,000 users polled 90% of those responding said the company’s advanced analytics software was strategic to their activity, 87% were highly or very highly satisfied and 85% agreed the software had met or exceeded all of their expectations. The results underscore KXEN’s growing importance in a market traditionally dominated by more costly, harder to use first generation offerings.

KXENs analytic software was also highly rated for its simple, clear interface with all respondents agreeing that KXEN solutions were easy to use, and 90% stating its new graphical front end had brought yet more usability benefits. Confirming these findings, users responding included sales, marketing and other line of business staff as well as specialist analysts, data miners, academics and statisticians.

Turning to the results of using KXENs software, 98% of all those responding stated it had improved their overall business with the same number agreeing it had speeded up their data modeling activities. 96% said KXEN had increased the value of predictive analytics in their companies.

Of course there are numerous surveys (including probably the best is from KD Nuggets) and I am trying to find the raw data and samples for this survey as I write. But it is a promising step up for a company I have admired since 2004, when I first tested it, and as late as last year I was building online models with it. Predictably Roger Hadaad whom we interviewed in January 2009 was all praise for his team and its splendid product. Well Done, guys take a bow- it is about time ! A great example of a company that builds innovative analytics quitely without getting into any tangles with open source or business intellgence sentiments.

Ajay- I am a consultant to KXEN for Social Networks Analysis.