Message from MarkTab
After years of graduate education and even more years of professional experience (with SAS and Microsoft), I still find data mining an awesome and challenging topic. I use this blog to share my best tips and achievements learned sometimes through great struggle. Today, I provide data mining advice to leading companies and industries in the United States and around the world. I share my journey and insights at leading conferences like SAS Global Forum, Microsoft TechEd, and Predictive Analytics World.
As I continue learning, my hope is to inspire you to not just learn more but also apply mathematics through technology. Data mining is a powerful tool for leaders of leaders of leaders. If you like this blog, click the "About" page to find out how to go deeper. -- Mark Tabladillo ("MarkTab")- by
Tag Archives: DMX
SQL Server Data Mining Architecture
Data Mining with Microsoft SQL Server 2008 Review Chapter 15 As the authors state, if you are only interested in data mining analysis you could skip this chapter. I believe this book leans toward the Microsoft technology, and therefore the … Continue reading
Microsoft Neural Network and Logistic Regression
Data Mining with Microsoft SQL Server 2008 Review Chapter 12 Neural networks continue to fascinate people because of the history in trying to model the brain. The longer history ties to the Artificial Intelligence community, where people continue serious work on … Continue reading
Posted in SQL Server Data Mining
Tagged DMX, logistic regression, neural network, text mining
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Microsoft Association Rules
Data Mining with Microsoft SQL Server 2008 Review Chapter 11 This chapter talks about the association machine learning algorithm. The term “market basket analysis” is often used to characterize a common application, where a retailer can either physically arranage items (as … Continue reading
Microsoft Sequence Clustering
Data Mining with Microsoft SQL Server 2008 Review Chapter 10 This chapter pays homage to Andrey Markov, the 19th century Russian mathematician who proposed what we call today Markov chains (page 334). The combination of sequence and clustering in the title … Continue reading
Microsoft Time Series Algorithm
Data Mining with Microsoft SQL Server 2008 Review Chapter 8 I have commented several times that time series was an entire class when I was in graduate school. It was an appropriate topic for that stage (either for graduate school or … Continue reading
Microsoft Decision Trees Algorithm
Data Mining with Microsoft SQL Server 2008 Review Chapter 7 Decision Trees is one of the most useful algorithms. This algorithm conceptually extends modeling into a tree of nested models where each branch provides tailored understanding of the training data. This … Continue reading
Microsoft Naïve Bayes
Data Mining with Microsoft SQL Server 2008 Review Chapter 6 The book now goes into a series of chapters, six through twelve, of an in-depth look at the individual algorithms. I will repeat a comment from earlier in this series: this book … Continue reading
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