PASS Summit 2014: Speaking about Deeper Data Insight and Prediction with Data Mining

Posted by on Nov 7, 2014 in Data Mining, Presentations | No Comments

Thanks you all attendees of my PASS Summit 2014 session on Deeper Data Insight and Prediction with Data Mining.

It was a pleasure to have an overloaded room full of audience. and I apologize in advance if overload caused inconvenience for you through the session, especially for those of you who followed my session standing or sitting on the floor.

Session Title:

Deeper Data Insight and Prediction with Data Mining [BID-203]

Session Description:

Data mining is the art of data analysis, finding data models, and predicting future behavior based on an existing data set. Microsoft data mining provides a set of robust and reliable algorithms such as decision tree, association rules, and clustering, all of which powerful to apply on any structured data set. In this session, you will learn opportunities to use data mining in real world challenges. There will be lots of demos of Microsoft data mining applied on real world scenarios.

Scenarios such as Market Basket Analysis and predictive analysis will be covered with live demos. You will also learn how to validate models against test data set with accuracy charts. Lastly, you will learn how to use DMX queries in .NET applications and bring data mining features into your custom application.

Here you can download presentation slides: Rad_Deepter Data Insight and Prediction with Data Mining.pdf

and If you haven’t evaluated my session yet, please do so. I appreciate your feedback in advance. here is evaluation link:

Reza Rad
Reza Rad is an Author, Trainer, Speaker and DW/BI Consultant. He has a BSc in Computer engineering; he has more than 15 years’ experience in databases, programming and development mostly on Microsoft technologies. He is a Microsoft MVP in Data Platform for seven continues years (from 2011 till now) for his dedication in Microsoft BI. He is author of some SQL Server and BI books, and also Power BI online book; from Rookie to Rock Star.

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