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  • Conferences, User Groups, and Seminars Q3 and Q4 2016

    I am closing my plan for the second semester of this year. Before listing the events I plan to attend, just a quick comment. I had conversation about some specific events and why dont I visit them many times, especially about the events in vicinity. My answer is pretty simple. I try to plan my events for six months in advance. My schedule for the ...
    Posted to Dejan Sarka (Weblog) by Dejan Sarka on July 19, 2016
  • PASS SQL Saturday #567 Slovenia 2016

    So we are back again The leading event dedicated to Microsoft SQL Server in Slovenia will take place on Saturday, 10th December 2016, at the Faculty of Computer and Information Science of the University of Ljubljana, Večna pot 113, Ljubljana (http://www.fri.uni-lj.si/en/about/how_to_reach_us/). As always, this is an English-only event. We dont ...
    Posted to Dejan Sarka (Weblog) by Dejan Sarka on July 7, 2016
  • MDS 2016 Installation on Windows Server 2012 R2

    This is a tip that should help installing SQL Server 2016 (tested on CTP33, RC2 and RC3) Master Data Services. The documentation is pretty old and incomplete (I already sent the feedback). The page Web Application Requirements (Master Data Services) (https://msdn.microsoft.com/en-us/library/ee633744.aspx) should be seriously updated. First of ...
    Posted to Dejan Sarka (Weblog) by Dejan Sarka on April 27, 2016
  • DevWeek 2016 BI in SQL Server 2016 Workshop Setup

    I got some questions about virtual machine / notebook setup for my Business Intelligence in SQL Server 2016 DevWeek post-conference workshop. I am writing this blog because I want to spread this information as quickly as possible. There will be no labs during the seminar, no time for this. However, I will make all of the code available. ...
    Posted to Dejan Sarka (Weblog) by Dejan Sarka on April 15, 2016
  • Conferences, User Groups, and Seminars Q1 and Q2 2016–Update

    Traditionally, I write down a list of presentations I am giving on different events every semester. This semester, I am already a bit late. I am still missing some info. So here is the list of the events I am planning to attend. I will add events and correct the list as needed later. Here is the updated info. Of course, more updates will come when ...
    Posted to Dejan Sarka (Weblog) by Dejan Sarka on February 10, 2016
  • re: Data Mining Algorithms – Neural Network

    Tom, I am sorry, but I don't see your point. Artificial Neural Network is one of &nbsp;data mining and / or machine learning algorithms. This article is in the series of articles where I describe the algorithms. I am not talking about the data mining process here. I wrote a series of articles about data mining process in a very detailed fraud ...
    Posted to Dejan Sarka (Weblog) by Dejan Sarka on February 3, 2016
  • re: Data Mining Algorithms – an Introduction

    Association Rules, also Sequence Clustering, you can even use the Decision Trees for affinity grouping.
    Posted to Dejan Sarka (Weblog) by Dejan Sarka on January 27, 2016
  • Data Mining Algorithms – Neural Network

    A neural network is a powerful data modeling tool that is able to capture and represent complex input/output relationships. The motivation for the development of neural network technology stemmed from the desire to develop an artificial system that could perform &quot;intelligent&quot; tasks similar to those performed by the human brain. Neural ...
    Posted to Dejan Sarka (Weblog) by Dejan Sarka on January 26, 2016
  • PASS SQL Saturday #460 Slovenia 2015 Recapitulation

    Our third SQL Saturday in Ljubljana is over. Two weeks seems to be enough time to sleep over and see things a bit from a distance. Without any further delays, I can declare that it is clear that the event was a pure success Let me start with the numbers, comparing total number of people, including speakers, sponsors, attendees, and organizers, ...
    Posted to Dejan Sarka (Weblog) by Dejan Sarka on December 30, 2015
  • Data Mining Algorithms – Decision Trees

    Decision Trees is a directed technique. Your target variable is the one that holds information about a particular decision, divided into a few discrete and broad categories (yes / no; liked / partially liked / disliked, etc.). You are trying to explain this decision using other gleaned information saved in other variables (demographic data, ...
    Posted to Dejan Sarka (Weblog) by Dejan Sarka on October 29, 2015
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