| description |
The DAMA Portland Chapter is dedicated to delivering thought provoking, data-centric presentations that will make you more successful in your job
This will be a brief introduction to some of the important concepts that arise in data mining in general and classification analysis in particular. The focus in this presentation will be helping attendees to develop their ability to frame business problems as data mining problems.
Through a demonstration driven presentation format, attendees will be exposed to a variety of data mining topics. Throughout the demo, attention will be paid to points of intersection with traditional data modeler work products including the data dictionary and dimensional data model. I will also leave you with a variety of links and references for additional study on your own.
Particular topics that will be addressed:
<ul>
<li>
Formulating business problems as data mining problems
</li>
<li>
Supervised Learning
</li>
<li>
Classification methods including Decision Tree and Logistic Regression
</li>
<li>
Model Validation
</li>
<li>
No math!
</li>
</ul><h3>Registration Required</h3>
Please register at that DAMA PDX site (continental breakfast served)
<p>
Free for members and employees of corporate members.
</p><p>
$15 for guests to help cover speaker costs. See the DAMAPDX site for a list of corporate members.</p> |
→ |
The DAMA Portland Chapter is dedicated to delivering thought provoking, data-centric presentations that will make you more successful in your job
This will be a brief introduction to some of the important concepts that arise in data mining in general and classification analysis in particular. The focus in this presentation will be helping attendees to develop their ability to frame business problems as data mining problems.
Through a demonstration driven presentation format, attendees will be exposed to a variety of data mining topics. Throughout the demo, attention will be paid to points of intersection with traditional data modeler work products including the data dictionary and dimensional data model. I will also leave you with a variety of links and references for additional study on your own.
Particular topics that will be addressed:
<ul>
<li>
Formulating business problems as data mining problems
</li>
<li>
Supervised Learning
</li>
<li>
Classification methods including Decision Tree and Logistic Regression
</li>
<li>
Model Validation
</li>
<li>
No math!
</li>
</ul><h3>Registration Required</h3>
Please register at the DAMA PDX site (continental breakfast served)
<p>
Free for members and employees of corporate members.
</p><p>
$15 for guests to help cover speaker costs. See the DAMAPDX site for a list of corporate members.</p> |