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<div class="vevent h-event"> <h1 class="summary p-name">Framing Business Problems as Data Mining Problems - Portland DAMA Jan 21st</h1> <div class='date'><time class="dtstart dt-start" title="2016-01-21T08:30:00" datetime="2016-01-21T08:30:00">Thursday, January 21, 2016 from 8:30</time>–<time class="dtend dt-end" title="2016-01-21T11:30:00" datetime="2016-01-21T11:30:00">11:30am</time></div> <div class="location vcard p-location h-card"> <a class="url" href='http://calagator.org/venues/202391337'><span class='fn org p-name'>Standard Insurance Center Auditorium</span></a> <div class="adr p-adr h-adr"> <div class="street-address p-street-address">900 SW 5th Avenue</div> <span class="locality p-locality">Portland</span> , <span class="region p-region">Oregon</span> <span class="postal-code p-postal-code">97204</span> <div class="country-name p-country-name">United States</div> (<a href='https://maps.google.com/maps?q=900%20SW%205th%20Avenue,%20Portland%20Oregon%2097204%20United%20States'>map</a>) </div> </div> <div class="description p-description"> <p>Greetings Fellow Lovers of Data-</p> <p>Start the year off learning about Data Mining. Join me at DAMA Portland's January chapter meeting to learn how to frame Business Problems as Data Mining problems with Asoka Diggs, a Data Scientist at Intel.</p> <p>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, to understand some of the terminology and mental models prevalent in data mining, and to being able to recognize situations where data mining might apply.</p> <p>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. There will also be a variety of links and references for additional study on your own.</p> <p>Particular topics that will be addressed:</p> <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> <h2>Speaker:</h2> <p>Asoka Diggs is a Data Scientist with Intel Corp. in Hillsboro, OR. He has 15 years of experience in a variety of data management disciplines, including database administration, ER modeling, ETL development, and data architecture. He recently completed his MS Predictive Analytics from Northwestern University and is now a practicing Data Scientist. It turns out that there IS something even more fun than ER modeling, and he now spends his work time practicing his new analytic modeling skills, and teaching others how to participate and contribute to predictive analytic projects.</p> <p>Register at: <a href="http://www.damapdx.org/">http://www.damapdx.org/</a></p> <p><b>NOTE: DAMA Portland Chapter Meetings have moved to 3rd Thursday for 2016!</b></p> <ul> <li>8:30 - 9:00 am - Sign In </li> <li>9:00 - 10:15 am - Presentation </li> <li>10:15 - 10:30 am - Break, Chapter Announcements</li> <li>10:30 - 11:30 am - Presentation continued</li> </ul> <p>Cost</p> <ul> <li>Free: DAMA PDX members and employees of Corporate Members</li> <li>$15 for guests to cover speaker costs and continental breakfast</li> <li>$5 for students with current student ID</li> <li>See our corporate members </li> </ul> <h2>About DAMA Portland</h2> <p>The Portland Metro Chapter of the Data Administration Management Association has been serving the Portland data community since 1984. We are a not-for-profit, vendor independent, professional association dedicated to advancing the concepts and practices of enterprise information and data resource management.</p> <p>Our primary purpose is to promote the understanding, development and practice of managing data, information and knowledge resources as key enterprise assets.</p> </div> <h3>Links</h3> <ul> <li><a class="url u-url" href="http://www.damapdx.org/">Website</a></li> </ul> </div>

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Sunday, December 27, 2015 at 7:53pm and last updated
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Framing Business Problems as Data Mining Problems - Portland DAMA Jan 21st

Thursday, January 21, 2016 from 8:30–11:30am

Standard Insurance Center Auditorium

900 SW 5th Avenue

Portland, Oregon 97204, United States (map)

(Take escalator at entry, down one level to meeting room)

Website

http://www.damapdx.org/

Description

Greetings Fellow Lovers of Data-

Start the year off learning about Data Mining. Join me at DAMA Portland's January chapter meeting to learn how to frame Business Problems as Data Mining problems with Asoka Diggs, a Data Scientist at Intel.

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, to understand some of the terminology and mental models prevalent in data mining, and to being able to recognize situations where data mining might apply.

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. There will also be a variety of links and references for additional study on your own.

Particular topics that will be addressed:

Formulating business problems as data mining problems
Supervised Learning
Classification methods including Decision Tree and Logistic Regression
Model Validation
No math!

Speaker:

Asoka Diggs is a Data Scientist with Intel Corp. in Hillsboro, OR. He has 15 years of experience in a variety of data management disciplines, including database administration, ER modeling, ETL development, and data architecture. He recently completed his MS Predictive Analytics from Northwestern University and is now a practicing Data Scientist. It turns out that there IS something even more fun than ER modeling, and he now spends his work time practicing his new analytic modeling skills, and teaching others how to participate and contribute to predictive analytic projects.

NOTE: DAMA Portland Chapter Meetings have moved to 3rd Thursday for 2016!

8:30 - 9:00 am - Sign In
9:00 - 10:15 am - Presentation
10:15 - 10:30 am - Break, Chapter Announcements
10:30 - 11:30 am - Presentation continued

Cost

Free: DAMA PDX members and employees of Corporate Members
$15 for guests to cover speaker costs and continental breakfast
$5 for students with current student ID
See our corporate members

About DAMA Portland

The Portland Metro Chapter of the Data Administration Management Association has been serving the Portland data community since 1984. We are a not-for-profit, vendor independent, professional association dedicated to advancing the concepts and practices of enterprise information and data resource management.

Our primary purpose is to promote the understanding, development and practice of managing data, information and knowledge resources as key enterprise assets.