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<p class=MsoNormal><font size=2 face=Arial><span style='font-size:10.0pt;
font-family:Arial'>This<font color=black><span style='color:black'> training
event is <b><u><span style='font-weight:bold'>free</span></u></b> (sponsored by
the State Controller’s Division - SARS). This is an audio conference
to be held at the Veteran’s Building Auditorium. Space is limited to 100
people.<o:p></o:p></span></font></span></font></p>
<p class=MsoNormal><font size=2 color=black face=Arial><span style='font-size:
10.0pt;font-family:Arial;color:black'> <o:p></o:p></span></font></p>
<p class=MsoNormal><b><font size=2 color=red face=Arial><span style='font-size:
10.0pt;font-family:Arial;color:red;font-weight:bold'>Registration for this
event will be coordinated through iLearn <st1:place w:st="on"><st1:State w:st="on">Oregon</st1:State></st1:place>
(<a href="https://ilearn.oregon.gov/" title="https://ilearn.oregon.gov/"><font
color=red><span style='color:red'>https://ilearn.oregon.gov</span></font></a>);</span></font></b><font
size=2 color=black face=Arial><span style='font-size:10.0pt;font-family:Arial;
color:black'> additional information is listed in the
“Registration” section of the below announcement. </span></font><font
size=2 color=navy face=Arial><span style='font-size:10.0pt;font-family:Arial;
color:navy'><o:p></o:p></span></font></p>
<p class=MsoNormal><font size=2 color=navy face=Arial><span style='font-size:
10.0pt;font-family:Arial;color:navy'><o:p> </o:p></span></font></p>
<p class=MsoNormal><font size=2 color=black face=Arial><span style='font-size:
10.0pt;font-family:Arial;color:black'>If you have questions, please contact
Aaron Wallace at <a href="mailto:Aaron.Wallace@state.or.us"><font color=black><span
style='color:black'>Aaron.Wallace@state.or.us</span></font></a> or 503-373-7277</span></font><font
size=2 color=navy face=Arial><span style='font-size:10.0pt;font-family:Arial;
color:navy'>,</span></font><font size=2 color=black face=Arial><span
style='font-size:10.0pt;font-family:Arial;color:black'> ext. 281. <o:p></o:p></span></font></p>
<p class=MsoNormal><font size=2 color=black face=Arial><span style='font-size:
10.0pt;font-family:Arial;color:black'> <o:p></o:p></span></font></p>
<p class=MsoNormal><font size=2 color=black face=Arial><span style='font-size:
10.0pt;font-family:Arial;color:black'>Thank you. <o:p></o:p></span></font></p>
<p class=MsoNormal><font size=2 color=black face=Arial><span style='font-size:
10.0pt;font-family:Arial;color:black'> <o:p></o:p></span></font></p>
<div class=MsoNormal align=center style='text-align:center'><font size=2
color=black face=Arial><span style='font-size:10.0pt;font-family:Arial;
color:black'>
<hr size=2 width="100%" align=center>
</span></font></div>
<p class=MsoNormal><b><font size=3 color=black face=Arial><span
style='font-size:12.0pt;font-family:Arial;color:black;font-weight:bold'>Needles
in a Haystack—Data Mining and Predictive Analytics to Prioritize Leads
and Highlight Risk for Investigators and Auditors</span></font></b><b><font
size=2 color=black face=Arial><span style='font-size:10.0pt;font-family:Arial;
color:black;font-weight:bold'><br>
Jan. 12, 2011 - <span style='background:#FF9933'>2 CPE Hours Available!<o:p></o:p></span></span></font></b></p>
<p class=MsoNormal><font size=2 color=black face=Arial><span style='font-size:
10.0pt;font-family:Arial;color:black'><o:p> </o:p></span></font></p>
<p class=MsoNormal><font size=2 color=black face=Arial><span style='font-size:
10.0pt;font-family:Arial;color:black'>AGA is pleased to announce a new topic to
our audio conference schedule—data mining for investigators and auditors.<o:p></o:p></span></font></p>
<p style='margin:0in;margin-bottom:.0001pt'><font size=2 color=black
face=Arial><span style='font-size:10.0pt'>Government investigators and auditors
are often overwhelmed by high volumes of data and can perform only <i><span
style='font-style:italic'>ad-hoc</span></i> analyses and queries to find areas
of potential risk and fraud. This audio conference will reveal how data mining can
prioritize audits and investigations on the highest value leads or risk areas
to ensure the most return on investment. Data mining uses proven statistical
techniques to identify anomalous transactions, contracts or people to rank the
most likely fraudulent cases for investigation or audit. Predictive modeling
employs statistical models to learn from past audits and investigations to
predict, in real-time, which new cases are most likely to be improper or
fraudulent.<o:p></o:p></span></font></p>
<p style='margin:0in;margin-bottom:.0001pt'><font size=2 color=black
face=Arial><span style='font-size:10.0pt'> <o:p></o:p></span></font></p>
<p style='margin:0in;margin-bottom:.0001pt'><font size=2 color=black
face=Arial><span style='font-size:10.0pt'>Searching for fraud is like looking
for needles in a haystack, and specialized techniques are needed to succeed.
When beginning a predictive modeling project, analysts almost always have
relatively few known instances of fraud with which to represent the problem in
the training phase of building the model. Some fraudulent cases that have
escaped detection are mislabeled as valid, which adds to the challenge of
distinguish between the two. Statistical outliers in the data, which are signs
of unusual activity, are fruitful places to search for fraud, but a typical
“alert” system built only on these will have far too many
“false alarms," or false positives, to be useful in practice. In
this audio conference, our presenters will show how to make real advances
despite these challenges. <o:p></o:p></span></font></p>
<p class=MsoNormal><font size=2 color=black face=Arial><span style='font-size:
10.0pt;font-family:Arial;color:black'>To share their practical experience in
data mining, audits and investigations are <b><span style='font-weight:bold'>John
Elder, Ph.D., </span></b>CEO and founder of Elder Research, Inc., a thought
leader in the field of data mining and predictive analytics, an award-winning
book author and a frequent keynote speaker at conferences; <b><span
style='font-weight:bold'>John V. Kelly, CGFM, CPA, CFE, </span></b>director of
Forensic Audits, Office of Inspector General, U.S. Department of Homeland
Security; and <b><span style='font-weight:bold'>Edward Slevin, CISA,</span></b>
director of Computer-Aided Assessment Techniques, Office of Inspector General,
U.S. Department of Education.<o:p></o:p></span></font></p>
<p class=MsoNormal><font size=2 color=black face=Arial><span style='font-size:
10.0pt;font-family:Arial;color:black'>Please join us for two hours of lively
discussion about this important and timely topic. In addition to the
speakers’ commentary, about 20 minutes will be set aside for Q & A so
that the participants can ask the speakers questions and share their own
experiences.<o:p></o:p></span></font></p>
<p class=MsoNormal><b><font size=2 color=black face=Arial><span
style='font-size:10.0pt;font-family:Arial;color:black;font-weight:bold'><o:p> </o:p></span></font></b></p>
<p class=MsoNormal><b><font size=2 color=black face=Arial><span
style='font-size:10.0pt;font-family:Arial;color:black;font-weight:bold'>Date: </span></font></b><font
size=2 color=black face=Arial><span style='font-size:10.0pt;font-family:Arial;
color:black'>Wed., Jan. 12, 2011<o:p></o:p></span></font></p>
<p class=MsoNormal><b><font size=2 color=black face=Arial><span
style='font-size:10.0pt;font-family:Arial;color:black;font-weight:bold'>Time:</span></font></b><font
size=2 color=black face=Arial><span style='font-size:10.0pt;font-family:Arial;
color:black'> 11–12:50 p.m. Pacific Standard Time<o:p></o:p></span></font></p>
<p class=MsoNormal><b><font size=2 color=black face=Arial><span
style='font-size:10.0pt;font-family:Arial;color:black;font-weight:bold'>Learning
Objectives:</span></font></b><font size=2 color=black face=Arial><span
style='font-size:10.0pt;font-family:Arial;color:black'> To understand how data
mining can prioritize audits and investigations on the highest value leads or
risk areas to ensure the most return on investment.<o:p></o:p></span></font></p>
<p class=MsoNormal><b><font size=2 color=black face=Arial><span
style='font-size:10.0pt;font-family:Arial;color:black;font-weight:bold'>Prerequisite:</span></font></b><font
size=2 color=black face=Arial><span style='font-size:10.0pt;font-family:Arial;
color:black'> Basic familiarity with data mining, risk, audit and
investigations<o:p></o:p></span></font></p>
<p class=MsoNormal><b><font size=2 color=black face=Arial><span
style='font-size:10.0pt;font-family:Arial;color:black;font-weight:bold'>Advance
Prep:</span></font></b><font size=2 color=black face=Arial><span
style='font-size:10.0pt;font-family:Arial;color:black'> None
required <o:p></o:p></span></font></p>
<p class=MsoNormal><b><font size=2 color=black face=Arial><span
style='font-size:10.0pt;font-family:Arial;color:black;font-weight:bold'>Field
of Study:</span></font></b><font size=2 color=black face=Arial><span
style='font-size:10.0pt;font-family:Arial;color:black'> Auditing <o:p></o:p></span></font></p>
<p class=MsoNormal><b><font size=2 color=black face=Arial><span
style='font-size:10.0pt;font-family:Arial;color:black;font-weight:bold'><o:p> </o:p></span></font></b></p>
<p class=MsoNormal><b><font size=2 color=black face=Arial><span
style='font-size:10.0pt;font-family:Arial;color:black;font-weight:bold'>CPE:</span></font></b><font
size=2 color=black face=Arial><span style='font-size:10.0pt;font-family:Arial;
color:black'> Two credit hours<o:p></o:p></span></font></p>
<p class=MsoNormal><b><font size=2 color=black face=Arial><span
style='font-size:10.0pt;font-family:Arial;color:black;font-weight:bold'><o:p> </o:p></span></font></b></p>
<p class=MsoNormal><b><font size=2 color=black face=Arial><span
style='font-size:10.0pt;font-family:Arial;color:black;font-weight:bold'>Cost:</span></font></b><font
size=2 color=black face=Arial><span style='font-size:10.0pt;font-family:Arial;
color:black'>
<b><span style='font-weight:bold'>FREE</span></b> (Sponsored by SCD)<o:p></o:p></span></font></p>
<p class=MsoNormal><font size=2 color=black face=Arial><span style='font-size:
10.0pt;font-family:Arial;color:black'> <o:p></o:p></span></font></p>
<p class=MsoHeader><b><font size=2 color=black face=Arial><span
style='font-size:10.0pt;font-family:Arial;color:black;font-weight:bold'>Registration:</span></font></b><font
size=2 color=black face=Arial><span style='font-size:10.0pt;font-family:Arial;
color:black'> <a href="https://ilearn.oregon.gov/"
title="https://ilearn.oregon.gov/"><font color=black><span style='color:black'>https://ilearn.oregon.gov</span></font></a><o:p></o:p></span></font></p>
<p class=MsoHeader><font size=2 color=black face=Arial><span style='font-size:
10.0pt;font-family:Arial;color:black'> <o:p></o:p></span></font></p>
<p class=MsoNormal style='margin-left:1.0in'><font size=2 color=black
face=Arial><span style='font-size:10.0pt;font-family:Arial;color:black'>Registration
for this event will be coordinated through iLearnOregon using the link provided
above. You will need an active iLearnOregon account to complete the
registration process. If you do not already have an iLearnOregon account,
you can find information on how to create an account (for both state &
non-state personnel) on the main log-in page for iLearnOregon. Once you
have logged-in you will find a link for “How to Register For A
Course” in the left navigation panel under “iLearnOregon <st1:place
w:st="on"><st1:PlaceName w:st="on">Help</st1:PlaceName> <st1:PlaceType w:st="on">Center</st1:PlaceType></st1:place>.”
<o:p></o:p></span></font></p>
<p class=MsoNormal><font size=2 color=black face=Arial><span style='font-size:
10.0pt;font-family:Arial;color:black'> <o:p></o:p></span></font></p>
<p class=MsoNormal><b><font size=2 color=black face=Arial><span
style='font-size:10.0pt;font-family:Arial;color:black;font-weight:bold'>Sponsored
by:</span></font></b><font size=2 color=black face=Arial><span
style='font-size:10.0pt;font-family:Arial;color:black'><o:p></o:p></span></font></p>
<p class=MsoNormal><font size=2 color=black face=Arial><span style='font-size:
10.0pt;font-family:Arial;color:black'> <o:p></o:p></span></font></p>
<p class=MsoNormal><font size=2 color=black face=Arial><span style='font-size:
10.0pt;font-family:Arial;color:black'><img border=0 width=214 height=63
id="_x0000_i1025" src="cid:image001.jpg@01CB9AAE.64F02D80"><o:p></o:p></span></font></p>
<p class=MsoNormal><font size=2 color=navy face=Arial><span style='font-size:
10.0pt;font-family:Arial;color:navy'><o:p> </o:p></span></font></p>
<p class=MsoNormal><font size=2 color=navy face=Arial><span style='font-size:
10.0pt;font-family:Arial;color:navy'><o:p> </o:p></span></font></p>
<p class=MsoNormal><font size=2 color=navy face=Arial><span style='font-size:
10.0pt;font-family:Arial;color:navy'>Aaron Wallace</span></font><font
color=navy><span style='color:navy'><o:p></o:p></span></font></p>
<p class=MsoNormal><em><i><font size=2 color=navy face=Arial><span
style='font-size:10.0pt;font-family:Arial;color:navy'>Sr. Datamart Business
Analyst</span></font></i></em><font color=navy><span style='color:navy'><o:p></o:p></span></font></p>
<p class=MsoNormal><font size=2 color=navy face=Arial><span style='font-size:
10.0pt;font-family:Arial;color:navy'>State Controller's Division</span></font><font
color=navy><span style='color:navy'><o:p></o:p></span></font></p>
<p class=MsoNormal><font size=3 color=navy face="Times New Roman"><span
style='font-size:12.0pt;color:navy'> <o:p></o:p></span></font></p>
<p class=MsoNormal><font size=1 color="#353535" face=Arial><span
style='font-size:7.5pt;font-family:Arial;color:#353535'>Data Classification:
Level 1 - Published</span></font><o:p></o:p></p>
<p class=MsoNormal><font size=2 color=navy face=Arial><span style='font-size:
10.0pt;font-family:Arial;color:navy'><o:p> </o:p></span></font></p>
<p class=MsoNormal><font size=2 color=black face=Arial><span style='font-size:
10.0pt;font-family:Arial;color:black'><o:p> </o:p></span></font></p>
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