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Date:   Wed, 3 Aug 2011 12:12:56 -0400
Reply-To:   Charles Patridge <Charles_S_Patridge@PRODIGY.NET>
Sender:   "SAS(r) Discussion" <SAS-L@LISTSERV.UGA.EDU>
From:   Charles Patridge <Charles_S_Patridge@PRODIGY.NET>
Subject:   HASUG MEETING ANNOUNCEMENT AND DIRECTIONS
Content-Type:   text/plain; charset=ISO-8859-1

HASUG MEETING ANNOUNCEMENT AND DIRECTIONS Our next meeting is Thursday Aug 18, 2011 at SAS Institute Inc 95 Glastonbury Blvd # 301 Glastonbury, CT 06033 from 9:00am to noon

Registration will be open until 50 attendees register, or until 12 noon on Monday, Aug 15th. If you register, and later find you cannot attend, please cancel your registration. Refreshments to be served & time for conversation beginning at 8:30.

Our Topics and Speakers will be:

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SAS® Text Analytics: Maximize the Value Buried in Unstructured Data, Mary- Elizabeth ("M-E") Eddlestone, SAS Institute

SAS Text Analytics provides a framework that enables organizations to maximize the value of information within large quantities of text that is generated, acquired or exists in repositories by extracting relevant information, and interpreting, mining and structuring information to reveal patterns, sentiments and relationships among documents. This presentation will provide an overview of text analytics capabilities from SAS including SAS® Enterprise Content Categorization, SAS® Text Miner, SAS® Sentiment Analysis, and SAS® Ontology Management.

Mary-Elizabeth ("M-E") Eddlestone is an analytics specialist on the SAS Customer Loyalty team. Having studied Economics and Quantitative Methods at Mount Holyoke College and Cornell University, M-E has used SAS analytics to study, to model, to forecast, to optimize, and to predict a variety of subjects, from clothing sizes to environmental damages, from water quality to product profitability, from customer preferences to customer satisfaction. M-E has spent the last 14 years at SAS helping customers discover the power of SAS analytics.

SAS® Statistical Graphics Procedures, Selvaratnam Sridharma, Census Bureau

SAS® statistical graphics procedures (SG procedures) that were introduced in SAS 9.2 help you to create high quality statistical graphics. These procedures include SGPLOT, SGPANEL, SGSCATTER, and SGRENDER. The procedures SGPLOT, SGPANEL, SGSCATTER need only little coding. These procedures can be used to create most of the commonly used statistical graphics. Each procedure is created for a different purpose. To create customized statistical graphics and layouts, you can use the procedure SGRENDER. To use SGRENDER procedure, you need to create templates using Graph Template Language (GTL). The coding for these templates may be little complicated. Here we illustrate some use of these procedures through examples. This paper also shows how to enhance the appearance of the graphs created by these procedures using ODS styles.

Selvaratnam Sridharma is a Mathematical Statistician at the Census Bureau and also had an academic career in teaching mathematics and statistics at various universities for over 13 years before joining the Census Bureau in 2000. He has used SAS for about 11 years and has been an active presenter at various conferences such as NESUG and SAS Global for many years. He holds a Ph.D degree in Mathematics.

This meeting has limited seating capacity and will be limited to the 1st 50 people who register.

If you register, and later find you cannot attend, please cancel your registration by contacting the HASUG chairperson.

The Flash is ready for viewing on the hasug.org website. Directions are also list at our website, too.

We look forward to seeing you at our next meeting. And invite your colleagues to attend this meeting as well.

Please consider hosting one of our future meetings if your employer can accommodate 50-75 people. There is no need to have refreshments as the Steering Committee can make arrangements to bring refreshments at our expense if your employer can not.

Also, please consider sharing one of your SAS applications, tools, tips or processes with our membership by presenting to the group at a future meeting. It is a great way to gain some exposure, practice your presentations skills, share your knowledge, and even possibly advance your career.

The HASUG STEERING COMMITTEE


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