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jwexler
‎09-02-2025
  • 75 Posts
  • 0 Likes Given
  • 5 Solutions
  • 51 Likes Received
About
Jonathan is the Product Manager responsible for SAS High-Performance Analytics and SAS Enterprise Miner. What he loves about Data Mining is that what he does between 9-5 translates to his favorite hobby, which is being a sports enthusiast (some say sports nut). Statistics have become an integral part of our daily lives, so what we do in the office impacts what we do for fun! Jonathan has a BS in Mathematics and Statistics from the University of New Hampshire and an MA in Biostatistics from Boston University. He has a track record of building and mentoring successful teams across multiple disciplines, including analytics, database and business intelligence. He is an experienced statistician with more than 15 years using SAS in an enterprise business environment and several years working with databases and business intelligence systems.

Re: Long Running Time for SAS EM Neural Network

by SAS Employee in SAS Data Science
‎05-05-2014 10:07 AM
‎05-05-2014 10:07 AM
Aha123, have you taken a look at EM 12.3 or even EM 13.1?  There is a new High-Performance Neural network node that is automatically multithreaded across the processors on yopur local SAS machine.  That should make a difference.  Otherwise, let us know what settings you are using. Thanks, Jonathan ... View more

Re: Variable distribution and diversity measure for selection

by SAS Employee in SAS Data Science
‎04-25-2014 03:25 PM
‎04-25-2014 03:25 PM
Wow, great post everyone, very lively today!  With respect to any bugs or issues with Enterprise Miner, SAS Tech Support is a great resource for troubleshooting.  With respect to coding inside EM, there are many options to customize your flows, including the Code Node, Transformations node, etc...  As Reeza stated earlier, some of the finer features may require training and experience.  There are many, many macros and macro variables available to add to your coding experience. Thanks, Jonathan Product Manager - SAS Enterprise Miner ... View more

Quick SAS Predictive Modeling and Video Tips

by SAS Employee in SAS Data Science
‎03-05-2014 01:00 PM
‎03-05-2014 01:00 PM
We have an external site that contains a series of videos that SAS experts have produced that cover our analytic products. For example, if you want to analyze the effect of a Treatment on your outcome, take a peak at the Incremental Response Modeling video. Video Portal: Statistics and Operations Research Jonathan ... View more

Live SAS Data Mining Q&A March 5 12:30-1:30pm EST

by SAS Employee in SAS Data Science
‎02-28-2014 01:41 PM
1 Like
‎02-28-2014 01:41 PM
1 Like
Thanks to all of you who participated in the SAS Talks session I hosted last week.  It was a blast.  To follow up on that event, we will be hosting a LIVE Q&A on the SAS Data Mining Community site on March 5 from 12:30-1:30 PM EST.  SAS internal data mining product experts will be on-hand to respond to your questions during the session. We would love to field questions you may have on SAS Enterprise Miner 13.1 or any data mining questions in general. This will be the first of a series of live Q&A sessions.  In the coming weeks, we will be adding interactive chat capabilities to our sessions. Stop by, and spend your lunch with us! Thanks, Jonathan ... View more

Re: Enterprise Miner Timeline

by SAS Employee in SAS Data Science
‎02-14-2014 09:41 AM
1 Like
‎02-14-2014 09:41 AM
1 Like
I have asked one of our SAS project managers to pull together a list.  I will post the dates. This will be a fun test for the community.  I will post the dates, and lets see who can produce the chart for everyone!  Please share your code. Jonathan ... View more

Re: Effects Plot and Coefficient Question

by SAS Employee in SAS Data Science
‎02-14-2014 09:39 AM
3 Likes
‎02-14-2014 09:39 AM
3 Likes
Hi I have a quick answer for you.  If you look at the legend below the chart, red is positive and blue is negative.  That matches your Parameter Estimates. Thanks, Jonathan ... View more

What's New in Enterprise Miner 13.1 - Live SAS Talks Session

by SAS Employee in SAS Data Science
‎02-10-2014 05:15 PM
‎02-10-2014 05:15 PM
Good evening SAS Data Miners.  I will be hosting a SAS Talks on Thursday, February 20 at 1pm EST.  It will be a live demo session during which I will highlight the recent release of Enterprise Miner 13.1. This was an exciting release, we released 10 new nodes!!  During this session, I will cover new EM nodes (HP SVM, HP Cluster, Open Source, and many others).  You will also get a glimpse at future product plans, which include our browser-based analytic clients.  Feel free to join in. Register here: https://www.sas.com/reg/web/corp/2287875 Thanks, Jonathan ... View more

Re: time series in E Miner

by SAS Employee in SAS Data Science
‎01-21-2014 08:00 AM
‎01-21-2014 08:00 AM
Hi Mervil.  The answer is Yes The  TS SIM node has the sequence sliding option. If you specify the value to “Index”, it will create the similarity (distance) measure between two series collected in two different time periods. Thanks, Jonathan ... View more

Re: Use of cut off node in SAS EMiner 7.1

by SAS Employee in SAS Data Science
‎01-03-2014 02:26 PM
‎01-03-2014 02:26 PM
And...just as I wrote that I received more info from R&D: 1.  You need to use the “Decision node”(not Decision Tree Node) after sampling node, you can specify  the adjusted prior  as your original prior (before sampling) and you will keep your data prior from the oversampling. If you don't use the decision node and you specify your adjusted prior as the original prior in input data source node, there will not be any predicted probability adjustment by the prior because the ratio is always 1.  Decision matrix is related to calculating profit and loss, it will be applied separately after the prior adjustment. 2.  For rare event modeling,  usually an oversampling is required, it is not necessary to make the sample balanced. However it depends on your data and analysis. 3. take a look at the Proc Arbor procedure document, it has the details.    The proc option “DECSEARCH”  is for "Use Decisions"    The proc option “PRIORSSEARCH”  is for "Use Priors" in "Split Search    4. The Cutoff node will not impact on the decision tree node itself.  The cutoff node will create just the EM_CUTOFF variable, which is the classification variable resulted by the new cutoff value. For exmple, your new cutoff is 0.06,  a piece of cutoff score code will be added to the end of the previous score code. IF P_good_badgood > 0.06  THEN EM_CUTOFF = 1; ELSE EM_CUTOFF = 0; ... View more

Re: Use of cut off node in SAS EMiner 7.1

by SAS Employee in SAS Data Science
‎01-03-2014 02:22 PM
‎01-03-2014 02:22 PM
Hi Aditya, I discussed with R&D and they had some thoughts on question 3.  For the other questions, I would recommend contacting SAS Tech Support at support.sas.com.  They can provide you 1:1 support for your questions. It would likely be more beneficial and efficient to meet your needs.  I would ask them for the EM Procedure Documentation which is available upon request. The following Proc options in the Proc arbor doc explain the two options. “DECSEARCH”  for "Use Decisions" PRIORSSEARCH” for "Use Priors" in "Split Search  Thanks, Jonathan ... View more

Re: Use of cut off node in SAS EMiner 7.1

by SAS Employee in SAS Data Science
‎12-20-2013 10:56 AM
3 Likes
‎12-20-2013 10:56 AM
3 Likes
Thanks for the addiotional questions.  I will discuss with R&D and get back to you.  It may not be until 2014 Thanks, Jonathan ... View more

Re: Hosmer and Lemeshow Goodness-of-Fit on Validation Sample, Help...M...

by SAS Employee in SAS Data Science
‎12-12-2013 09:27 AM
‎12-12-2013 09:27 AM
Hi, I just posted a similar response to Kanyange.  You would be best served posting this question in SAS STAT Community I would consider this more of a stat than data mining question Thanks, Jonathan ... View more

Re: Model Validation. Please Help.. Thank you

by SAS Employee in SAS Data Science
‎12-12-2013 09:23 AM
‎12-12-2013 09:23 AM
Kanyange, this question would be best posted in the SAS Stat Community Given your needs with PROC LOGISTIC, they would be best to respond appropriately. Let me know if you need any more help. Thanks, Jonathan ... View more

Re: Use of cut off node in SAS EMiner 7.1

by SAS Employee in SAS Data Science
‎12-10-2013 08:58 AM
‎12-10-2013 08:58 AM
Hi Ajosh, I have included responses inline from SAS R&D, thanks for your questions. Questions on Approach 1: In the first approach, the cut off node was run twice (once at default 0.5 value and second at a lower threshold). The decision tree results didnt change due to this. So does it mean that the new threshold can be applied only for scoring purpose only? Yes,  it will create new EM_CUTOFF output variable which is another version of INTO variable based on the cutoff value. b) Can the rest of the records from the original dataset, which havent made into the sample used for creating the tree be still used for "scoring"? No,  all the nodes after sampling node will use the sample data. If you like to score the whole data including non-sampled data, you can  use the score node with the whole data as a score input data. How can I extract "english rules" from this output and sould I be referring to the sample dataset for the same ? English rule can be found at the result of tree node. Yes. Questions on Approach 2: It may sound silly, but would like to ask if there is really a need to use a cut off node when I am using the boosting procedure? The cutoff node will not do anything for boosting in your flow. ... View more

Re: Model Validation. Please Help.. Thank you

by SAS Employee in SAS Data Science
‎12-06-2013 04:16 PM
‎12-06-2013 04:16 PM
Kanyange, would you mind sharing your modeling code?  It would help to understand the options you selected, along with a snapshot of the output. Thanks, Jonathan ... View more
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