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Date:         Fri, 14 Mar 1997 10:49:49 -0800
Reply-To:     dymond@CCNET.COM
Sender:       "SAS(r) Discussion" <SAS-L@UGA.CC.UGA.EDU>
From:         Anthony Dymond <dymond@CCNET.COM>
Subject:      Re: Pre-SUGI Data Mining - KDD Discussion
Comments: To:
In-Reply-To:  <>
Content-Type: text/plain

On Wed, 12 Mar 1997, Thomas Skinner <> wrote: >Dear SAS-Lers, > >In an attempt to provoke a bit of discussion on the topic of Data Mining >a.k.a. Knowledge Discovery in Large Databases (KDD), I thought I'd start >a thread, pre-SUGI. > >Here are a few of the questions I've come up with: >


Lots of interesting issues -- here are a couple of notions:

>How comfortable would your organization/company be with a "Black Box" / >Proprietary solution?

I don*t think a "black Box* solution is feasible. A variety of different tools are needed for each situation. Human interaction is also of great importance.

> >Do you perceive this discipline as a "Ph.D. Required" exercise?

Not really. You do need to know enough to learn what you need to know next. (I wore out the door hinges at the UC Berkeley math/stat library on my last project.) A data miner needs to produce practical pragmatic solutions to novel problems. People and management skills are at least as important in order to lead/interact with the local subject matter experts.

> >Do you expect to utilize SAS for any/limited/all aspects of this >exercise?

Yes, extensively, continuously, (almost) exclusively. Nice toolbox!

> >Do you expect a consulting/services firm to provide the expertise to >start/administer such a project? Or do you prefer to embark on this >endeavor independently?

(I have a kid starting graduate school, so I certainly hope consultants are going to do the bullk of data mining!)

I suspect that data mining may be outside the scope of many smaller in- house SAS teams. Data mining can be esoteric even for a very good SAS team. One group can*t do everything.

> >If you are a consultant, do you plan to add this service to your >repertoire?

Yes. Data mining can really leverage the returns from a data warehousing project.

> >Do you see this activity as a macro or micro-mining activity? Based on >hardware? Database Size? Platform/Tool Capability? Other?

By the time the subject matter experts are set up and preliminary data warehouse activities are completed, this can be a fairly significant project. However, I can imagine a small project where everything is already set up and the mining questions are fairly narrow.

> >Are agents/rovers in your future plans?

I did an expert system shell a few years back (in MUMPS) and have been thinking about trying to rebuild it in SAS with a Knowledge Base to impliment a data miner. (I lack only the 300 man-years of spare time to do this.)

> >Is Visualization commonly used in your organization? Is it already >applied in a Data Mining context? If so, for interpretation of >results? Model development? Other?

Visualiztion should be used as often as possible.

> >Where is DM/KDD being applied or do you expect an opportunity for such >an application? Marketing? Sales? Finance? Scientific Research? Other?

Most of what I*ve seen has been used to build a foundation for managment planning. I can imagine data mining being used anywhere, particularlly in marketing research.

> >What do consider to be impediments to starting a DM/KDD project?

Data mining is a new evolving specialty area. Perhaps a current problem is education and awareness, for both the technical and management folks.

> >Is there a need for a SAS Users Special Interest Group for DM/KDD?

Are you suggesting we data mine the SAS community to see if there is a group interested in this?

> >Would you be interested in attending a BOF at SUGI for this purpose?

Sure, thanks for thinking of it and for starting this post.


========================================================== Anthony M. Dymond, Ph.D. Dymond and Associates A SAS Institute Inc. Quality Partner 4417 Catalpa Ct. Concord, CA 94521 (510) 798-0129 (510) 680-1312 (FAX) ========================================================== > >I'd prefer that folks respond to the Discussion Group / SAS-L so that >others can benefit from your insights. > >Thanks! > >Tom Skinner >The views and opinions expressed are those of the author and not >necessarily those of the Intel Corporation. I am not an Intel >spokesperson. > >

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