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Knowledge discovery


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Posted by Denham on December 08, 1999 at 12:47:25:

In Reply to: Knowledge Elicitation & Resistant Culture posted by allan taylor on December 08, 1999 at 08:48:41:

Greetings Allan,

There are ways to get around elicitation resistance. If you have access to transactional data streams and knowledge of market conditions, you may try and derive the investment rules using statistical induction or model the process by training a neural net. The problem is you will not be able to capture the anticipatory skills and the serendipitious learnings which may be important in this application area.

There are many data mining tools that help you do this in the data and the text world. After you have extracted the patterns, you still have the problem of validation and adaption in an very changing environment or morphing data stream. It is very difficult to make progress when there is resitance, not only do you have to deal with the lack of cooperation, but the elicitation practice in this kind of environment is further often degraded by deliberate deception. Mostly true experts are keen to share their knowledge as it allows them to move onto the next unsolved problem. This need to remain at the leading edge is a powerful intrinsic motivator. Once the implications are spelled out experts with a strong identity are happy to move on. I would be very cautious applying surreptitious induction and modeling to uncover the reasoning and personal secrets, as you are treading on ethical ground here and you forego the chance to profit (in collaboration) in future discoveries if your actions & intentions are ever uncovered.


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