×
The internal search function is temporarily non-functional. The current search engine is no longer viable and we are researching alternatives.
As a stop gap measure, we are using Google's custom search engine service.
If you know of an easy to use, open source, search engine ... please contact support@midrange.com.
On 03-Dec-2013 06:42 -0800, Charles Wilt wrote:
On 02-Dec-2013 12:12 -0800, Charles Wilt wrote:
<<SNIP>> In particular, I'm interested in running some analysis in
near real time at the order line item level; possibly with models
built offline
<<SNIP>>
<<SNIP>> Basically, I have a requirement: Identify "suspicious"
orders which include orders of unusual size, orders deviating
substantially from a normal pattern, and orders of unusual
frequency.
<<SNIP>>
I am not sure if the following scheme might be useful to achieve the
requirements in the described scenario?:
Create an actual or effective Materialized Query Table (MQT) that is
a summary of the historical data using desired aggregates. Use that
somewhat static data as reference-data for effecting the sanity-check of
the attributes of the new data\order. Schedule a refresh of the
summary-data after some period of time or number of additions [or
changes] to the [apparently historical] detail-data, or after some
deviation that is deemed acceptable to be applied to the detail-data.
As an Amazon Associate we earn from qualifying purchases.
This mailing list archive is Copyright 1997-2024 by midrange.com and David Gibbs as a compilation work. Use of the archive is restricted to research of a business or technical nature. Any other uses are prohibited. Full details are available on our policy page. If you have questions about this, please contact
[javascript protected email address].
Operating expenses for this site are earned using the Amazon Associate program and Google Adsense.