What is devising validating and testing of algorithms whois asiandating com
Analysis Services supports multiple approaches to validation of data mining solutions, supporting all phases of the data mining test methodology.Verification and validation are independent procedures that are used together for checking that a product, service, or system meets requirements and specifications and that it fulfills its intended purpose.Verification can be in development, scale-up, or production. Validation is intended to ensure a product, service, or system (or portion thereof, or set thereof) results in a product, service, or system (or portion thereof, or set thereof) that meets the operational needs of the user.For a new development flow or verification flow, validation procedures may involve modeling either flow and using simulations to predict faults or gaps that might lead to invalid or incomplete verification or development of a product, service, or system (or portion thereof, or set thereof).
For example, a model that predicts sales for a particular store based on past sales can be strongly correlated and very accurate, even if that store consistently used the wrong accounting method.
" "Building the right thing" refers back to the user's needs, while "building it right" checks that the specifications are correctly implemented by the system.
In some contexts, it is required to have written requirements for both as well as formal procedures or protocols for determining compliance.
APPLIES TO: SQL Server Analysis Services Azure Analysis Services Validation is the process of assessing how well your mining models perform against real data.
It is important that you validate your mining models by understanding their quality and characteristics before you deploy them into a production environment.
These are critical components of a quality management system such as ISO 9000.