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Data validation - In computer science, data validation is the process of ensuring that a program operates on clean, correct and useful data. It uses routines that check for correctness or meaningfulness of data that are input to the system.
Abductive validation - Abductive validation is the process of validating a given hypothesis through abductive reasoning. Under this principle, an explanation is valid if it is the best possible explanation of a set of known data.
Cross-validation - In statistics cross-validation is the practice of partitioning a sample of data into subsamples such that analysis is initially performed on a single subsample, while further subsamples are retained "blind" in order for subsequent use in confirming and validating the initial analysis.
Data link - In telecommunication a data link is the means of connecting one location to another for the purpose of transmitting and receiving data. It can also be an assembly, consisting of parts of two data terminal equipments (DTEs) and the interconnecting data circuit, that is controlled by a link protocol enabling data to be transferred from a data source to a data sink.
Syne qua non - A specialist CRO that provides Data Management, Biostatistics, CRF Design, Medical Writing, Quality Assurance and Systems Validation services to the pharmaceutical industry. One of the largest niche Data Management companies in Europe that has experience of handling data from large and complex clinical trials. They have specific experience of managing Internet based data collection systems.
Systemwire xlinkit - integrity management of distributed XML data. Provides a validation rules language and processing engine that allows constraints beyond schema and DTD validation.
DELVE - Data for Evaluating Learning in Valid Experiments - Data for Evaluating Learning Valid Experiments: A standardized environment designed to evaluate the performance of methods that learn relationships based primarily on empirical data. Delve makes it possible for users to compare their learning methods with other methods on many datasets.
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