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Edgar F. Codd. Edgar Frank " Ted " Codd (19 August 1923 – 18 April 2003) was an English computer scientist who, while working for IBM, invented the relational model for database management, the theoretical basis for relational databases and relational database management systems.
Reference data is data used to classify or categorize other data. [1] Typically, they are static or slowly changing over time. Examples of reference data include: Reference data sets are sometimes alternatively referred to as a "controlled vocabulary" [2] or "lookup" data. [3] Reference data differs from master data.
The data set lists values for each of the variables, such as for example height and weight of an object, for each member of the data set. Data sets can also consist of a collection of documents or files. [2] In the open data discipline, data set is the unit to measure the information released in a public open data repository. The European data ...
ISO 8583. ISO 8583 is an international standard for financial transaction card originated interchange messaging. It is the International Organization for Standardization standard for systems that exchange electronic transactions initiated by cardholders using payment cards. ISO 8583 defines a message format and a communication flow so that ...
Customer Support is a range of services to assist customers in making cost effective and correct use of a product. It includes assistance in planning, installation, training, troubleshooting, maintenance, upgrading, and disposal of a product. [1] Regarding technology products such as mobile phones, televisions, computers, software products or ...
The perception of success of the customer service interactions is dependent on employees "who can adjust themselves to the personality of the customer". [2] Customer service is often practiced in a way that reflects the strategies and values of a firm. Good quality customer service is usually measured through customer retention.
A training data set is a data set of examples used during the learning process and is used to fit the parameters (e.g., weights) of, for example, a classifier. [9] [10]For classification tasks, a supervised learning algorithm looks at the training data set to determine, or learn, the optimal combinations of variables that will generate a good predictive model. [11]