When normalizing data structures, attributes congregate around the business keys that identify the grain at which those attributes derive their values. Attributes directly related to a person, ...

In composing a data model, the structures are put together thoughtfully and with intention. Data structures emerge from the application of semantics germane to the universe-of-discourse and filtered ...

The Data Science Lab Data Prep for Machine Learning: Normalization Dr. James McCaffrey of Microsoft Research uses a full code sample and screenshots to show how to programmatically normalize numeric ...

Summary In general, data normalization establishes a foundation for achieving semantic interoperability and creates an infrastructure that enables data sharing and aggregation.

This process of normalization involves converting data from its proprietary format so it can be used by any integrated solution, such as DCIM, BMS, ITSM, ERP and other applications that provide ...

This paper considers inference for both spatial lattice data with possibly irregularly shaped sampling region and non-lattice data, by extending the recently proposed self-normalization (SN) approach ...

Recent study focused on predicting short birth intervals (defined as less than 33 months) among reproductive-age women in ...

The Data Science Lab Data Prep for Machine Learning: Normalization Dr. James McCaffrey of Microsoft Research uses a full code sample and screenshots to show how to programmatically normalize numeric ...