hierarchical data model

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• Data model — Overview of data modeling context: A data model provides the details of information to be stored, and is of primary use when the final product is the generation of computer software code for an application or the preparation of a functional… …   Wikipedia

• Hierarchical Bayes model — The hierarchical Bayes method is one of the most important topics in modern Bayesian analysis. It is a powerful tool for expressing rich statistical models that more fully reflect a given problem than a simpler model could. Given data x,! and… …   Wikipedia

• Semantic data model — A semantic data model in software engineering is a data modeling technique to define the meaning of data within the context of its interrelationships with other data. A semantic data model is an abstraction which defines how the stored symbols… …   Wikipedia

• Logical data model — A logical data model also referred to as LDM in computer science is a representation of an organization s data, organized in terms of a particular data management technology. When ANSI first laid out the idea of a logical schema (in 1975 [1] ),… …   Wikipedia

• Standard data model — A standard data model is a data model that is widely applied in some industry, and shared amongst competitors to some degree. They are often defined by database vendors or operating system vendors and thus used by default whether suitable for a… …   Wikipedia

• data model — noun a) A result of applying a data modeling to some particular application, using a database model such as relational. b) A database model, such as relational or hierarchical. See Also: schema, information model, entity relationship model …   Wiktionary

• Hierarchical model — redirects here. For the statistics usage, see hierarchical linear modeling. A hierarchical data model is a data model inwhich the data is organized into a tree like structure. The structure allows repeating information using parent/child… …   Wikipedia

• hierarchical database — noun A database whose records are linked in a tree like structure, each child record having a single primary parent. See Also: relational database, hierarchical data model …   Wiktionary

• Data stream clustering — In computer science, data stream clustering is defined as the clustering of data that arrive continuously such as telephone records, multimedia data, financial transactions etc. Data stream clustering is usually studied under the data stream… …   Wikipedia

• Data modeling — The data modeling process. The figure illustrates the way data models are developed and used today. A conceptual data model is developed based on the data requirements for the application that is being developed, perhaps in the context of an… …   Wikipedia

• Hierarchical Temporal Memory — (HTM) is a machine learning model developed by Jeff Hawkins and Dileep George of Numenta, Inc. that models some of the structural and algorithmic properties of the neocortex using an approach somewhat similar to Bayesian networks. HTM model is… …   Wikipedia