hierarchical model - определение. Что такое hierarchical model
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Что (кто) такое hierarchical model - определение

TREE-LIKE DATABASE MODEL
Hierarchical database; Hierarchical data model; List of hierarchical database management systems; Tree database; Hierarchical database management system; Hierarchical models; Hierarchical data; Hierarchical model
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Hierarchical database model         
A hierarchical database model is a data model in which the data are organized into a tree-like structure. The data are stored as records which are connected to one another through links.
Hierarchical model–view–controller         
  • PAC]].
SOFTWARE DESIGN PATTERN
HMVC; Hierarchical model-view-controller
Hierarchical model–view–controller (HMVC) is a software architectural pattern, a variation of model–view–controller (MVC) similar to presentation–abstraction–control (PAC), that was published in 2000 in an article in JavaWorld Magazine, the authors apparently unaware of PAC, which was published 13 years earlier.
Model of hierarchical complexity         
INFORMATION SCIENCE FRAMEWORK FOR SCORING HOW COMPLEX A BEHAVIOR IS BASED ON MATHEMATICAL PRINCIPLES FOR HOW THE INFORMATION IS ORGANIZED.
Model of Hierarchical Complexity; Hierarchical complexity
The model of hierarchical complexity (MHC) is a framework for scoring how complex a behavior is, such as verbal reasoning or other cognitive tasks.Robinson, 2013 It quantifies the order of hierarchical complexity of a task based on mathematical principles of how the information is organized, in terms of information science.
hierarchical database         
<database> A kind of database management system that links records together like a family tree such that each record type has only one owner, e.g. an order is owned by only one customer. Hierarchical structures were widely used in the first mainframe database management systems. However, due to their restrictions, they often cannot be used to relate structures that exist in the real world.
Hierarchical internetworking model         
COMPUTER NETWORK DESIGN MODEL
Cisco Hierarchical Model
The Hierarchical internetworking model is a three-layer model for network design first proposed by Cisco. It divides enterprise networks into three layers: core, distribution, and access layer.
Hierarchical hidden Markov model         
  • Illustration of the structure of a HHMM. Gray lines show vertical transitions. The horizontal transitions are shown as black lines. The light gray circles are the internal states and the dark gray circles are the terminal states that returns control to the activating state. The production states are not shown in this figure.
Hierarchical hidden markov model; HHMM
The hierarchical hidden Markov model (HHMM) is a statistical model derived from the hidden Markov model (HMM). In an HHMM, each state is considered to be a self-contained probabilistic model.
Multilevel model         
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STATISTICAL MODEL
Multilevel models; Hierarchical Bayes model; Hierarchical linear modeling; Multilevel analysis; Multi-level analysis; Hierarchical linear modelling; Hierarchical regression; Hierarchical multiple regression; Hierarchical linear model; Hierarchical linear models; Multilevel modelling; Multilevel modeling; Random coefficient model; Multi-level model; Multi-level models; Multilevel regression models
Multilevel models (also known as hierarchical linear models, linear mixed-effect model, mixed models, nested data models, random coefficient, random-effects models, random parameter models, or split-plot designs) are statistical models of parameters that vary at more than one level. An example could be a model of student performance that contains measures for individual students as well as measures for classrooms within which the students are grouped.
Hierarchical generalized linear model         
User:Randomvariables/Hierarchical generalized linear models
In statistics, hierarchical generalized linear models extend generalized linear models by relaxing the assumption that error components are independent. This allows models to be built in situations where more than one error term is necessary and also allows for dependencies between error terms.
Hierarchical clustering         
  • R]]). [https://cran.r-project.org/web/packages/dendextend/vignettes/Cluster_Analysis.html Source]
  • Orange data mining suite]].
METHOD OF CLUSTER ANALYSIS WHICH SEEKS TO BUILD A HIERARCHY OF CLUSTERS
Hierarchical Clustering; Agglomerative hierarchical clustering; Hierarchical Cluster Analysis; Hierarchical cluster analysis; SLINK; Agglomerative clustering; Divisive clustering; Hierarchical agglomerative clustering
In data mining and statistics, hierarchical clustering (also called hierarchical cluster analysis or HCA) is a method of cluster analysis that seeks to build a hierarchy of clusters. Strategies for hierarchical clustering generally fall into two categories:
Bayesian hierarchical modeling         
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Draft:Bayesian hierarchical modeling
Bayesian hierarchical modelling is a statistical model written in multiple levels (hierarchical form) that estimates the parameters of the posterior distribution using the Bayesian method.Allenby, Rossi, McCulloch (January 2005).

Википедия

Hierarchical database model

A hierarchical database model is a data model in which the data are organized into a tree-like structure. The data are stored as records which are connected to one another through links. A record is a collection of fields, with each field containing only one value. The type of a record defines which fields the record contains.

The hierarchical database model mandates that each child record has only one parent, whereas each parent record can have one or more child records. In order to retrieve data from a hierarchical database, the whole tree needs to be traversed starting from the root node. This model is recognized as the first database model created by IBM in the 1960s.