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2021
μ-GA is developed by David L. Carroll and last updated on 2 April 2001. The version 1.7.1a is used, but the present version of the GA driver is v. 1.7.1b with small comment updates on 2 December 2020, available at: https://cuaerospace.com/products-services/genetic-algorithm/ga-drive-free-download.
Park, Sojung, Park, Seon-Ki
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μ-GA is developed by David L. Carroll and last updated on 2 April 2001. The version 1.7.1a is used, but the present version of the GA driver is v. 1.7.1b with small comment updates on 2 December 2020, available at: https://cuaerospace.com/products-services/genetic-algorithm/ga-drive-free-download.
Park, Sojung, Park, Seon-Ki
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Linking data to models: data regression
Nature Reviews Molecular Cell Biology, 2006Mathematical models are an essential tool in systems biology, linking the behaviour of a system to the interactions between its components. Parameters in empirical mathematical models must be determined using experimental data, a process called regression.
Khuloud, Jaqaman, Gaudenz, Danuser
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Common Data Model for Healthcare Data
2018 9th International Conference on Computing, Communication and Networking Technologies (ICCCNT), 2018There is a huge volume of data made openly available to the masses on Government data sites such as the www.data.gov.in. However, it is very difficult to make sense between data from two different data sets or different domains. As a result a lot of time is spent in just collecting and linking this data from various sources before it can be put to use.
Umair Khan +3 more
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Data modeling styles in data warehousing
2014 37th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO), 2014The paper presents a coordinated set of data modeling styles relevant for data warehouse design in the context of relational databases. The scope of presented models covers: a) entity relationship models of existing relational DB sources, b) logical data vault model for integrated enterprise data warehouses as a system of records, c) dimensional fact ...
Jovanovic, Vladan +2 more
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1987
The censored normal regression model considered by Tobin (1958), also commonly known as the ‘tobit’ model, is the following: $$y_i^* = \beta {x_i} + {u_i}.\quad {u_i} \sim IN(0,{\sigma ^2})$$ The observed y i are related to y i * according to the relationship $$\eqalign{ & {y_i} = y_i^*\quad if\,y_i^* > {y_0} \cr & = {y_0}\quad \;\quad ...
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The censored normal regression model considered by Tobin (1958), also commonly known as the ‘tobit’ model, is the following: $$y_i^* = \beta {x_i} + {u_i}.\quad {u_i} \sim IN(0,{\sigma ^2})$$ The observed y i are related to y i * according to the relationship $$\eqalign{ & {y_i} = y_i^*\quad if\,y_i^* > {y_0} \cr & = {y_0}\quad \;\quad ...
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Data Dictionary und Data Modeler
1998Das Data Dictionary (DDIC) enthalt alle Informationen uber Struktur, Bezeichnungen und Be-ziehungen von Daten des R/3-Systems. Das Data Dictionary verwaltet keinerlei Nutzdaten, Son-dern nur sog, Metadaten. Andereseits wird es-wie die Nutzdaten auch-in der R/3-Datenbank abgelegt.
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Models AND data; data AND models
Journal of Contaminant Hydrology, 2003David, Lerner +3 more
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2002
Despite extensive changes in technology and methodology, anecdotal and empirical evidence (e.g., Davis et al., 1997) consistently suggests that communication and problem-solving skills are fundamental to the success of an IT professional. As two of the most valued skills in an IT graduate, they should be essential components of an effective education ...
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Despite extensive changes in technology and methodology, anecdotal and empirical evidence (e.g., Davis et al., 1997) consistently suggests that communication and problem-solving skills are fundamental to the success of an IT professional. As two of the most valued skills in an IT graduate, they should be essential components of an effective education ...
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Proceedings of the 1988 ACM sixteenth annual conference on Computer science - CSC '88, 1988
Data modeling, in a sense, is an attempt to bring order out of chaos. The data requirements of a system normally consist of an unstructured collection of various types of data descriptions. The aim is to produce from these an understandable, precise, and complete representation of the data requirements.
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Data modeling, in a sense, is an attempt to bring order out of chaos. The data requirements of a system normally consist of an unstructured collection of various types of data descriptions. The aim is to produce from these an understandable, precise, and complete representation of the data requirements.
openaire +1 more source