The Data and Models
Linked Data and the Models
... structured data are exposed on the Web us- ing graph-based representation models and protocols such as RDF and ...accessible, data sources reaches critical mass, the abil- ity of potential consumers ...
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SPATIAL DATA MODELS AND SPATIAL DATA
... The selection of appropriate entity types is further plague by the fact that many real world features simply do not fit comfortably into the character of the models available. Feature boundaries, for instance, are ...
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Models of information: The feasibility of measuring the stability of data models
... in data collection and in data model ...the data modelling methods which analysts report using makes any explicit reference to the entity- attribute-relationship inclusion ...the models which ...
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From Enterprise Models to Dimensional Models: A Methodology for Data Warehouse and Data Mart Design
... dimensional models from traditional Entity Relationship ...design data warehouses and data marts based on enterprise data ...the data model into a number of catego- ...transaction ...
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Models for Longitudinal and Clustered Data
... 2.4 Between and Within Groups There’s one more way to look at these models. Let us start from the random- effects model and consider the group means, which follow the model Y ¯ i = a i + ¯ x 0 i β + ¯ e i (3) ...
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Data assimilation for plume models
... al.: Data assimilation for plume models The adjoint equations have also been used to find the thermal state of the Earth’s mantle in the mid-Cretaceous (100 mya) (Bunge et ...variational data ...
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Data revisions and DSGE models
... revised data of all observations to esti- mate DSGE models, but the model is still helpful for real-time ...for data uncertainty when predicting future values of macroeconomic variables subject to ...
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Poisson Models for Count Data
... log-linear models, but more generally in any generalized linear model with canonical link, including linear models for normal data and logistic regression models for binomial ...probit ...
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Models of Knowledge and Big Data
... Big Data models can be differentiated by their origin or mode of generation, their quantitative or qualitative characteristics, “format”, whether or not domain specific, and their main affinity with ...
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Statistical models for rank data
... ME Models to Irish Presiden- tial Opinion Poll Data During the Irish presidential campaign of 1997 several opinion polls were con- ducted in which both the current preferences of the voters and some ...
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Mining Data for Student Models
... student models, a key use of identification with distilled and visualized data is in inference from learning curves, as shown in Figure ...educational data mining community ...
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Wealth inequality: data and models
... The setup presented so far assumes implicitly that the agents are employed workers, who receive some labor income. Entrepreneurs, however, face a dif- ferent decision problem, as their income is related to their ...
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Wealth Inequality: Data and Models
... First, the existence of capital market imperfections induces workers that have entrepreneurial ideas to accumulate more wealth to reach minimal capital re- quirements. Second, in the presence of costly financial ...
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8. Enterprise Data Models
... 8.1.3 What will I Learn ? Enterprise Data Models are very useful because they help to establishing ‘A Single Version of the Truth’. For example, it is common for organisations to have multiple occurrences ...
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Data Analysis: Models and Algorithms
... Abstract Data analysis has many facets, ranging from statistics to ...basic models and algorithms for data analysis are ...and data mining methods are ...
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MODELS FOR PANEL DATA Q
... a data bank that contains national income data on 188 countries for over 50 ...longitudinal data sets contain observations on thousands of individuals or families, each observed at several points in ...
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Data Analysis and Effectiveness Models
... ready data are available and the terms efficiency and effectiveness modeling are introduced to distin- guish the two ...classify models that use multivariate relationships to predict manufacturing ...Such ...
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Data Models in Learning Analytics
... the data model. The CAM data model and the IMS Caliper data model focus their model on the learning ...Streams data model and the Learning Registry Paradata the main element is the learning ...
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Poisson models for simulated data
... Overdispersion is often encountered when fitting very simple parametric models, such as those based on the Poisson distribution. The Poisson distribution has one free parameter and does not allow for the variance ...
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Multilevel Models for Longitudinal Data
... Figure 17: Power test performed on the slope of the simulated linear regression model for different slopes One advantage of this new method is that each individual is represented by one number: the slope of a linear ...
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