scholarly journals Multi-year data-model evaluation reveals the importance of nutrient availability over climate in arctic ecosystem C dynamics

2020 ◽  
Vol 15 (9) ◽  
pp. 094007
Author(s):  
Efrén López-Blanco ◽  
Marcin Jackowicz-Korczynski ◽  
Mikhail Mastepanov ◽  
Kirstine Skov ◽  
Andreas Westergaard-Nielsen ◽  
...  
Keyword(s):  
Nutrient Availability ◽  
Data Model ◽  
Model Evaluation ◽  
Arctic Ecosystem ◽  
C Dynamics

scholarly journals Exploratory analysis on prediction of loan privilege for customers using random forest

2018 ◽  
Vol 7 (2.21) ◽  
pp. 339 ◽  
Author(s):  
K Ulaga Priya ◽  
S Pushpa ◽  
K Kalaivani ◽  
A Sartiha
Keyword(s):  
Machine Learning ◽  
Random Forest ◽  
Data Model ◽  
Model Evaluation ◽  
Banking Industry ◽  
Performance Parameters ◽  
Training Set ◽  
Test Set ◽  
Learning Technique ◽  
Analytical Processing

In Banking Industry loan Processing is a tedious task in identifying the default customers. Manual prediction of default customers might turn into a bad loan in future. Banks possess huge volume of behavioral data from which they are unable to make a judgement about prediction of loan defaulters. Modern techniques like Machine Learning will help to do analytical processing using Supervised Learning and Unsupervised Learning Technique. A data model for predicting default customers using Random forest Technique has been proposed. Data model Evaluation is done on training set and based on the performance parameters final prediction is done on the Test set. This is an evident that Random Forest technique will help the bank to predict the loan Defaulters with utmost accuracy.  

On user criteria for data model evaluation

1976 ◽  
Vol 1 (4) ◽  
pp. 370-387 ◽  
Author(s):  
William C. McGee
Keyword(s):  
Data Model ◽  
Model Evaluation

scholarly journals Evaluating model outputs using integrated global speleothem records of climate change since the last glacial

2019 ◽  
Author(s):  
Laia Comas-Bru ◽  
Sandy P. Harrison ◽  
Martin Werner ◽  
Kira Rehfeld ◽  
Nick Scroxton ◽  
...  
Keyword(s):  
Data Model ◽  
Model Evaluation ◽  
Time Window ◽  
Traditional Approach ◽  
Control Period ◽  
Coupled Model ◽  
Circulation Model ◽  
Isotopic Data ◽  
Model Comparisons ◽  
Environmental Controls

Abstract. Although quantitative isotopic data from speleothems has been used to evaluate isotope-enabled model simulations, currently no consensus exists regarding the most appropriate methodology through which achieve this. A number of modelling groups will be running isotope-enabled palaeoclimate simulations in the framework of the Coupled Model Intercomparison Project Phase 6, so it is timely to evaluate different approaches to use the speleothem data for data-model comparisons. Here, we accomplish this using 456 globally-distributed speleothem δ18O records from an updated version of the Speleothem Isotopes Synthesis and Analysis (SISAL) database and palaeoclimate simulations generated using the ECHAM5-wiso isotope-enabled atmospheric circulation model. We show that the SISAL records reproduce the first-order spatial patterns of isotopic variability in the modern day, strongly supporting the application of this dataset for evaluating model-derived isotope variability into the past. However, the discontinuous nature of many speleothem records complicates procuring large numbers of records if data-model comparisons are made using the traditional approach of comparing anomalies between a control period and a given palaeoclimate experiment. To circumvent this issue, we illustrate techniques through which the absolute isotopic values during any time period could be used for model evaluation. Specifically, we show that speleothem isotope records allow an assessment of a model’s ability to simulate spatial isotopic trends and the degree to which the model reproduces the observed environmental controls of isotopic spatial variability. Our analyses provide a protocol for using speleothem isotopic data for model evaluation, including screening the observations, the optimum period for the modern observational baseline, and the selection of an appropriate time-window for creating means of the isotope data for palaeo time slices.

scholarly journals Evaluating model outputs using integrated global speleothem records of climate change since the last glacial

2019 ◽  
Vol 15 (4) ◽  
pp. 1557-1579 ◽  
Author(s):  
Laia Comas-Bru ◽  
Sandy P. Harrison ◽  
Martin Werner ◽  
Kira Rehfeld ◽  
Nick Scroxton ◽  
...  
Keyword(s):  
Data Model ◽  
Model Evaluation ◽  
Time Window ◽  
Traditional Approach ◽  
Control Period ◽  
Coupled Model ◽  
Circulation Model ◽  
Model Comparisons ◽  
Isotope Data ◽  
The Impact

Abstract. Although quantitative isotope data from speleothems has been used to evaluate isotope-enabled model simulations, currently no consensus exists regarding the most appropriate methodology through which to achieve this. A number of modelling groups will be running isotope-enabled palaeoclimate simulations in the framework of the Coupled Model Intercomparison Project Phase 6, so it is timely to evaluate different approaches to using the speleothem data for data–model comparisons. Here, we illustrate this using 456 globally distributed speleothem δ18O records from an updated version of the Speleothem Isotopes Synthesis and Analysis (SISAL) database and palaeoclimate simulations generated using the ECHAM5-wiso isotope-enabled atmospheric circulation model. We show that the SISAL records reproduce the first-order spatial patterns of isotopic variability in the modern day, strongly supporting the application of this dataset for evaluating model-derived isotope variability into the past. However, the discontinuous nature of many speleothem records complicates the process of procuring large numbers of records if data–model comparisons are made using the traditional approach of comparing anomalies between a control period and a given palaeoclimate experiment. To circumvent this issue, we illustrate techniques through which the absolute isotope values during any time period could be used for model evaluation. Specifically, we show that speleothem isotope records allow an assessment of a model's ability to simulate spatial isotopic trends. Our analyses provide a protocol for using speleothem isotope data for model evaluation, including screening the observations to take into account the impact of speleothem mineralogy on δ18O values, the optimum period for the modern observational baseline and the selection of an appropriate time window for creating means of the isotope data for palaeo-time-slices.

Post Data Model Evaluation

1974 ◽  
Vol 56 (2) ◽  
pp. 245 ◽  
Author(s):  
G. G. Judge ◽  
M. E. Bock ◽  
T. A. Yancey
Keyword(s):  
Data Model ◽  
Model Evaluation

scholarly journals Exploring Methods for Linked Data Model Evaluation in Practice

2020 ◽  
Vol 20 (1) ◽  
pp. 65-89
Author(s):  
Robin Elizabeth Desmeules ◽  
Clara Turp ◽  
Andrew Senior
Keyword(s):  
Data Model ◽  
Model Evaluation ◽  
Linked Data

Decision Making in Team Sports: Data, model and applied perspective

2008 ◽  
Author(s):  
Pedro J. M. Passos ◽  
Duarte Araujo ◽  
Keith Davids ◽  
Ana Diniz ◽  
Luis Gouveia ◽  
...  
Keyword(s):  
Decision Making ◽  
Data Model ◽  
Team Sports ◽  
Sports Data

A Qualified Assertion Database for the History of Places

2019 ◽  
Vol 13 (1-2) ◽  
pp. 95-115
Author(s):  
Brandon Plewe
Keyword(s):  
Data Model ◽  
Temporal Change ◽  
Religious Congregations ◽  
Historical Gis ◽  
The Past ◽  
Model Based ◽  
Complex Information ◽  
Invaluable Tool ◽  
History Of ◽  
The Rich

Historical place databases can be an invaluable tool for capturing the rich meaning of past places. However, this richness presents obstacles to success: the daunting need to simultaneously represent complex information such as temporal change, uncertainty, relationships, and thorough sourcing has been an obstacle to historical GIS in the past. The Qualified Assertion Model developed in this paper can represent a variety of historical complexities using a single, simple, flexible data model based on a) documenting assertions of the past world rather than claiming to know the exact truth, and b) qualifying the scope, provenance, quality, and syntactics of those assertions. This model was successfully implemented in a production-strength historical gazetteer of religious congregations, demonstrating its effectiveness and some challenges.

Sign in / Sign up

Export Citation Format

Share Document