A Learning Object Organization Model Based on Conceptual Domain

2009 ◽  
Author(s):  
Xin-hua Zhu ◽  
Bo Zhang ◽  
Yuan Zhang
Keyword(s):  
Learning Object ◽  
Organization Model ◽  
Model Based ◽  
Conceptual Domain ◽  
Object Organization

Physical and Logical Security management organization model based on ISO 31000 and ISO 27001

2011 ◽  
Author(s):  
Koldo Pecina ◽  
Ricardo Estremera ◽  
Alfonso Bilbao ◽  
Enrique Bilbao
Keyword(s):  
Security Management ◽  
Organization Model ◽  
Model Based ◽  
Iso 31000 ◽  
Management Organization ◽  
Iso 27001

scholarly journals PENERAPAN PARTICLE SWARM OPTIMIZATION PADA ALGORITMA C 4.5 UNTUK SELEKSI PENERIMAAN KARYAWAN

2018 ◽  
Vol 4 (2) ◽  
pp. 51-59
Author(s):  
Agus Wiyatno
Keyword(s):  
Particle Swarm Optimization ◽  
Decision Tree ◽  
Classification Tree ◽  
Particle Swarm ◽  
Classification Model ◽  
Accurate Information ◽  
Swarm Optimization ◽  
Organization Model ◽  
Goods And Services ◽  
Model Based

The Employees are the most vital element of the company as they had a big contribution and involved almost for all section on how the company will go up and down. Employees and the company affect the efficiency, effectiveness,designing, producing goods and services, oversee the quality, market products, allocating financial resources, and determines the overall goals and strategies of the organization. Therefore, organizations need accurate information and sustainable in order to get suitable candidates with the qualifications of the organization. Model algorithms are widely used in research related to the employee is C4.5 decision tree classification model. Advantages of using adecision tree classification models are the result of the decision tree is simple and easy to understand. Many studies using the method of decision tree and classification tree in predicting the employees selection but results theaccuracy of the resulting value is less accurate. In this study created a C 4.5 Algorithm model and C 4.5 Algorithm model based on particle swarm optimization to get the rule in employees selection and provide a more accuratevalue of accuracy. After testing C 4.5 algorithm model based on particle swarm optimization, Implementation of particle swarm optimization can produce accuracy value of C 4.5 algorithm model from 80.80 % to 85.20 % and theAUC value from 0.878 to 0.891. By the formation the model selection of employees, the company can be helped for employee selection.

An interoperability model based on ontologies for learning object repositories

2016 ◽  
Author(s):  
Sandobal Veron ◽  
Valeria Celeste ◽  
Ale Mariel Alejandra ◽  
Gutierrez Maria de los Milagros
Keyword(s):  
Learning Object ◽  
Model Based ◽  
Learning Object Repositories

Research on manufacturing resource organization model based on ontology

2010 ◽  
Author(s):  
Ning Guo ◽  
Hai-quan Yu ◽  
Tian-guo Jing ◽  
Wen-jian Liu
Keyword(s):  
Organization Model ◽  
Model Based ◽  
Manufacturing Resource ◽  
Resource Organization

Knowledge Points Organization Model based on AND/OR Graph in ICAI

2010 ◽  
Author(s):  
Shuyan Li ◽  
Xiangnan Li ◽  
Lei Wang
Keyword(s):  
Organization Model ◽  
Model Based
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