نتایج جستجو برای: explorative factor analysis method

تعداد نتایج: 4593028  

Analyzing Iran petroleum Industry Experience in Technological Learning in Joint R&D projects The purpose of this study is to review and present the pattern of technological learning in Joint R&D projects in petroleum industry to provide the necessary basis for improving technological learning in petroleum industry. Therefore, technological learning process in JRDs is conducted by using theme an...

2017
Jingrui Ju Luning Liu Yuqiang Feng

In the initial stage of transforming from government to governance for developing countries, collaborative e-governance platforms should be urgently established in different contexts. Though some platforms have been previously applied to various fields, researches on common basic functions analysis and across-organization business process modeling based on a suitable workflow modeling method fo...

2013
Kyung A Jin

The purpose of this study is to understand how the Digital Textbook interface developed in the leading researches affects learner’s motivation. As a result, four out of seven interest factor of Digital textbook interface affect learning motivation. These interest factors are emphatic factor, esthetic factor, explorative factor, and cognitive factor. Experimental factor also is proven to be a po...

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه فردوسی مشهد - دانشکده ادبیات و علوم انسانی دکتر علی شریعتی 1391

this ethnographic case study research was carried out in a private school setting in the context of iran. the research tried to explore the analysis and identity construction of a group of learners and teachers along with the content analysis of books on the basis of four types of commodified, political, national and narrative identities. how english language learners and teachers in an informa...

2015
Emin Aksehirli Bart Goethals Emmanuel Müller

Cluster analysis is widely used for explorative data analysis, however, it is not trivial to select the right method and optimal parameters. Moreover, not all clustering methods can work with raw or dirty data. In this paper, we introduce an interactive data exploration tool, VINeM, which combines interactive mining with unsupervised tools by exploiting an intuitive neighborhood-based visualiza...

Journal: :journal of agricultural science and technology 2013
h. chu w. lu l. zhang

water quality assessment provides a scientific basis for water resources development and management. this case study proposes a factor analysis- hopfield neural network model (fhnn) based on factor analysis method and hopfield neural network method. the results showed that the factor analysis (fa) technique was introduced to identify important water quality parameters. results revealed that bio...

2014
Kay Noyen Felix Wortmann

There is a variety of reasons why travel risk information like travel warnings and guidance of high quality are important. First and foremost, tourists are prone to be under informed about imminent dangers when travelling, as they usually do not have regular access to suitable information outlets and oftentimes do not speak the local language. In case of an emergency, travelers usually do not h...

Journal: :The International Review of Research in Open and Distributed Learning 2018

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