An early warning system approach for the identification of currency crises with data mining techniques

Karahoca, Dilek; Karahoca, Adem; Yavuz, Özerk

doi:10.1007/s00521-012-1206-9

Cited by 10 publications

(50 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Conventional and unconventational forms of data gathering techniques can be applied as, sensor, user, service driven data collection or gathering, internet of things, paper administered surveys, online surveys etc. [46,47,48,49,50,51,61,69].…”

Section: Methodsmentioning

confidence: 99%

“…Later in many forms rules generated with the least error rate and which provides the most proximity to actual results are selected and presented as the distinctive association rules. In the evaluation of this a stochastic backpropagation technique is used in many cases [46,47,48,49,50,51]. Supervised learning and unsupervised learning are two forms of machine learning in data mining.…”

Section: Introductionmentioning

confidence: 99%

“…Following these assignments centroid values for each cluster is updated once new instances with respective attributes are assigned to the associated cluster. J48, JRip, Part, OneR Method, Multilayer Perceptron, Bayesian Networks, Hoeffding Tree, Random Tree, Kmeans have been some of the mostly cited supervised and unsupervised machine learning techniques which utilizes different classification and clustering approaches in literature [46,47,48,49,50,51].…”

Section: Introductionmentioning

confidence: 99%

“…Also in the governmental level results of such studies can be used as a decision support point in making legislative actions and reforms which would provide a legislative framework formed based on the expectations and needs of the art and theatre lovers. With the help of effective and state of the art legislative reforms and actions freedoms of the artists, art lovers and art community can be preserved while preventing barriers for art lovers, art and theatre participation behavior [46,47,48,49,50,51].…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

An Optimization Focused Machine Learning Approach in Analysing Arts Participative Behavior with Fine Arts Education Considerations

Yavuz¹

2021

International Scientific and Vocational Studies Journal

Self Cite

View full text Add to dashboard Cite

Fine arts education constitutes an important value for the development of nations, countries and geographies. In literature it is seen that societies and nations that give importance to fine arts, other art forms with respective education programs and agendas seem to be more developed in the fierce competitive environments. It is a known fact that art forms enhance the creativity of individuals as well as developing questioning skills and empathy. Therefore cultural plans, programs and agendas handled in the cultural ministry or similar levels should always be considered as a chance for investments made for the development of individuals and society at large. Therefore enough budgets for cultural programs should be maintained. Academic and pre-university degree art programs should be designed and formed in response to the changes and developments in the contemporary art world. Graduates should also be prepared in these programs to the career paths that they want to follow in these areas. Understanding the domain of art marketing as well as implementing marketing strategies, plans, programs in every level in this context can be helpful in enlarging the arts market which means creating more jobs and employment opportunities for more actors and actresses. Qualification of these talents should also be supported with academical or nonacademical artistic education forms. In this study theatres located in Istanbul Municipality and theatre participation behavior has been analyzed with recent machine learning trends and approaches available in data mining literature with the aim of enhancing exploratory and confirmatory understanding in such domains as theater, entertainment and art marketing with the aim of providing some insights and ideas to the arts community, leaders and society at large.

show abstract

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

An Optimization Focused Machine Learning Approach in Analysing Arts Participative Behavior with Fine Arts Education Considerations

Yavuz¹

2021

International Scientific and Vocational Studies Journal

Self Cite

View full text Add to dashboard Cite

show abstract

“…A drastic change in the complex biological processes has been shown in recent studies, after which the system shifts rapidly from a stable state to another [ 1 , 2 ]. This tipping point may be better known with respect to the earth climate system [ 3 ] and global finance [ 4 ] but now is applied in other areas gradually such as complex disease [ 5 , 6 ]. In present studies, the disease progression is divided into three parts named normal state, predisease state (tipping point), and disease state, respectively [ 7 ].…”

Section: Introductionmentioning

confidence: 99%

Detecting Early Warning Signal of Influenza A Disease Using Sample-Specific Dynamical Network Biomarkers

Zhu

Gao

Ding

et al. 2018

BioMed Research International

View full text Add to dashboard Cite

Aims/Introduction. Evidences have shown that the deteriorated procession of disease is not a smooth change with time and conditions, in which a critical transition point denoted as predisease state drives the state from normal to disease. Considering individual differences, this paper provides a sample-specific method that constructs an index with individual-specific dynamical network biomarkers (DNB) which are defined as early warning index (EWI) for detecting predisease state of individual sample. Based on microarray data of influenza A disease, 144 genes are selected as DNB and the 7th time period is defined as predisease state. In addition, according to functional analysis of the discovered DNB, it is relevant with experience data, which can illustrate the effectiveness of our sample-specific method.

show abstract

Computational Methods for Analyzing Functional and Effective Brain Network Connectivity Using fMRI

Farahani

Karwowski

2018

Advances in Intelligent Systems and Computing

View full text Add to dashboard Cite

An early warning system approach for the identification of currency crises with data mining techniques

Cited by 10 publications

References 23 publications

An Optimization Focused Machine Learning Approach in Analysing Arts Participative Behavior with Fine Arts Education Considerations

An Optimization Focused Machine Learning Approach in Analysing Arts Participative Behavior with Fine Arts Education Considerations

Detecting Early Warning Signal of Influenza A Disease Using Sample-Specific Dynamical Network Biomarkers

Computational Methods for Analyzing Functional and Effective Brain Network Connectivity Using fMRI

Contact Info

Product

Resources

About