Search Results - subject:"Classification rules"

Variations of particle swarm optimization for obtaining classification rules applied to credit risk in financial institutions of Ecuador

Jimbo Santana, Patricia; Lanzarini, Laura; Bariviera, … - In: Risks 8 (2020) 1, pp. 1-14

important to clearly define rejection/approval criteria. In this direction, classification rules are an appropriate tool … different solutions based on Particle Swarm Optimization (PSO) techniques, which are able to construct a set of classification … rules with the aforementioned characteristics using information from the borrower and the macroeconomic environment at the …

Persistent link: https://www.econbiz.de/10013200538

Variations of particle swarm optimization for obtaining classification rules applied to credit risk in financial institutions of Ecuador

Jimbo Santana, Patricia; Lanzarini, Laura; Bariviera, … - In: Risks : open access journal 8 (2020) 1/2, pp. 1-14

Persistent link: https://www.econbiz.de/10012204352

Empirical measures of symmetry of market sentiments

Moseki, K.K.; Rao, K.S. Madhava - In: Cogent Economics & Finance 6 (2018) 1, pp. 1-28

The analysis of asset return series of equity prices and stock indices is a well-researched problem tackled by economists, business and financial analysts in the last few decades. It has captured the fancy of financial economists, global and local portfolio investment consultants, foreign...

Persistent link: https://www.econbiz.de/10011988828

Empirical measures of symmetry of market sentiments

Moseki, K.K.; Rao, K.S. Madhava - In: Cogent economics & finance 6 (2018) 1, pp. 1-28

Persistent link: https://www.econbiz.de/10011898917

Marketing and business intelligence with help of ant colony algorithm

Seidlova, Romana; Poživil, Jaroslav; Seidl, Jaromir - In: Journal of strategic marketing 27 (2019) 5, pp. 451-463

Persistent link: https://www.econbiz.de/10012202763

Identifying the features of reputable users in eWOM communities by using Particle Swarm Optimization

Martínez-Torres, María del Rocío; Arenas-Marquez, F. J. - In: Technological forecasting & social change : an … 133 (2018), pp. 220-228

Persistent link: https://www.econbiz.de/10011960706

A dynamic rule-induction method for classification in data mining

Qabajeh, Issa; Thabtah, Fadi; Chiclana, Francisco - In: Journal of management analytics 2 (2015) 3, pp. 233-253

Persistent link: https://www.econbiz.de/10011723991

A classification rule reduction algorithm based on significance domains

Almiñana, M.; Escudero, L.; Pérez-Martín, A.; Rabasa, A. - In: TOP: An Official Journal of the Spanish Society of … 22 (2014) 1, pp. 397-418

Many rule systems generated from decision trees (like CART, ID3, C4.5, etc.) or from direct counting frequency methods (like Apriori) are usually non-significant or even contradictory. Nevertheless, most papers on this subject demonstrate that important reductions can be made to generate rule...

Persistent link: https://www.econbiz.de/10010995330

A classification rule reduction algorithm based on significance domains

Almiñana, M.; Escudero, Laureano F.; Pérez-Martín, A.; … - In: Top : transactions in operations research 22 (2014) 1, pp. 397-418

Persistent link: https://www.econbiz.de/10010347723

Mining Supervised Classification Performance Studies: A Meta-Analytic Investigation

Jamain, Adrien; Hand, David - In: Journal of Classification 25 (2008) 1, pp. 87-112

Persistent link: https://www.econbiz.de/10005757507