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A comparative analysis of K-Nearest Neighbor, Genetic, Support Vector Machine, Decision Tree, and Long Short Term Memory algorithms in machine learning

Bansal, Malti; Goyal, Apoorva; Choudhary, Apoorva - In: Decision analytics journal 3 (2022), pp. 1-21

Machine learning (ML) is a new-age thriving technology, which facilitates computers to read and interpret from the previously present data automatically. It makes use of multiple algorithms to build models, mathematical in nature, and then makes predictions for the new data using the past data...

Persistent link: https://www.econbiz.de/10013339256

Prediction and analysis of customer complaints using machine learning techniques

Alarifi, Ghadah; Rahman, Mst Farjana; Hossain, Md Shamim - In: International journal of e-business research : IJEBR ; … 19 (2023) 1, pp. 1-25

Persistent link: https://www.econbiz.de/10015051113

Support vector machines with evolutionary feature selection for default prediction

Härdle, Wolfgang Karl; Prastyo, Dedy Dwi; Hafner, Christian - 2012

Predicting default probabilities is at the core of credit risk management and is becoming more and more important for banks in order to measure their client's degree of risk, and for firms to operate successfully. The SVM with evolutionary feature selection is applied to the CreditReform...

Persistent link: https://www.econbiz.de/10010318756

BANKRUPTCY PREDICTION BY USING SUPPORT VECTOR MACHINES AND GENETIC ALGORITHMS

Mahdi, Salehi; Neda, Rostami - In: Studies in Business and Economics 8 (2013) 1, pp. 104-114

ratios on accuracy of bankruptcy prediction. In according to some limitations in traditional statistical models, we used two …. Besides, they can decreases accuracy of prediction and may wrong introduce results of the research. Moreover, Support Vector … accuracy of prediction and reduce bankruptcy risk and its heavy cost will be decreased. This research focuses on identifying …

Persistent link: https://www.econbiz.de/10010639278

Forecasting mid-price movement of bitcoin futures using machine learning

Akyildirim, Erdinc; Cepni, Oguzhan; Corbet, Shaen; … - 2020

Persistent link: https://www.econbiz.de/10013041345

A patent search strategy based on machine learning for the emerging field of service robotics

Kreuchauff, Florian Heiko; Korzinov, Vladimir V. - 2015

Emerging technologies are in the core focus of supra-national innovation policies. These strongly rely on credible data bases for being effective and efficient. However, since emerging technologies are not yet part of any official industry, patent or trademark classification systems, delineating...

Persistent link: https://www.econbiz.de/10011342183

On a strategy to develop robust and simple tariffs from motor vehicle insurance data

Christmann, Andreas - 2004

The goals of this paper are twofold: we describe common features in data sets from motor vehicle insurance companies and we investigate a general strategy which exploits the knowledge of such features. The results of the strategy are a basis to develop insurance tariffs. The strategy is applied...

Persistent link: https://www.econbiz.de/10010516923

An intelligent system for business data mining

Huang, Shian-Chang; Wu, Tung-Kuang; Wang, Nan-Yu - In: Global business and finance review 22 (2017) 2, pp. 1-7

Persistent link: https://www.econbiz.de/10011849279

A big data analysis system for financial trading

Huang, Shian-Chang - In: Global business and finance review 22 (2017) 3, pp. 32-44

Persistent link: https://www.econbiz.de/10011849351

Identification of patterns in control charts for processes with statistically correlated noise

Torre Gutiérrez, Héctor de la; Pham, Duc Truong - In: International journal of production research 56 (2018) 4, pp. 1504-1520

Persistent link: https://www.econbiz.de/10011871587

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