EconBiz - Find Economic Literature
    • Logout
    • Change account settings
  • A-Z
  • Beta
  • About EconBiz
  • News
  • Thesaurus (STW)
  • Academic Skills
  • Help
  •  My account 
    • Logout
    • Change account settings
  • Login
EconBiz - Find Economic Literature
Publications Events
Search options
Advanced Search history
My EconBiz
Favorites Loans Reservations Fines
    You are here:
  • Home
  • Search: subject_exact:"Pattern recognition"
Narrow search

Narrow search

Year of publication
Subject
All
Pattern recognition 754 Mustererkennung 735 Theorie 360 Theory 359 Forecasting model 291 Prognoseverfahren 291 Künstliche Intelligenz 190 Artificial intelligence 188 Neural networks 140 Neuronale Netze 136 Regression analysis 114 Regressionsanalyse 114 Klassifikation 102 Classification 101 Algorithmus 99 Algorithm 98 Kreditwürdigkeit 96 Credit rating 95 Data Mining 81 Data mining 81 Support vector machine 70 support vector machine 70 pattern recognition 63 Cluster analysis 60 Clusteranalyse 60 Prognose 59 Forecast 58 Insolvenz 44 machine learning 44 Insolvency 43 Machine learning 42 Mathematical programming 40 Mathematische Optimierung 40 Credit risk 37 Kreditrisiko 37 Support vector machines 37 Time series analysis 35 Zeitreihenanalyse 35 support vector machines 34 Börsenkurs 30
more ... less ...
Online availability
All
Undetermined 373 Free 211 CC license 32
Type of publication
All
Article 641 Book / Working Paper 243 Other 2 Journal 1
Type of publication (narrower categories)
All
Article in journal 489 Aufsatz in Zeitschrift 489 Working Paper 71 Graue Literatur 68 Non-commercial literature 68 Arbeitspapier 66 Aufsatz im Buch 62 Book section 62 Hochschulschrift 29 Thesis 18 Article 10 Conference paper 8 Konferenzbeitrag 8 Konferenzschrift 7 Dissertation u.a. Prüfungsschriften 5 research-article 4 Case study 3 Collection of articles of several authors 3 Collection of articles written by one author 3 Fallstudie 3 Sammelwerk 3 Sammlung 3 viewpoint 3 Guidebook 2 Ratgeber 2 technical-paper 2 Aufsatzsammlung 1 Bibliografie enthalten 1 Bibliography included 1 Congress Report 1 Forschungsbericht 1 Interview 1 Konferenzschrift/Kongressbericht 1 Report 1 conceptual-paper 1 review-article 1
more ... less ...
Language
All
English 764 Undetermined 73 German 47 Spanish 3 Italian 1 Romanian 1
Author
All
Härdle, Wolfgang 26 Hong, Wei-Chiang 14 Schäfer, Dorothea 12 Luo, Jian 10 Papadimitriou, Theophilos 10 Gkonkas, Periklēs 9 Gründler, Klaus 8 Moro, Rouslan 8 Krieger, Tommy 7 Plakandaras, Vasilios 7 Carrizosa, Emilio 6 Chen, Shiyi 6 Rüping, Stefan 6 Sermpinis, Georgios 6 Stasinakis, Charalampos 6 Vojtek, Martin 6 Aparicio, Juan 5 Chi, Guotai 5 Fang, Shu-Cherng 5 Jeong, Kiho 5 León, Carlos 5 Maldonado, Sebastián 5 Tanino, Tetsuzo 5 Tatsumi, Keiji 5 Bioch, Jan C. 4 Brighton, Henry 4 Gao, Zheming 4 Giovanis, Eleftherios 4 Groenen, Patrick J. F. 4 Hashemi, Leila 4 Jasemi, Milad 4 Karathanasopoulos, Andreas 4 Lee, Yuh-Jye 4 Lessmann, Stefan 4 Mahmoodi, Armin 4 Moro, Rouslan A. 4 Theofilatos, Konstantinos 4 Tian, Ye 4 Valero-Carreras, Daniel 4 Yeh, Yi-Ren 4
more ... less ...
Institution
All
Deutsche Arbeitsgemeinschaft für Mustererkennung 3 IGI Global 3 Department of Economics, University of Victoria 2 CESifo 1 Christian-Albrechts-Universität zu Kiel 1 Department of Economics and Business, Universitat Pompeu Fabra 1 Deutsche Bundesbank 1 Deutsches Institut für Wirtschaftsforschung 1 Dr. Rainer Hampp <Firma> 1 Fachbereich Rechts- und Wirtschaftswissenschaften, Technische Universität Darmstadt 1 Faculteit Economie en Bedrijfskunde, Universiteit Gent 1 Fraunhofer IRB-Verlag 1 Fraunhofer-Institut für Experimentelles Software Engineering 1 Gesellschaft für Informatik 1 INSEAD 1 International Symposium on Synergetics <1979, Elmau> 1 Joint Workshop on Pattern Recognition and Artificial Intelligence <1976, Hyannis, Mass.> 1 Konjunkturinstitutet, Government of Sweden 1 National Centre for Econometric Research (NCER) 1 Provozně ekonomická fakulta, Mendelova Univerzita v Brnĕ 1 Seminar für Wirtschafts- und Sozialstatistik, Wirtschafts- und Sozialwissenschaftliche Fakultät 1 Springer International Publishing 1 Università degli Studi di Milano / Dipartimento di Economia Politica e Aziendale 1 Universität Bremen 1 Verband der Wissenschaftlichen Gesellschaften Österreichs 1 Verlag C.H. Beck 1 Volkswirtschaftliche Fakultät, Ludwig-Maximilians-Universität München 1 William Davidson Institute, University of Michigan 1 Würzburg University Press 1 kassel university press 1 Österreichische Computer-Gesellschaft / Arbeitskreis für Mustererkennung 1
more ... less ...
Published in...
All
European journal of operational research : EJOR 33 International journal of production research 18 Computational economics 17 Journal of forecasting 15 Computers & operations research : and their applications to problems of world concern ; an international journal 14 Physica A: Statistical Mechanics and its Applications 13 SFB 649 discussion paper 9 Technical report / Sonderforschungsbereich 475 Komplexitätsreduktion in Multivariaten Datenstrukturen, Universität Dortmund 9 International journal of business information systems : IJBIS 8 Journal of the Operational Research Society : OR 7 Fuzzy optimization and decision making : a journal of modeling and computation under uncertainty 6 Journal of information & knowledge management : JIKM 6 Journal of the Operational Research Society 6 Knowledge and information systems : an international journal 6 Risks : open access journal 6 Computational Management Science : CMS 5 Energy economics 5 Financial innovation : FIN 5 International journal of production economics 5 Journal of risk and financial management : JRFM 5 Mathematics and Computers in Simulation (MATCOM) 5 Research in international business and finance 5 SpringerLink / Bücher 5 Top : transactions in operations research 5 Applied optimization and data mining : dedicated to Dr. Panos Pardalos on the occasion of his 60th birthday 4 Decision analytics journal 4 Decision support systems : DSS ; the international journal 4 Econometric Institute research papers 4 Finance research letters 4 IEEE transactions on engineering management : EM 4 INFORMS journal on computing : JOC 4 Informatik-Fachberichte 4 International journal of enterprise network management 4 International journal of forecasting 4 International journal of information technology and management : IJITM 4 International review of financial analysis 4 Omega : the international journal of management science 4 Technological forecasting & social change : an international journal 4 Annals of operations research 3 CESifo working papers 3
more ... less ...
Source
All
ECONIS (ZBW) 739 RePEc 62 USB Cologne (EcoSocSci) 39 Other ZBW resources 24 EconStor 15 BASE 8
Showing 1 - 50 of 887
Cover Image
Digital identification and pattern recognition capabilities using machine learning methods, navigation systems, and video surveillance
Marchenko, Olena; Viunenko, Oleksandr; Nechai, Ihor - In: Technology audit and production reserves 1 (2024) 2/75, pp. 6-13
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10014497309
Saved in:
Cover Image
Intelligent policy framework : natural resource conservation, knowledge and big data analytics
Xiao, Nina; Qu, Xianhe - In: Journal of innovation & knowledge : JIK 10 (2025) 2, pp. 1-10
In today's context of escalating environmental pressure, traditional methods of natural resource conservation face numerous challenges. The use of big data analytics to support the formulation of environmental policies has become a crucial approach for enhancing the efficiency and scientific...
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015331637
Saved in:
Cover Image
The influence of stress on satiation from products and experiences
Borenstein, Benjamin E.; Nowlan, Luke; Laran, Juliano - In: Journal of business research : JBR 189 (2025), pp. 1-12
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015395494
Saved in:
Cover Image
Unraveling data from an idea management system of 11 radical innovation portfolios: Key lessons and avenues for artificial intelligence integration
Jakobsen, Henning Sejer; Brix, Jacob; Jakobsen, Rune Sejer - In: Journal of Innovation and Entrepreneurship 13 (2024) 1, pp. 1-24
In strategic and radical innovation, the degree of uncertainty and the amount of complexity is much higher compared to 'business as usual'. Therefore, idea management systems are often used to support such innovation processes. An interesting question is what we can learn from studying data in...
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10014519589
Saved in:
Cover Image
Machine learning methods for financial forecasting and trading profitability : evidence during the Russia-Ukraine war
Peng, Yaohao; Souza, João Gabriel de Moraes - In: REGE revista de gestão 31 (2024) 2, pp. 152-165
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015189762
Saved in:
Cover Image
Mixed-integer quadratic optimization and iterative clustering techniques for semi-supervised support vector machines
Burgard, Jan Pablo; Pinheiro, Maria Eduarda; Schmidt, Martin - In: Top : an official journal of the Spanish Society of … 32 (2024) 3, pp. 391-428
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015188200
Saved in:
Cover Image
Adapting support vector optimisation algorithms to textual gender classification
Gomez, Javier; Alfaro, Cesar; Ortega, Felipe; Moguerza, … - In: Top : an official journal of the Spanish Society of … 32 (2024) 3, pp. 463-488
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015188211
Saved in:
Cover Image
Convex support vector regression
Liao, Zhiqiang; Dai, Sheng; Kuosmanen, Timo - In: European journal of operational research : EJOR 313 (2024) 3, pp. 858-870
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10014456645
Saved in:
Cover Image
Novel comparative methodology of hybrid support vector machine with meta-heuristic algorithms to develop an integrated candlestick technical analysis model
Mahmoodi, Armin; Hashemi, Leila; Mahmoodi, Amin; … - In: Journal of capital markets studies 8 (2024) 1, pp. 67-94
Purpose The proposed model has been aimed to predict stock market signals by designing an accurate model. In this sense, the stock market is analysed by the technical analysis of Japanese Candlestick, which is combined by the following meta heuristic algorithms: support vector machine (SVM),...
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015047541
Saved in:
Cover Image
Modeling the effect of population size on banking transaction channels in Nigeria : Grey box vs Support Vector Regression
Bartholomew, Desmond C.; Olewuezi, Ngozi P.; Nwaigwe, … - In: CBN journal of applied statistics 15 (2024) 1, pp. 1-31
This study investigates the effect of Nigeria's population on four selected banking transaction channels. The Nigerian projected population (2022-2027) was used as an input variable for forecasting future volumes of transactions for each channel. The results show that the Support Vector...
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015393855
Saved in:
Cover Image
A hybrid model for forecasting realized volatility based on heterogeneous autoregressive model and support vector regression
Zhuo, Yue; Morimoto, Takayuki - In: Risks : open access journal 12 (2024) 1, pp. 1-16
In this study, we proposed two types of hybrid models based on the heterogeneous autoregressive (HAR) model and support vector regression (SVR) model to forecast realized volatility (RV). The first model is a residual-type model, where the RV is first predicted using the HAR model, and the...
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10014480965
Saved in:
Cover Image
Unraveling data from an idea management system of 11 radical innovation portfolios : key lessons and avenues for artificial intelligence integration
Jakobsen, Henning Sejer; Brix, Jacob; Jakobsen, Rune Sejer - In: Journal of innovation and entrepreneurship : JIE 13 (2024), pp. 1-24
In strategic and radical innovation, the degree of uncertainty and the amount of complexity is much higher compared to 'business as usual'. Therefore, idea management systems are often used to support such innovation processes. An interesting question is what we can learn from studying data in...
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10014497170
Saved in:
Cover Image
Forecasting relative returns for S&P 500 stocks using machine learning
Htet Htet Htun; Biehl, Michael; Petkov, Nicolai - In: Financial innovation : FIN 10 (2024), pp. 1-16
Forecasting changes in stock prices is extremely challenging given that numerous factors cause these prices to fuctuate. The random walk hypothesis and efcient market hypothesis essentially state that it is not possible to systematically, reliably predict future stock prices or forecast changes...
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10014547210
Saved in:
Cover Image
Comparison of improved relevance vector machines for streamflow predictions
Adnan, Rana Muhammad; Mostafa, Reham R.; Dai, Hong-Liang; … - In: Journal of forecasting 43 (2024) 1, pp. 159-181
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10014443193
Saved in:
Cover Image
The volatility mechanism and intelligent fusion forecast of new energy stock prices
Fan, Guo-Feng; Zhang, Ruo-Tong; Cao, Cen-Cen; Peng, Li-Ling - In: Financial innovation : FIN 10 (2024), pp. 1-37
The new energy industry is strongly supported by the state, and accurate forecasting of stock price can lead to better understanding of its development. However, factors such as cost and ease of use of new energy, as well as economic situation and policy environment, have led to continuous...
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10014535574
Saved in:
Cover Image
A hybrid model for stock price prediction based on multi-view heterogeneous data
Long, Wen; Gao, Jing; Bai, Kehan; Lu, Zhichen - In: Financial innovation : FIN 10 (2024), pp. 1-50
Literature shows that both market data and fnancial media impact stock prices; however, using only one kind of data may lead to information bias. Therefore, this study uses market data and news to investigate their joint impact on stock price trends. However, combining these two types of...
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10014536032
Saved in:
Cover Image
Margin optimal classification trees
D'Onofrio, Federico; Grani, Giorgio; Monaci, Marta; … - In: Computers & operations research : an international journal 161 (2024), pp. 1-19
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10014559221
Saved in:
Cover Image
Identifying marriage markets
Bolletta, Ugo; Cherchye, Laurens; Demuynck, Thomas; … - 2024
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015050255
Saved in:
Cover Image
A performance analysis of stochastic processes and machine learning algorithms in stock market prediction
Bouasabah, Mohammed - In: Economies : open access journal 12 (2024) 8, pp. 1-12
In this study, we compare the performance of stochastic processes, namely, the Vasicek, Cox-Ingersoll-Ross (CIR), and geometric Brownian motion (GBM) models, with that of machine learning algorithms, such as Random Forest, Support Vector Machine (SVM), and k-Nearest Neighbors (KNN), for...
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015070753
Saved in:
Cover Image
Nowcasting GDP: what are the gains from machine learning algorithms?
Arro-Cannarsa, Milen; Scheufele, Rolf - 2024
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015044842
Saved in:
Cover Image
A novel fusion Support Vector Machine integrating weak and sphere models for classification challenges with massive data
Pimentel, Jonatha Sousa; Ospina, Raydonal; Ara, Anderson - In: Decision analytics journal 11 (2024), pp. 1-14
The unprecedented growth in data generation has necessitated the adoption of advanced analytical techniques. Support Vector Machine (SVM) is a powerful machine learning tool that has proven invaluable in classifying observations through optimal hyperplane in higher dimensions. Despite their...
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015101975
Saved in:
Cover Image
Financial distress prediction using artificial neural network partial least squares regression support vector machine hybrid model and logit model
Osoolian, Mohammad; Varahrami, Vida; Razavi, Hoda - In: Iranian economic review : journal of University of Tehran 28 (2024) 3, pp. 1022-1049
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015402991
Saved in:
Cover Image
Democracy clusters and patterns of inequality: A k-means approach
Puzon, Klarizze Anne Martin - 2023
This paper employs k-means clustering, a multidimensional pattern recognition method, to categorize countries using information from five Varieties of Democracy indices. K-means country clusters are similar but not entirely identical to both k-medians clusters and arbitrary groups formed using...
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10014477521
Saved in:
Cover Image
Measuring technical efficiency for multi-input multi-output production processes through OneClass Support Vector Machines : a finite-sample study
Moragues, Raul; Aparicio, Juan; Esteve, Miriam - In: Operational research : an international journal 23 (2023) 3, pp. 1-33
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10014364592
Saved in:
Cover Image
A comparative assessment of machine learning algorithms with the Least Absolute Shrinkage and Selection Operator for breast cancer detection and prediction
Hassan, Md. Mehedi; Hassan, Md. Mahedi; Yasmin, Farhana; … - In: Decision analytics journal 7 (2023), pp. 1-17
Breast cancer is the most common life-threatening cancer in women and one of the leading causes of death. Early diagnosis is one of the best defenses against the spread of breast cancer. Machine learning (ML) tools are now available for cancer detection and prediction. This study presents a...
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10014497358
Saved in:
Cover Image
An unsupervised learning-based generalization of Data Envelopment Analysis
Moragues, Raul; Aparicio, Juan; Esteve, Miriam - In: Operations research perspectives 11 (2023), pp. 1-14
In this paper, we introduce an unsupervised machine learning method for production frontier estimation. This new approach satisfies fundamental properties of microeconomics, such as convexity and free disposability (shape constraints). The new method generalizes Data Envelopment Analysis (DEA)...
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10014448520
Saved in:
Cover Image
Is artificial intelligence really more accurate in predicting bankruptcy?
Letkovský, Stanislav; Jeňcová, Sylvia; … - In: International Journal of Financial Studies : open … 12 (2024) 1, pp. 1-19
Predicting bankruptcy within selected industries is crucial because of the potential ripple effects and unique characteristics of those industries. It serves as a risk management tool, guiding various stakeholders in making decisions. While artificial intelligence (AI) has shown high success...
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10014502270
Saved in:
Cover Image
A comparative study of statistical machine learning methods for condition monitoring of electric drive trains in supply chains
Lahmiri, Salim - In: Supply chain analytics 2 (2023), pp. 1-7
Fault detection and identification are critical for the accurate maintenance and management of industrial machinery. In this regard, data-driven condition monitoring models play an important role in machinery fault diagnosis and management. This study investigates the applicability of various...
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10014516481
Saved in:
Cover Image
Application of support vector machine algorithm for early differential diagnosis of prostate cancer
Akinnuwesi, Boluwaji A.; Olayanju, Kehinde A.; … - In: Data science and management : DSM 6 (2023) 1, pp. 1-12
Prostate cancer (PCa) symptoms are commonly confused with benign prostate hyperplasia (BPH), particularly in the early stages due to similarities between symptoms, and in some instances, underdiagnoses. Clinical methods have been utilized to diagnose PCa; however, at the full-blown stage, clinical...
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10014517987
Saved in:
Cover Image
Forecasting stock closing prices with an application to airline company data
Xu, Xu; Zhang, Yixiang; McGrory, Clare Anne; Wu, Jinran; … - In: Data science and management : DSM 6 (2023) 4, pp. 239-246
Forecasting stock market movements is a challenging task from the practitioners' point of view. We explore how model selection via the least absolute shrinkage and selection operator (LASSO) approach can be better used to forecast stock closing prices using real-world datasets of daily stock...
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10014518025
Saved in:
Cover Image
Predict stock prices using supervised learning algorithms and particle swarm optimization algorithm
Bazrkar, Mohammad Javad; Hosseini, Soodeh - In: Computational economics 62 (2023) 1, pp. 165-186
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10014327292
Saved in:
Cover Image
A novel approach for candlestick technical analysis using a combination of the support vector machine and particle swarm optimization
Mahmoodi, Armin; Hashemi, Leila; Jasemi, Milad; … - In: Asian journal of economics and banking : AJEB 7 (2023) 1, pp. 2-24
Purpose - In this research, the main purpose is to use a suitable structure to predict the trading signals of the stock market with high accuracy. For this purpose, two models for the analysis of technical adaptation were used in this study. Design/methodology/approach - It can be seen that...
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10014309150
Saved in:
Cover Image
Quarterly multidimensional poverty estimates in Mexico using machine learning algorithms
Rincón, Ratzanyel - In: Estudios económicos 38 (2023) 1, pp. 3-68
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10014280115
Saved in:
Cover Image
Democracy clusters and patterns of inequality : a k-means approach
Puzon, Klarizze Anne Martin - 2023
This paper employs k-means clustering, a multidimensional pattern recognition method, to categorize countries using information from five Varieties of Democracy indices. K-means country clusters are similar but not entirely identical to both k-medians clusters and arbitrary groups formed using...
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10014290692
Saved in:
Cover Image
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, ebvufind01.dmz1.zbw.eu/10015051113
Saved in:
Cover Image
A Hybrid Forecasting Method for Anticipating Stock Market Trends via a Soft- Thresholding De-noise Model and Support Vector Machine (SVM)
Zhang, Lixuan; Li, Chang; Chen, Lee; Chen, Don; Xiang, Zheng - 2023
Stock market time series are inherently noisy. Although support vector machine has the noise-tolerant property, the noised data still affect the accuracy of classification. Compared with other studies only classify the movements of stock market into up-trend and down-trend which does not concern...
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10014351174
Saved in:
Cover Image
Automated Pattern Recognition of Communication Behaviour in Electronic Business Negotiations
Kaya, Muhammed - 2023
Introduction -- Application of Data Mining Methods for Pattern Recognition in Negotiation Support Systems -- Advanced Maintenance of Data Richness in Business Communication Data – An Evaluation of Dimensionality Reduction Techniques -- Analytical Comparison of Clustering Techniques for the...
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10013518359
Saved in:
Cover Image
Pattern recognition of financial institutions' payment behavior
León, Carlos; Barucca, Paolo; Acero, Oscar; Gage, Gerardo - 2020
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10012320547
Saved in:
Cover Image
Early warning model based on support vector machine ensemble algorithm
He, Sang-sang; Hou, Wen-hui; Chen, Zi-yu; Liu, Hui; … - In: Journal of the Operational Research Society 76 (2025) 3, pp. 411-425
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015325321
Saved in:
Cover Image
Multiple corporate and functional performance feedback and problemistic search
Syrigos, Evangelos; Kostopoulos, Konstantinos C.; … - In: European management review : EMR 22 (2025) 1, pp. 117-132
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015374631
Saved in:
Cover Image
Bitcoin: like a satellite or always hardcore? A core–satellite identification in the cryptocurrency market
Börner, Christoph J.; Hoffmann, Ingo; Krettek, Jonas; … - In: Journal of Asset Management 23 (2022) 4, pp. 310-321
Cryptocurrencies (CCs) have become increasingly interesting for institutional investors' strategic asset allocation and will therefore be a fixed component of professional portfolios in the future. However, this asset class differs from established assets primarily in that it has a higher...
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015202751
Saved in:
Cover Image
Pattern Labelling of Business Communication Data
Kaya, Muhammed-Fatih - In: Group Decision and Negotiation 31 (2022) 6, pp. 1203-1234
Systematic pattern recognition as well as the corresponding description of determined patterns entail numerous challenges in the application context of high-dimensional communication data. These can cause increased effort, especially with regard to machine-based processing concerning the...
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10015125339
Saved in:
Cover Image
Identification of best discrimination surface by mixed-integer semi-definite programming for support vector machine
Tanaka, Katsuhiro; Yamamoto, Rei - In: International journal of financial engineering 9 (2022) 4, pp. 1-16
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10014234343
Saved in:
Cover Image
Bankruptcy prediction using machine learning techniques
Shetty, Shekar; Musa, Mohamed; Brédart, Xavier - In: Journal of risk and financial management : JRFM 15 (2022) 1, pp. 1-10
In this study, we apply several advanced machine learning techniques including extreme gradient boosting (XGBoost), support vector machine (SVM), and a deep neural network to predict bankruptcy using easily obtainable financial data of 3728 Belgian Small and Medium Enterprises (SME’s) during...
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10012814176
Saved in:
Cover Image
Soil Moisture Prediction of Maize by Combining Support Vector Machine and Chaotic Whale Optimization Algorithm
He, Bohao; Jia, Biying; Zhao, Yanghe; Wang, Xu; Mao, Wei; … - 2022
AbstractSoil moisture (SM) of maize has an extremely important impact on the growth and development of maize. Therefore, predicting the SM of maize will become extremely important, guiding the management of agricultural irrigation and water resources. This paper, therefore, proposes a new hybrid...
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10013302274
Saved in:
Cover Image
Robust classification via support vector machines
Asimit, Alexandru V.; Kyriakou, Ioannis; Santoni, Simone; … - In: Risks : open access journal 10 (2022) 8, pp. 1-25
Classification models are very sensitive to data uncertainty, and finding robust classifiers that are less sensitive to data uncertainty has raised great interest in the machine learning literature. This paper aims to construct robust support vector machine classifiers under feature data...
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10013368291
Saved in:
Cover Image
Bilevel hyperparameter optimization for support vector classification : theoretical analysis and a solution method
Li, Qingna; Li, Zhen; Zemkoho, Alain B. - In: Mathematical methods of operations research : ZOR 96 (2022) 3, pp. 315-350
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10013455088
Saved in:
Cover Image
Analysis of machine learning methods in the task of searching duplicates in the software code
Kaliuzhna, Tetiana; Kubiuk, Yevhenii - In: Technology audit and production reserves 4 (2022) 2/66, pp. 6-13
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10013459320
Saved in:
Cover Image
Bitcoin: like a satellite or always hardcore? : a core-satellite identification in the cryptocurrency market
Börner, Christoph J.; Hoffmann, Ingo; Krettek, Jonas; … - In: The journal of asset management : a major new, … 23 (2022) 4, pp. 310-321
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10013391993
Saved in:
Cover Image
Pattern labelling of business communication data
Kaya, Muhammed - In: Group decision and negotiation 31 (2022) 6, pp. 1203-1234
Persistent link: https://www.econbiz.de, ebvufind01.dmz1.zbw.eu/10013447773
Saved in:
  • 1
  • 2
  • 3
  • 4
  • 5
  • 6
  • 7
  • 8
  • 9
  • 10
  • 11
  • Next
  • Last
A service of the
zbw
  • Sitemap
  • Plain language
  • Accessibility
  • Contact us
  • Imprint
  • Privacy

Loading...