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Year of publication
Subject
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Mustererkennung 596 Pattern recognition 596 Forecasting model 260 Prognoseverfahren 260 Theorie 249 Theory 248 Künstliche Intelligenz 109 Artificial intelligence 105 Neural networks 90 Neuronale Netze 87 Regression analysis 83 Regressionsanalyse 83 Data Mining 70 Data mining 70 Classification 63 Klassifikation 63 Kreditwürdigkeit 63 Credit rating 61 pattern recognition 58 Support vector machine 50 support vector machine 43 Insolvenz 40 Insolvency 39 machine learning 37 Algorithmus 32 Algorithm 31 Machine learning 30 support vector machines 29 Support vector machines 27 Credit risk 26 Kreditrisiko 26 Time series analysis 23 Zeitreihenanalyse 23 Support Vector Machines 22 Pattern Recognition 21 Support vector regression 21 Börsenkurs 19 Estimation 19 Fuzzy sets 19 SVM 19
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Online availability
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Undetermined 284 Free 163
Type of publication
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Article 509 Book / Working Paper 212 Other 2 Journal 1
Type of publication (narrower categories)
All
Article in journal 384 Aufsatz in Zeitschrift 384 Working Paper 63 Graue Literatur 62 Non-commercial literature 62 Arbeitspapier 59 Aufsatz im Buch 54 Book section 54 Hochschulschrift 28 Thesis 18 Conference paper 8 Konferenzbeitrag 8 Konferenzschrift 8 Article 6 Dissertation u.a. Prüfungsschriften 5 Case study 3 Collection of articles of several authors 3 Collection of articles written by one author 3 Fallstudie 3 Sammelwerk 3 Sammlung 3 Guidebook 2 Ratgeber 2 Aufsatzsammlung 1 Bibliografie enthalten 1 Bibliography included 1 Congress Report 1 Forschungsbericht 1 Interview 1 Konferenzschrift/Kongressbericht 1 Report 1
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Language
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English 602 Undetermined 73 German 46 Spanish 3 Italian 1 Romanian 1
Author
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Härdle, Wolfgang 17 Papadimitriou, Theophilos 11 Gkonkas, Periklēs 10 Schäfer, Dorothea 9 Gründler, Klaus 8 Härdle, Wolfgang K. 8 Krieger, Tommy 7 Moro, Rouslan 7 Plakandaras, Vasilios 7 Sermpinis, Georgios 7 Stasinakis, Charalampos 7 Chen, Shiyi 6 Rüping, Stefan 6 Vojtek, Martin 6 Jeong, Kiho 5 León, Carlos 5 Maldonado, Sebastián 5 Tanino, Tetsuzo 5 Tatsumi, Keiji 5 Brighton, Henry 4 Chi, Guotai 4 Karathanasopoulos, Andreas 4 Lee, Yuh-Jye 4 Lessmann, Stefan 4 Moro, Rouslan A. 4 Theofilatos, Konstantinos 4 Wang, Shouyang 4 Yeh, Yi-Ren 4 Yu, Lean 4 Abedin, Mohammad Zoynul 3 Aliakbari, Saeideh 3 Auria, Laura 3 Berg, Kristi 3 Bioch, Jan C. 3 Bruno, Odemir M. 3 Carrizosa, Emilio 3 Cely, Jorge 3 Clemons, Eric K. 3 Farhat, Daniel 3 Gao, Guangyuan 3
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Institution
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IGI Global 4 Deutsche Arbeitsgemeinschaft für Mustererkennung 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 International Symposium on Synergetics <1979, Elmau> 1 Joint Workshop on Pattern Recognition and Artificial Intelligence <1976, Hyannis, Mass.> 1 Kassel University Press GmbH 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 Österreichische Computer-Gesellschaft / Arbeitskreis für Mustererkennung 1
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Published in...
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European journal of operational research : EJOR 31 International journal of production research 15 Computational economics 14 Physica A: Statistical Mechanics and its Applications 13 Computers & operations research : and their applications to problems of world concern ; an international journal 11 Journal of forecasting 9 SFB 649 discussion paper 9 Technical report / Sonderforschungsbereich 475 Komplexitätsreduktion in Multivariaten Datenstrukturen, Universität Dortmund 8 International journal of production economics 6 Journal of the Operational Research Society : OR 6 Knowledge and information systems : an international journal 6 Computational Management Science : CMS 5 International journal of business information systems : IJBIS 5 Journal of risk and financial management : JRFM 5 Mathematics and Computers in Simulation (MATCOM) 5 Risks : open access journal 5 SpringerLink / Bücher 5 Top : an official journal of the Spanish Society of Statistics and Operations Research 5 Applied optimization and data mining : dedicated to Dr. Panos Pardalos on the occasion of his 60th birthday 4 Decision support systems : DSS ; the international journal 4 Economic modelling 4 Energy economics 4 Fuzzy optimization and decision making : a journal of modeling and computation under uncertainty 4 INFORMS journal on computing : JOC 4 Informatik-Fachberichte 4 International journal of forecasting 4 Journal of information & knowledge management : JIKM 4 CESifo working papers 3 DIW-Wochenbericht : Wirtschaft, Politik, Wissenschaft 3 Discussion papers / Deutsches Institut für Wirtschaftsforschung 3 Econometric Institute research papers 3 International journal of economics and finance 3 International journal of enterprise network management 3 International journal of quality & reliability management 3 International review of financial analysis 3 Journal of Classification 3 Omega : the international journal of management science 3 Research in international business and finance 3 Technological forecasting & social change : an international journal 3 The North American journal of economics and finance : a journal of financial economics studies 3
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Source
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ECONIS (ZBW) 592 RePEc 62 USB Cologne (EcoSocSci) 39 Other ZBW resources 13 EconStor 10 BASE 8
Showing 1 - 50 of 724
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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...
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Pattern recognition of financial institutions' payment behavior
León, Carlos; Barucca, Paolo; Acero, Oscar; Gage, Gerardo - 2020
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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...
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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
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The applications of artificial neural networks, support vector machines, and long-short term memory for stock market prediction
Chhajer, Parshv; Shah, Manan; Kshirsagar, Ameya - In: Decision analytics journal 2 (2022)
The future is unknown and uncertain, but there are ways to predict future events and reap the rewards safely. One such opportunity is the application of machine learning and artificial intelligence for stock market prediction. The stock market is turbulent, yet using artificial intelligence to...
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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
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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...
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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...
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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...
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Pattern labelling of business communication data
Kaya, Muhammed - In: Group decision and negotiation 31 (2022) 6, pp. 1203-1234
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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
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Quantum support vector regression for disability insurance
Djehiche, Boualem; Löfdahl, Björn - In: Risks : open access journal 9 (2021) 12, pp. 1-9
We propose a hybrid classical-quantum approach for modeling transition probabilities in health and disability insurance. The modeling of logistic disability inception probabilities is formulated as a support vector regression problem. Using a quantum feature map, the data are mapped to quantum...
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Using machine learning for measuring democracy : an update
Gründler, Klaus; Krieger, Tommy - 2021
We provide a comprehensive overview of the literature on the measurement of democracy and present an extensive update of the Machine Learning indicator of Gründler and Krieger (2016, European Journal of Political Economy). Four improvements are particularly notable: First, we produce a...
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Bankruptcy prediction of small- and medium-sized enterprises in Poland based on the LDA and SVM methods
Ptak-Chmielewska, Aneta - In: Statistics in transition : an international journal of … 22 (2021) 1, pp. 179-195
The impact the last financial crisis had on the small- and medium-sized enterprises (SMEs) sector varied across countries, affecting them on different levels and to a different extent. The economic situation in Poland during and after the financial crisis was quite stable compared to other EU...
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Explainable Artificial Intelligence: Analyse und Visualisierung des Lernprozesses eines Convolutional Neural Network zur Erkennung deutscher Straßenverkehrsschilder
Maasjosthusmann, Robin; Lehrbass, Frank - 2021
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Application of machine learning in quantitative investment strategies on global stock markets
Grudniewicz, Jan; Ślepaczuk, Robert - 2021
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Using machine learning for measuring democracy : an update
Gründler, Klaus; Krieger, Tommy - 2021
We provide a comprehensive overview of the literature on the measurement of democracy and present an extensive update of the Machine Learning indicator of Gründler and Krieger (2016, European Journal of Political Economy). Four improvements are particularly notable: First, we produce a...
Persistent link: https://ebtypo.dmz1.zbw/10012437859
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Using polls to forecast popular vote share for US presidential elections 2016 and 2020 : an optimal forecast combination based on ensemble empirical model
Easaw, Joshy Z.; Fang, Yongmei; Heravi, Saeed M. - 2021
This study introduces the Ensemble Empirical Mode Decomposition (EEMD) technique to forecasting popular vote share. The technique is useful when using polling data, which is pertinent when none of the main candidates is the incumbent. Our main interest in this study is the short- and long-term...
Persistent link: https://ebtypo.dmz1.zbw/10013177191
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Analytical comparison of clustering techniques for the recognition of communication patterns
Kaya, Muhammed; Schoop, Mareike - In: Group decision and negotiation 31 (2022) 3, pp. 555-589
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Support Vector Machine and Feature Selection Based Optimization Framework for Big Data Security
Saritha, G; Nagalakshmi, V. - 2021
As the Internet is rising at a rapid pace, cyber attacks have also increased as a result. There is a rapid rise in the form and rate of incidence of these attacks. There are several conventional security solutions that exist, but in the case of big data, these solutions do not work well. Instead...
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Support Vector Machine Regression Predicts Energy Consumption and Conservation Attitude in Households
Vojdani, Bahareh; Yegane, Mansour; Lang, Julian - 2021
The purpose of this study is twofold. First, causal mechanisms underlying the effect of changing attitudes on behavioral change are investigated. Second, recommendations are presented to improve the understanding of how attitudes and behavioral patterns of energy consumption in the residential...
Persistent link: https://ebtypo.dmz1.zbw/10013222146
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Comparative Analysis for Fraud Detection Using Logistic Regression, Random Forest and Support Vector Machine
Kumar, Yogesh; Saini, Sameeka; Payal, Ritu - 2021
For easy payment and classless Credit card payment has become very popular these days. From our bank account we can directly pay the amount online. In spite of this easy payment method it has the disadvantage of having frauds. The unauthorized person accessing the bank details of other person is...
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Preference estimation under bounded rationality : identification of attribute non-attendance in stated-choice data using a support vector machines approach
Montoya, Ricardo; Maldonado, Sebastián - In: European journal of operational research : EJOR 304 (2023) 2, pp. 797-812
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Support the creation of appropriate tourism offers by finding a model, using machine learning algorithms, to forecast spending by tourists
Ktona, Ana; Muça, Etleva; Çollaku, Denada; Shahini, Irena - In: International journal of technology marketing : IJTMkt 17 (2023) 1, pp. 30-47
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An unsupervised one-class-classifier support vector machine to simultaneously monitor location and scale of multivariate quality characteristics
Maji, Arijit; Mukherjee, Indrajit - In: International journal of quality & reliability management 40 (2023) 2, pp. 419-454
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Statistical foundations of ecological rationality
Brighton, Henry - In: Economics: The Open-Access, Open-Assessment E-Journal 14 (2020) 2020-2, pp. 1-32
If we reassess the rationality question under the assumption that the uncertainty of the natural world is largely unquantifiable, where do we end up? In this article the author argues that we arrive at a statistical, normative, and cognitive theory of ecological rationality. The main casualty of...
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Forecasting mid-price movement of bitcoin futures using machine learning
Akyildirim, Erdinc; Cepni, Oguzhan; Corbet, Shaen; … - 2020
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User preferences on cloud computing and open innovation : a case study for university employees in Greece
Gkika, Eleni C.; Anagnostopoulos, Theodoros; Ntanos, … - In: Journal of open innovation : technology, market, and … 6 (2020) 2/41, pp. 1-21
Cloud computing hastens technology driven innovation by taking advantage of the speed, the cost-effectiveness, the efficiency and the security that such applications offer. By using cloud computing, public organizations can exploit the economies of scale and innovate both efficiency and rapidly....
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Support vector machine methods and artificial neural networks used for the development of bankruptcy prediction models and their comparison
Horák, Jakub; Vrbka, Jaromir; Suler, Petr - In: Journal of risk and financial management : JRFM 13 (2020) 3/60, pp. 1-15
Bankruptcy prediction is always a topical issue. The activities of all business entities are directly or indirectly affected by various external and internal factors that may influence a company in insolvency and lead to bankruptcy. It is important to find a suitable tool to assess the future...
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Forecasting price spikes in electricity markets
Stathakis, Efthymios; Papadimitriou, Theophilos; … - In: Review of Economic Analysis : REA 12 (2020) 2, pp. 1-24
Electricity markets are considered to be the most volatile amongst commodity markets. The non-storability of electricity and the need for instantaneous balancing of demand and supply can often cause extreme short-lived fluctuations in electricity prices. These fluctuations are termed price...
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Forecasting credit ratings of EU banks
Plakandaras, Vasilios; Gkonkas, Periklēs; … - In: International Journal of Financial Studies : open … 8 (2020) 3/49, pp. 1-15
The aim of this study is to forecast credit ratings of E.U. banking institutions, as dictated by Credit Rating Agencies (CRAs). To do so, we developed alternative forecasting models that determine the non-disclosed criteria used in rating. We compiled a sample of 112 E.U. banking institutions,...
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Bankruptcy prediction and stress quantification using support vector machine : evidence from Indian banks
Shrivastava, Santosh Kumar; Ramudu, P. Janaki - In: Risks : open access journal 8 (2020) 2/52, pp. 1-22
Banks play a vital role in strengthening the financial system of a country; hence, their survival is decisive for the stability of national economies. Therefore, analyzing the survival probability of the banks is an essential and continuing research activity. However, the current literature...
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China's missing pigs : correcting China's hog inventory data using a machine learning approach
Shao, Yongtong; Li, Minghao; Hayes, Dermot James; … - 2020
Persistent link: https://ebtypo.dmz1.zbw/10012387933
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Pattern recognition of financial institutions' payment behavior
León, Carlos; Barucca, Paolo; Acero, Oscar; Gage, Gerardo - In: Latin American journal of central banking : LAJCB 1 (2020) 1/4, pp. 1-14
We present a general supervised machine-learning methodology to represent the payment behavior of financial institutions starting from a database of transactions in the Colombian large-value payment system. The methodology learns a feedforward artificial neural network parameterization to...
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Screening for light crude oil and market comovements
Faseli, Omid - In: International Journal of Research in Business and … 9 (2020) 7, pp. 123-129
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SVM Based Churn Analysis for Telecommunication
Sudharsan, R. - 2020
Data mining is a technical analysis for the massive database with meaning full output. Churn analysis is best applications for the data mining able to determine the behavior of the customer in changing different services. The available marketing tool has the limitation to predict the changing...
Persistent link: https://ebtypo.dmz1.zbw/10012827777
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MLP, CNN, LSTM and Hybrid SVM for Stock Index Forecasting Task to INDU and FTSE100
Zong, Xiangyu - 2020
The aim of this paper is to investigate the Support Vector Machine (SVM), the Binary Gravity Search Algorithm combined Support Vector Machine (BGSA-SVM), the Multi-layer Perceptron (MLP), the Convolution Neural Network (CNN) and the Long Short-Term Memory (LSTM) neural network, when applied to...
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Indian Counterfeit Banknote Detection Using Support Vector Machine
Gopane, Santosh - 2020
Currency counterfeiting is a serious crime that affects a country's finances. The proposed system will be useful to detect counterfeit banknotes in banking systems. India is facing more serious problems due to the increase in fake notes in the market. To get rid of this problem, various fake...
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The predictability of the exchange rate when combining machine learning and fundamental models
Zhang, Yuchen; Hamori, Shigeyuki - In: Journal of risk and financial management : JRFM 13 (2020) 3/48, pp. 1-16
In 1983, Meese and Rogoff showed that traditional economic models developed since the 1970s do not perform better than the random walk in predicting out-of-sample exchange rates when using data obtained after the beginning of the floating rate system. Subsequently, whether traditional economical...
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Forecasting carbon price using a multi-objective least squares support vector machine with mixture kernels
Zhu, Bangzhu; Ye, Shunxin; Wang, Ping; Chevallier, Julien; … - In: Journal of forecasting 41 (2022) 1, pp. 100-117
Persistent link: https://ebtypo.dmz1.zbw/10012796273
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Reducing complexity in multivariate electricity price forecasting
Kohrs, Hendrik; Auer, Benjamin R.; Schuhmacher, Frank - In: International journal of energy sector management 16 (2022) 1, pp. 21-49
Persistent link: https://ebtypo.dmz1.zbw/10012797670
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Unleashing analytics to reduce electricity consumption using incremental clustering algorithm
Chaudhari, Archana Yashodip; Mulay, Preeti - In: International journal of energy sector management 16 (2022) 2, pp. 357-371
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A mixed integer linear programming support vector machine for cost-effective group feature selection : branch-cut-and-price approach
Lee, In Gyu; Yoon, Sang Won; Won, Daehan - In: European journal of operational research : EJOR 299 (2022) 3, pp. 1055-1068
Persistent link: https://ebtypo.dmz1.zbw/10013207225
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Banks to basics! : why banking regulation should focus on equity
Durand, Pierre; LeQuang, Gaëtan - In: European journal of operational research : EJOR 301 (2022) 1, pp. 349-372
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A novel efficient control chart to monitor the mean vector and variance-covariance matrix using support vector machine and tuned kernel function
Azar, Amir; Raissi, Sadigh - In: International journal of services and operations … 43 (2022) 1, pp. 52-71
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Ship detention prediction via feature selection scheme and support vector machine (SVM)
Wu, Shubo; Chen, Xinqiang; Shi, Chaojian; Fu, Junjie; … - In: Maritime policy & management 49 (2022) 1, pp. 140-153
Persistent link: https://ebtypo.dmz1.zbw/10013170199
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Boosted decision trees for credit scoring
Di Persio, Luca; Borelli, Alberto - In: Handbook of research on new challenges and global …, (pp. 270-292). 2022
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Multi-class Bayesian support vector data description with anomalies
Turkoz, Mehmet; Kim, Sangahn - In: Probability methods in business and industry in honor …, (pp. 287-312). 2022
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A novel two-stage hybrid default prediction model with k-means clustering and support vector domain description
Yuan, Kunpeng; Chi, Guotai; Zhou, Ying; Yin, Hailei - In: Research in international business and finance 59 (2022), pp. 1-24
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Robust and distributionally robust optimization models for linear support vector machine
Faccini, Daniel; Maggioni, Francesca; Potra, Florian A. - In: Computers & operations research : and their … 147 (2022), pp. 1-15
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