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  • Search: subject:"Data clustering"
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Year of publication
Subject
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Data clustering 12 data clustering 9 data mining 6 Cluster analysis 5 Clusteranalyse 5 Regional cluster 5 Regionales Cluster 5 Theorie 5 Theory 5 Data Clustering 3 Data Mining 3 Data mining 3 Machine learning 3 Artificial intelligence 2 Big Data 2 Big data 2 Correlations 2 Econophysics 2 FCM 2 Interest rates 2 Mathematical programming 2 Mathematische Optimierung 2 Monte Carlo simulation 2 Multi-criteria analysis 2 Multikriterielle Entscheidungsanalyse 2 Portfolio pricing 2 Portfolio selection 2 Portfolio valuation 2 Portfolio-Management 2 Variable annuity 2 biomedicine 2 fuzzy C-means clustering 2 Air pollution 1 Algorithm 1 Algorithms 1 Algorithmus 1 Asset management 1 BHC 1 Bayes-Statistik 1 Bayesian hierarchical clustering 1
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Online availability
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Undetermined 19 Free 7 CC license 2
Type of publication
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Article 26 Book / Working Paper 3
Type of publication (narrower categories)
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Article in journal 9 Aufsatz in Zeitschrift 9 Article 1 case-report 1 research-article 1 review 1
Language
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English 15 Undetermined 14
Author
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Aste, T. 2 Di Matteo, T. 2 Gan, Guojun 2 ALTINEL, Fatih 1 Abderrahim, Elmoataz 1 Albertini, Marcelo 1 Bhat, Chandra R. 1 Bresfelean, Vasile Paul 1 Bucarey, Víctor 1 Devarakonda, Nagaraju 1 Doong, Shing H. 1 Ehlert, Mark 1 Eltawil, Amr Bahgat 1 Eluru, Naveen 1 GOKGOZ, F. Pinar Yetkin 1 GOKGOZ, Ismail Hakki 1 Garg, Kumkum 1 Gheith, Mohamed Samir 1 Güçdemir, Hülya 1 Hao, Zhiyuan 1 He, Yan 1 Heins, Caroline 1 Ho, Shu-chun 1 Hu, Mo 1 Hyde, S.T. 1 Inbarani, H. Hannah 1 Jagadev, Alok Kumar 1 KOC, Ilker 1 Kholladi, Mohamed-Khireddine 1 Koedel, Cory 1 Krubakaran, C. 1 Kumar, S. Selva 1 Labbé, Martine 1 MaJie, Jie 1 Mantegna, R.N. 1 Mello, Rodrigo 1 Mikova, Nadezhda 1 Miyano, Takaya 1 Morales, Juan M. 1 Nayak, Subrat Kumar 1
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Institution
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Economics Department, University of Missouri 1 National Research University Higher School of Economics 1 Volkswirtschaftliche Fakultät, Ludwig-Maximilians-Universität München 1
Published in...
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International Journal of Data Analysis Techniques and Strategies 3 Physica A: Statistical Mechanics and its Applications 3 AStA Advances in Statistical Analysis 1 Advances in Data Analysis and Classification 1 Data Technologies and Applications 1 Electronic commerce research and applications 1 European journal of operational research : EJOR 1 HSE Working papers 1 Industrial Management & Data Systems 1 Insurance / Mathematics & economics 1 Insurance: Mathematics and Economics 1 International Journal of Information Technology and Web Engineering (IJITWE) 1 International Journal of Software Science and Computational Intelligence (IJSSCI) 1 International journal of business and systems research : IJBSR 1 International journal of enterprise network management : IJENM 1 International journal of management and decision making : IJMDM 1 Journal of BRSA Banking and Financial Markets 1 Journal of Choice Modelling 1 Journal of advances in management research : JAMR 1 Logistics 1 MPRA Paper 1 Mathematics and Computers in Simulation (MATCOM) 1 Omega : the international journal of management science 1 Working Papers / Economics Department, University of Missouri 1 foresight 1
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Source
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RePEc 14 ECONIS (ZBW) 9 Other ZBW resources 5 EconStor 1
Showing 1 - 10 of 29
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A multi-stage approach for external trucks and yard cranes scheduling with CO2 emissions considerations in container terminals
Talaat, Ahmed; Gheith, Mohamed Samir; Eltawil, Amr Bahgat - In: Logistics 7 (2023) 4, pp. 1-23
. Conclusions: The integration of data clustering with mathematical modeling demonstrates a notable reduction in emissions …
Persistent link: https://www.econbiz.de/10014454635
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NDPD : an improved initial centroid method of partitional clustering for big data mining
Pandey, Kamlesh Kumar; Shukla, Diwakar - In: Journal of advances in management research : JAMR 20 (2023) 1, pp. 1-34
Persistent link: https://www.econbiz.de/10014304993
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TMsDP: two-stage density peak clustering based on multi-strategy optimization
MaJie, Jie; Hao, Zhiyuan; Hu, Mo - In: Data Technologies and Applications 58 (2022) 3, pp. 380-406
Purpose The density peak clustering algorithm (DP) is proposed to identify cluster centers by two parameters, i.e. ρ value (local density) and δ value (the distance between a point and another point with a higher ρ value). According to the center-identifying principle of the DP, the potential...
Persistent link: https://www.econbiz.de/10015342714
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Pruning pareto optimal solutions for multi-objective portfolio asset management
Petchrompo, Sanyapong; Wannakrairot, Anupong; Parlikad, … - In: European journal of operational research : EJOR 297 (2022) 1, pp. 203-220
Persistent link: https://www.econbiz.de/10013259256
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Artificial intelligence in retail – a systematic literature review
Heins, Caroline - In: foresight 25 (2022) 2, pp. 264-286
Purpose The purpose of this study is to present a systematic literature review of academic peer-reviewed articles in English published between 2005 and 2021. The articles were reviewed based on the following features: research topic, conceptual and theoretical characterization, artificial...
Persistent link: https://www.econbiz.de/10014743761
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Event detection in educational records : an application of big data approaches
Smith, Alan D. - In: International journal of business and systems research … 15 (2021) 3, pp. 271-291
Persistent link: https://www.econbiz.de/10012513957
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An exact dynamic programming approach to segmented isotonic regression
Bucarey, Víctor; Labbé, Martine; Morales, Juan M.; … - In: Omega : the international journal of management science 105 (2021), pp. 1-11
Persistent link: https://www.econbiz.de/10014519440
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A novel learning and prediction Bayesian hierarchical clustering-Dirichlet mixture model for effective data mining
Krubakaran, C.; Venkatachalapathy, K. - In: International journal of enterprise network management … 11 (2020) 3, pp. 251-263
Persistent link: https://www.econbiz.de/10012287240
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Selection of information sources for identifying technology trends: A comparative analysis
Mikova, Nadezhda; Sokolova, Anna - National Research University Higher School of Economics - 2014
Technology foresight is mainly conducted by applying a combination of qualitative and quantitative methods. An evidence-based approach implies covering a wide range of information sources, as well as the active application of quantitative methods for processing. Therefore, it is very important...
Persistent link: https://www.econbiz.de/10010738438
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Classification of Turkish Commercial Banks Under Fuzzy c-Means Clustering
GOKGOZ, Ismail Hakki; ALTINEL, Fatih; GOKGOZ, F. Pinar … - In: Journal of BRSA Banking and Financial Markets 7 (2013) 2, pp. 13-36
As the major actors of credit system, banks have a great importance not just for financial system but also for the whole of economy. Thus, financial soundness o f banks, affected by many financial risks, should be monitored closely. This study focuses on classification of the deposit and...
Persistent link: https://www.econbiz.de/10010742088
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