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Principles of Data Mining

Citations

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Cited by:

  1. Mustafa Nizamul Aziz & A.K.M. Monzurul Islam, 2020. "Reviewing Data Mining as an enabling technology for BI," International Journal of Science and Business, IJSAB International, vol. 4(7), pages 46-51.
  2. Wang, Wenjun & Liu, Dong & Liu, Xiao & Pan, Lin, 2013. "Fuzzy overlapping community detection based on local random walk and multidimensional scaling," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(24), pages 6578-6586.
  3. Pooyan Ramezani Besheli & Mehdi Zare & Ramezan Ramezani Umali & Gholamreza Nakhaeezadeh, 2015. "Zoning Iran based on earthquake precursor importance and introducing a main zone using a data-mining process," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 78(2), pages 821-835, September.
  4. Ying-Si Zhao & Yan-Ping Liu & Qing-An Zeng, 2017. "A weight-based item recommendation approach for electronic commerce systems," Electronic Commerce Research, Springer, vol. 17(2), pages 205-226, June.
  5. Aurora Sánchez & Cristian Vidal-Silva & Gabriela Mancilla & Miguel Tupac-Yupanqui & José M. Rubio, 2023. "Sustainable e-Learning by Data Mining—Successful Results in a Chilean University," Sustainability, MDPI, vol. 15(2), pages 1-16, January.
  6. Yili Chen & Congdong Li & Han Wang, 2022. "Big Data and Predictive Analytics for Business Intelligence: A Bibliographic Study (2000–2021)," Forecasting, MDPI, vol. 4(4), pages 1-20, September.
  7. Yi-Chen Chung & Hsien-Ming Chou & Chih-Neng Hung & Chihli Hung, 2021. "Using Textual and Economic Features to Predict the RMB Exchange Rate," Advances in Management and Applied Economics, SCIENPRESS Ltd, vol. 11(6), pages 1-8.
  8. Szymkowiak Marcin & Klimanek Tomasz & Józefowski Tomasz, 2018. "Applying Market Basket Analysis to Official Statistical Data," Econometrics. Advances in Applied Data Analysis, Sciendo, vol. 22(1), pages 39-57, March.
  9. Matthias Schonlau, 2002. "The clustergram: A graph for visualizing hierarchical and nonhierarchical cluster analyses," Stata Journal, StataCorp LP, vol. 2(4), pages 391-402, November.
  10. Chiara Cornalba, 2009. "Clinical and Operational Risk: A Bayesian Approach," Methodology and Computing in Applied Probability, Springer, vol. 11(1), pages 47-63, March.
  11. Malliaris, A.G. & Malliaris, Mary, 2011. "Are foreign currency markets interdependent? evidence from data mining technologies," MPRA Paper 35261, University Library of Munich, Germany.
  12. Rezaei , Pooria & Ebrahimi , Seyed Babak & Azin , Pejman, 2019. "Evaluating the Application of a Financial Early Warning System in the Iranian Banking System," Journal of Money and Economy, Monetary and Banking Research Institute, Central Bank of the Islamic Republic of Iran, vol. 14(2), pages 177-204, April.
  13. Carrizosa, Emilio & Martín-Barragán, Belén & Morales, Dolores Romero, 2011. "Detecting relevant variables and interactions in supervised classification," European Journal of Operational Research, Elsevier, vol. 213(1), pages 260-269, August.
  14. Babaei, Golnoosh & Giudici, Paolo & Raffinetti, Emanuela, 2023. "Explainable FinTech lending," Journal of Economics and Business, Elsevier, vol. 125.
  15. Chen-Yang Cheng, 2014. "Indoor localization algorithm using clustering on signal and coordination pattern," Annals of Operations Research, Springer, vol. 216(1), pages 83-99, May.
  16. Dursun Delen & Marilyn G. Kletke & Jin-Hwa Kim, 2005. "A Scalable Classification Algorithm for Very Large Datasets," Journal of Information & Knowledge Management (JIKM), World Scientific Publishing Co. Pte. Ltd., vol. 4(02), pages 83-94.
  17. Bőgel, György, 2011. "Az adatrobbanás mint közgazdasági jelenség [The data explosion as an economic phenomenon]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(10), pages 877-889.
  18. Junsang Yu & Hayoung Oh, 2023. "AI-Based Degradation Index from the Microstructure Image and Life Prediction Models Based on Bayesian Inference," Sustainability, MDPI, vol. 15(9), pages 1-40, April.
  19. Caruso, Germán & Scartascini, Carlos & Tommasi, Mariano, 2015. "Are we all playing the same game? The economic effects of constitutions depend on the degree of institutionalization," European Journal of Political Economy, Elsevier, vol. 38(C), pages 212-228.
  20. David John A. & Pasteur R. Drew & Ahmad M. Saif & Janning Michael C., 2011. "NFL Prediction using Committees of Artificial Neural Networks," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 7(2), pages 1-15, May.
  21. Adrien Jamain & David Hand, 2008. "Mining Supervised Classification Performance Studies: A Meta-Analytic Investigation," Journal of Classification, Springer;The Classification Society, vol. 25(1), pages 87-112, June.
  22. Renato Bruni, 2007. "Reformulation of the support set selection problem in the logical analysis of data," Annals of Operations Research, Springer, vol. 150(1), pages 79-92, March.
  23. Loebbecke, Claudia & Huyskens, Claudio, 2009. "Development of a model-based netsourcing decision support system using a five-stage methodology," European Journal of Operational Research, Elsevier, vol. 195(3), pages 653-661, June.
  24. Chih-Chiang Wei, 2017. "Nearshore Wave Predictions Using Data Mining Techniques during Typhoons: A Case Study near Taiwan’s Northeastern Coast," Energies, MDPI, vol. 11(1), pages 1-23, December.
  25. Fernandez del Pozo, J. A. & Bielza, C. & Gomez, M., 2005. "A list-based compact representation for large decision tables management," European Journal of Operational Research, Elsevier, vol. 160(3), pages 638-662, February.
  26. Le, Hong Hanh & Viviani, Jean-Laurent, 2018. "Predicting bank failure: An improvement by implementing a machine-learning approach to classical financial ratios," Research in International Business and Finance, Elsevier, vol. 44(C), pages 16-25.
  27. Curtis, Panayiotis G. & Kokotos, Dimitris X., 2008. "A Decision Tree Application in Tourism-based Regional Economic Development," MPRA Paper 25302, University Library of Munich, Germany, revised 26 May 2008.
  28. Christmann, Andreas & Steinwart, Ingo & Hubert, Mia, 2006. "Robust Learning from Bites for Data Mining," Technical Reports 2006,03, Technische Universität Dortmund, Sonderforschungsbereich 475: Komplexitätsreduktion in multivariaten Datenstrukturen.
  29. Fang, Jiali & Jacobsen, Ben & Qin, Yafeng, 2014. "Predictability of the simple technical trading rules: An out-of-sample test," Review of Financial Economics, Elsevier, vol. 23(1), pages 30-45.
  30. Richard Hendra & Aaron Hill, 2019. "Rethinking Response Rates: New Evidence of Little Relationship Between Survey Response Rates and Nonresponse Bias," Evaluation Review, , vol. 43(5), pages 307-330, October.
  31. Li, Hui & Sun, Jie, 2009. "Hybridizing principles of the Electre method with case-based reasoning for data mining: Electre-CBR-I and Electre-CBR-II," European Journal of Operational Research, Elsevier, vol. 197(1), pages 214-224, August.
  32. Patricia E. N. Lutu & Andries P. Engelbrecht, 2013. "Positive-versus-Negative Classification for Model Aggregation in Predictive Data Mining," INFORMS Journal on Computing, INFORMS, vol. 25(4), pages 792-807, November.
  33. Stefan Cristian Gherghina, 2015. "Corporate Governance Ratings and Firm Value: Empirical Evidence from the Bucharest Stock Exchange," International Journal of Economics and Financial Issues, Econjournals, vol. 5(1), pages 97-110.
  34. Jorge Mejia & Shawn Mankad & Anandasivam Gopal, 2019. "A for Effort? Using the Crowd to Identify Moral Hazard in New York City Restaurant Hygiene Inspections," Information Systems Research, INFORMS, vol. 30(4), pages 1363-1386, December.
  35. Marianne Hörlesberger & Ivana Roche & Dominique Besagni & Thomas Scherngell & Claire François & Pascal Cuxac & Edgar Schiebel & Michel Zitt & Dirk Holste, 2013. "A concept for inferring ‘frontier research’ in grant proposals," Scientometrics, Springer;Akadémiai Kiadó, vol. 97(2), pages 129-148, November.
  36. Matevž Kunaver & Árpád Bűrmen & Iztok Fajfar, 2022. "Automatic Grammatical Evolution-Based Optimization of Matrix Factorization Algorithm," Mathematics, MDPI, vol. 10(7), pages 1-22, April.
  37. Hekimoğlu, Mustafa & Sevim, Ismail & Aksezer, Çağlar & Durmuş, İpek, 2019. "Assortment optimization with log-linear demand: Application at a Turkish grocery store," Journal of Retailing and Consumer Services, Elsevier, vol. 50(C), pages 199-214.
  38. Carretero-Campos, C. & Bernaola-Galván, P. & Coronado, A.V. & Carpena, P., 2013. "Improving statistical keyword detection in short texts: Entropic and clustering approaches," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(6), pages 1481-1492.
  39. Ajaya K. Swain & Valeria R. Garza, 2023. "Key Factors in Achieving Service Level Agreements (SLA) for Information Technology (IT) Incident Resolution," Information Systems Frontiers, Springer, vol. 25(2), pages 819-834, April.
  40. Yalcin, Ahmet Selcuk & Kilic, Huseyin Selcuk & Delen, Dursun, 2022. "The use of multi-criteria decision-making methods in business analytics: A comprehensive literature review," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
  41. Marcin Chlebus & Zuzanna Osika, 2020. "Comparison of tree-based models performance in prediction of marketing campaign results using Explainable Artificial Intelligence tools," Working Papers 2020-15, Faculty of Economic Sciences, University of Warsaw.
  42. Adrian Costea, 2011. "Assessing The Performance Of Non-Banking Financial Institutions – A Knowledge Discovery Approach," Annals of University of Craiova - Economic Sciences Series, University of Craiova, Faculty of Economics and Business Administration, vol. 3(39), pages 174-185.
  43. Iyad Suleiman & Maha Arslan & Reda Alhajj & Mick Ridley, 2017. "Prediction Model of School Readiness," Journal of Information & Knowledge Management (JIKM), World Scientific Publishing Co. Pte. Ltd., vol. 16(03), pages 1-55, September.
  44. Balakrishnan, Ramji & Qiu, Xin Ying & Srinivasan, Padmini, 2010. "On the predictive ability of narrative disclosures in annual reports," European Journal of Operational Research, Elsevier, vol. 202(3), pages 789-801, May.
  45. Silvia Figini & Roberto Savona & Marika Vezzoli, 2016. "Corporate Default Prediction Model Averaging: A Normative Linear Pooling Approach," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 23(1-2), pages 6-20, January.
  46. Xue, Puning & Zhou, Zhigang & Fang, Xiumu & Chen, Xin & Liu, Lin & Liu, Yaowen & Liu, Jing, 2017. "Fault detection and operation optimization in district heating substations based on data mining techniques," Applied Energy, Elsevier, vol. 205(C), pages 926-940.
  47. Min-feng Lee & Guey-shya Chen & Shao-pin Lin & Wei-jie Wang, 2022. "A Data Mining Study on House Price in Central Regions of Taiwan Using Education Categorical Data, Environmental Indicators, and House Features Data," Sustainability, MDPI, vol. 14(11), pages 1-15, May.
  48. Adrian Otoiu & Emilia Titan, 2014. "An Alternative Method of Component Aggregation for Computing Multidimensional Well-Being Indicators," International Journal of Economic Sciences, Prague University of Economics and Business, vol. 2014(4), pages 38-52.
  49. Al-Wakeel, Ali & Wu, Jianzhong & Jenkins, Nick, 2017. "k-means based load estimation of domestic smart meter measurements," Applied Energy, Elsevier, vol. 194(C), pages 333-342.
  50. Steven Buigut, 2015. "The Effect of Zimbabwe's Multi-Currency Arrangement on Bilateral Trade: Myth Versus Reality," International Journal of Economics and Financial Issues, Econjournals, vol. 5(3), pages 690-700.
  51. Carrizosa, Emilio & Nogales-Gómez, Amaya & Romero Morales, Dolores, 2017. "Clustering categories in support vector machines," Omega, Elsevier, vol. 66(PA), pages 28-37.
  52. Grant-Muller, Susan & Usher, Mark, 2014. "Intelligent Transport Systems: The propensity for environmental and economic benefits," Technological Forecasting and Social Change, Elsevier, vol. 82(C), pages 149-166.
  53. Mariano Tommasi & Germán Caruso & Carlos Scartascini, 2014. "Are We Playing the Same Game? The Economic Effects of Constitutions Depend on the Degree of Institutionalization," Working Papers 116, Universidad de San Andres, Departamento de Economia, revised Dec 2014.
  54. Rostek Katarzyna, 2010. "Data Analytical Processing in Data Warehouses," Foundations of Management, Sciendo, vol. 2(1), pages 99-116, January.
  55. B. Vindevogel & D. Van Den Poel & G. Wets, 2004. "Why promotion strategies based on market basket analysis do not work," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 04/262, Ghent University, Faculty of Economics and Business Administration.
  56. Robert Till & David Hand, 2003. "Behavioural models of credit card usage," Journal of Applied Statistics, Taylor & Francis Journals, vol. 30(10), pages 1201-1220.
  57. Ladias, Christos & Hasanagas, Nikolaos & Papadopoulou, Eleni, 2011. "Conceptualising ‘macro-regions’: Viewpoints and tools beyond NUTS classification," Studies in Agricultural Economics, Research Institute for Agricultural Economics, vol. 113(2), pages 1-7.
  58. Meisel, Stephan & Mattfeld, Dirk, 2010. "Synergies of Operations Research and Data Mining," European Journal of Operational Research, Elsevier, vol. 206(1), pages 1-10, October.
  59. MARIA Dan Stefan, 2009. "Improving The Quality Of The Decision Making By Using Business Intelligence Solutions," Annals of Faculty of Economics, University of Oradea, Faculty of Economics, vol. 4(1), pages 996-1000, May.
  60. Giudici, Paolo & Raffinetti, Emanuela, 2023. "SAFE Artificial Intelligence in finance," Finance Research Letters, Elsevier, vol. 56(C).
  61. Muyanja, Andrew W. & Atichat, Tanawat & Porter, J. David, 2013. "An experimental study on the effect of pattern recognition parameters on the accuracy of wireless-based task time estimation," International Journal of Production Economics, Elsevier, vol. 144(2), pages 533-545.
  62. Paolo Giudici & Emanuela Raffinetti, 2020. "Lorenz Model Selection," Journal of Classification, Springer;The Classification Society, vol. 37(3), pages 754-768, October.
  63. Mircea Andrei SCRIDON, 2008. "Understanding Customers - Profiling And Segmentation," Management and Marketing Journal, University of Craiova, Faculty of Economics and Business Administration, vol. 6(1), pages 175-184, November.
  64. M. Almiñana & L. Escudero & A. Pérez-Martín & A. Rabasa & L. Santamaría, 2014. "A classification rule reduction algorithm based on significance domains," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 22(1), pages 397-418, April.
  65. Silvia FIGINI & Ron S. KENETT & Silvia SALINI, 2010. "Integrating operational and financial risk assessments," Departmental Working Papers 2010-02, Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano.
  66. Hand, David J., 2009. "Mining the past to determine the future: Problems and possibilities," International Journal of Forecasting, Elsevier, vol. 25(3), pages 441-451, July.
  67. Heo, Wookjae & Lee, Jae Min & Park, Narang & Grable, John E., 2020. "Using Artificial Neural Network techniques to improve the description and prediction of household financial ratios," Journal of Behavioral and Experimental Finance, Elsevier, vol. 25(C).
  68. Ioannis Simaiakis & Hamsa Balakrishnan, 2016. "A Queuing Model of the Airport Departure Process," Transportation Science, INFORMS, vol. 50(1), pages 94-109, February.
  69. Marlene A. Smith, 2015. "Output from Statistical Predictive Models as Input to eLearning Dashboards," Future Internet, MDPI, vol. 7(2), pages 1-14, June.
  70. Leon Bobrowski & Tomasz Łukaszuk & Bengt Lindholm & Peter Stenvinkel & Olof Heimburger & Jonas Axelsson & Peter Bárány & Juan Jesus Carrero & Abdul Rashid Qureshi & Karin Luttropp & Malgorzata Debowsk, 2014. "Selection of Genetic and Phenotypic Features Associated with Inflammatory Status of Patients on Dialysis Using Relaxed Linear Separability Method," PLOS ONE, Public Library of Science, vol. 9(1), pages 1-10, January.
  71. Theodore Trafalis & Indra Adrianto & Michael Richman & S. Lakshmivarahan, 2014. "Machine-learning classifiers for imbalanced tornado data," Computational Management Science, Springer, vol. 11(4), pages 403-418, October.
  72. Xiao Fang & Paul Jen-Hwa Hu & Zhepeng (Lionel) Li & Weiyu Tsai, 2013. "Predicting Adoption Probabilities in Social Networks," Information Systems Research, INFORMS, vol. 24(1), pages 128-145, March.
  73. Yilmaz GOKSEN & Mete EMINAGAOGLU & Onur DOGAN, 2011. "Data mining in medical records for the enhancement of strategic decisions: a case study," Scientific Bulletin - Economic Sciences, University of Pitesti, vol. 10(1), pages 135-145.
  74. Tasadduq Imam, 2021. "Model selection for one‐day‐ahead AUD/USD, AUD/EUR forecasts," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(2), pages 1808-1824, April.
  75. Sigrist, L. & Lobato, E. & Rouco, L. & Gazzino, M. & Cantu, M., 2017. "Economic assessment of smart grid initiatives for island power systems," Applied Energy, Elsevier, vol. 189(C), pages 403-415.
  76. Li, Francis G.N. & Bataille, Chris & Pye, Steve & O'Sullivan, Aidan, 2019. "Prospects for energy economy modelling with big data: Hype, eliminating blind spots, or revolutionising the state of the art?," Applied Energy, Elsevier, vol. 239(C), pages 991-1002.
  77. B. Vindevogel & D. Van Den Poel & G. Wets, 2004. "Dynamic cross-sales effects of price promotions: Empirical generalizations," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 04/276, Ghent University, Faculty of Economics and Business Administration.
  78. Christmann, Andreas & Steinwart, Ingo & Hubert, Mia, 2007. "Robust learning from bites for data mining," Computational Statistics & Data Analysis, Elsevier, vol. 52(1), pages 347-361, September.
  79. James T. Bang & Atin Basuchoudhary & Aniruddha Mitra, 2021. "Validating Game-Theoretic Models of Terrorism: Insights from Machine Learning," Games, MDPI, vol. 12(3), pages 1-20, June.
  80. González-Salazar, Constantino & Stephens, Christopher R. & Marquet, Pablo A., 2013. "Comparing the relative contributions of biotic and abiotic factors as mediators of species’ distributions," Ecological Modelling, Elsevier, vol. 248(C), pages 57-70.
  81. Izabela Rojek, 2014. "Models for Better Environmental Intelligent Management within Water Supply Systems," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(12), pages 3875-3890, September.
  82. Romildo Brito Neto & Celso Santos & Kevin Mulligan & Lucia Barbato, 2016. "Spatial and temporal water-level variations in the Texas portion of the Ogallala Aquifer," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 80(1), pages 351-365, January.
  83. Onur Doğan & Hakan Aşan & Ejder Ayç, 2015. "Use Of Data Mining Techniques In Advance Decision Making Processes In A Local Firm," European Journal of Business and Economics, Central Bohemia University, vol. 10(2), pages 6821:10-682, January.
  84. Masoumeh Vali & Khodakaram Salimifard & Amir H. Gandomi & Thierry J. Chaussalet, 2022. "Care process optimization in a cardiovascular hospital: an integration of simulation–optimization and data mining," Annals of Operations Research, Springer, vol. 318(1), pages 685-712, November.
  85. Pilar Gargallo & José María Moreno-Jiménez & Manuel Salvador, 2007. "AHP-Group Decision Making: A Bayesian Approach Based on Mixtures for Group Pattern Identification," Group Decision and Negotiation, Springer, vol. 16(6), pages 485-506, November.
  86. Matthias Schonlau, 2004. "Visualizing non-hierarchical and hierarchical cluster analyses with clustergrams," Computational Statistics, Springer, vol. 19(1), pages 95-111, February.
  87. Feyza Gürbüz & İkbal Eski & Berrin Denizhan & Cihan Dağlı, 2019. "Prediction of damage parameters of a 3PL company via data mining and neural networks," Journal of Intelligent Manufacturing, Springer, vol. 30(3), pages 1437-1449, March.
  88. Tzu-An Chiang & Zhen-Hua Che & Chao-Wei Hung, 2023. "A K-Means Clustering and the Prim’s Minimum Spanning Tree-Based Optimal Picking-List Consolidation and Assignment Methodology for Achieving the Sustainable Warehouse Operations," Sustainability, MDPI, vol. 15(4), pages 1-15, February.
  89. Doumpos, Michael & Zopounidis, Constantin, 2011. "Preference disaggregation and statistical learning for multicriteria decision support: A review," European Journal of Operational Research, Elsevier, vol. 209(3), pages 203-214, March.
  90. Christian Handke & Lucie Guibault & Joan‐Josep Vallbé, 2021. "Copyright's impact on data mining in academic research," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 42(8), pages 1999-2016, December.
  91. Zeynab (Artemis) Mohseni & Rafael M. Martins & Italo Masiello, 2022. "SBGTool v2.0: An Empirical Study on a Similarity-Based Grouping Tool for Students’ Learning Outcomes," Data, MDPI, vol. 7(7), pages 1-18, July.
  92. Nieminen, Paavo & Pölönen, Ilkka & Sipola, Tuomo, 2013. "Research literature clustering using diffusion maps," Journal of Informetrics, Elsevier, vol. 7(4), pages 874-886.
  93. Grace L. Samson & Joan Lu & Aminat A. Showole, 2014. "Mining Complex Spatial Patterns: Issues and Techniques," Journal of Information & Knowledge Management (JIKM), World Scientific Publishing Co. Pte. Ltd., vol. 13(02), pages 1-20.
  94. Arvydas Jadevicius & Simon Huston & Andrew Baum & Allan Butler, 2018. "Two centuries of farmland prices in England," Journal of Property Research, Taylor & Francis Journals, vol. 35(1), pages 72-94, January.
  95. Kum, Hye-Chung & Joy Stewart, C. & Rose, Roderick A. & Duncan, Dean F., 2015. "Using big data for evidence based governance in child welfare," Children and Youth Services Review, Elsevier, vol. 58(C), pages 127-136.
  96. Patricia E. N. Lutu & Andries P. Engelbrecht, 2013. "Base Model Combination Algorithm for Resolving Tied Predictions for K -Nearest Neighbor OVA Ensemble Models," INFORMS Journal on Computing, INFORMS, vol. 25(3), pages 517-526, August.
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