Synergies of Operations Research and Data Mining
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- Bernataviciene, Jolita & Dzemyda, Gintautas & Kurasova, Olga & Marcinkevicius, Virginijus, 2006. "Optimal decisions in combining the SOM with nonlinear projection methods," European Journal of Operational Research, Elsevier, vol. 173(3), pages 729-745, September.
- Karasozen, Bulent & Rubinov, Alexander & Weber, Gerhard-Wilhelm, 2006. "Optimization in Data Mining," European Journal of Operational Research, Elsevier, vol. 173(3), pages 701-704, September.
- Huyet, A.L., 2006. "Optimization and analysis aid via data-mining for simulated production systems," European Journal of Operational Research, Elsevier, vol. 173(3), pages 827-838, September.
- Trafalis, Theodore B. & Gilbert, Robin C., 2006. "Robust classification and regression using support vector machines," European Journal of Operational Research, Elsevier, vol. 173(3), pages 893-909, September.
- Deb Campbell & Randy Erdahl & Doug Johnson & Eric Bibelnieks & Michael Haydock & Mark Bullock & Harlan Crowder, 2001. "Optimizing Customer Mail Streams at Fingerhut," Interfaces, INFORMS, vol. 31(1), pages 77-90, February.
- Piramuthu, Selwyn, 1996. "Feed-forward neural networks and feature construction with correlation information: an integrated framework," European Journal of Operational Research, Elsevier, vol. 93(2), pages 418-427, September.
- Denton, Frank T, 1985. "Data Mining as an Industry," The Review of Economics and Statistics, MIT Press, vol. 67(1), pages 124-127, February.
- JosÉ Figueira & Salvatore Greco & Matthias Ehrogott, 2005. "Multiple Criteria Decision Analysis: State of the Art Surveys," International Series in Operations Research and Management Science, Springer, number 978-0-387-23081-8, December.
- Lee G. Cooper & Giovanni Giuffrida, 2000. "Turning Datamining into a Management Science Tool: New Algorithms and Empirical Results," Management Science, INFORMS, vol. 46(2), pages 249-264, February.
- Li, Xiao-Bai & Jacob, Varghese S., 2008. "Adaptive data reduction for large-scale transaction data," European Journal of Operational Research, Elsevier, vol. 188(3), pages 910-924, August.
- Chen, Mu-Chen & Wu, Hsiao-Pin, 2005. "An association-based clustering approach to order batching considering customer demand patterns," Omega, Elsevier, vol. 33(4), pages 333-343, August.
- P. S. Bradley & Usama M. Fayyad & O. L. Mangasarian, 1999. "Mathematical Programming for Data Mining: Formulations and Challenges," INFORMS Journal on Computing, INFORMS, vol. 11(3), pages 217-238, August.
- Lovell, Michael C, 1983. "Data Mining," The Review of Economics and Statistics, MIT Press, vol. 65(1), pages 1-12, February.
- Azzag, Hanene & Venturini, Gilles & Oliver, Antoine & Guinot, Christiane, 2007. "A hierarchical ant based clustering algorithm and its use in three real-world applications," European Journal of Operational Research, Elsevier, vol. 179(3), pages 906-922, June.
- Saglam, Burcu & Salman, F. Sibel & Sayin, Serpil & Turkay, Metin, 2006. "A mixed-integer programming approach to the clustering problem with an application in customer segmentation," European Journal of Operational Research, Elsevier, vol. 173(3), pages 866-879, September.
- Sigurdur Ólafsson & Jaekyung Yang, 2005. "Intelligent Partitioning for Feature Selection," INFORMS Journal on Computing, INFORMS, vol. 17(3), pages 339-355, August.
- Chen, Yen-Liang & Hu, Hui-Ling, 2006. "An overlapping cluster algorithm to provide non-exhaustive clustering," European Journal of Operational Research, Elsevier, vol. 173(3), pages 762-780, September.
- Richard Bellman, 1957. "On a Dynamic Programming Approach to the Caterer Problem--I," Management Science, INFORMS, vol. 3(3), pages 270-278, April.
- Shen, Ching-Cheng & Chen, Yen-Liang, 2008. "A dynamic-programming algorithm for hierarchical discretization of continuous attributes," European Journal of Operational Research, Elsevier, vol. 184(2), pages 636-651, January.
- Olafsson, Sigurdur & Li, Xiaonan & Wu, Shuning, 2008. "Operations research and data mining," European Journal of Operational Research, Elsevier, vol. 187(3), pages 1429-1448, June.
- Beliakov, Gleb & King, Matthew, 2006. "Density based fuzzy c-means clustering of non-convex patterns," European Journal of Operational Research, Elsevier, vol. 173(3), pages 717-728, September.
- R-H Lin, 2009. "Potential use of FP-growth algorithm for identifying competitive suppliers in SCM," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 60(8), pages 1135-1141, August.
- K J Glowacka & R M Henry & J H May, 2009. "A hybrid data mining/simulation approach for modelling outpatient no-shows in clinic scheduling," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 60(8), pages 1056-1068, August.
- David J. Hand & Heikki Mannila & Padhraic Smyth, 2001. "Principles of Data Mining," MIT Press Books, The MIT Press, edition 1, volume 1, number 026208290x, April.
- Carrizosa, Emilio & Martin-Barragan, Belen, 2006. "Two-group classification via a biobjective margin maximization model," European Journal of Operational Research, Elsevier, vol. 173(3), pages 746-761, September.
- Agafonov, Evgeny & Bargiela, Andrzej & Burke, Edmund & Peytchev, Evtim, 2009. "Mathematical justification of a heuristic for statistical correlation of real-life time series," European Journal of Operational Research, Elsevier, vol. 198(1), pages 275-286, October.
- Salvatore Greco & Benedetto Matarazzo & Roman Słowinński, 2005. "Decision Rule Approach," International Series in Operations Research & Management Science, in: Multiple Criteria Decision Analysis: State of the Art Surveys, chapter 0, pages 507-555, Springer.
- O. L. Mangasarian, 1965. "Linear and Nonlinear Separation of Patterns by Linear Programming," Operations Research, INFORMS, vol. 13(3), pages 444-452, June.
- Basu, Amit, 1998. "Perspectives on operations research in data and knowledge management," European Journal of Operational Research, Elsevier, vol. 111(1), pages 1-14, November.
- Crone, Sven F. & Lessmann, Stefan & Stahlbock, Robert, 2006. "The impact of preprocessing on data mining: An evaluation of classifier sensitivity in direct marketing," European Journal of Operational Research, Elsevier, vol. 173(3), pages 781-800, September.
- Balaji Padmanabhan & Alexander Tuzhilin, 2003. "On the Use of Optimization for Data Mining: Theoretical Interactions and eCRM Opportunities," Management Science, INFORMS, vol. 49(10), pages 1327-1343, October.
- Meiri, Ronen & Zahavi, Jacob, 2006. "Using simulated annealing to optimize the feature selection problem in marketing applications," European Journal of Operational Research, Elsevier, vol. 171(3), pages 842-858, June.
- Hodrea, I.B. & Bot, R.I. & Wanka, G., 2006. "The Rose-Gurewitz-Fox approach applied for patents classification," European Journal of Operational Research, Elsevier, vol. 173(3), pages 815-826, September.
- Sawicki, Piotr & Zak, Jacek, 2009. "Technical diagnostic of a fleet of vehicles using rough set theory," European Journal of Operational Research, Elsevier, vol. 193(3), pages 891-903, March.
- Kulkarni, Girish & Fathi, Yahya, 2007. "Integer programming models for the q-mode problem," European Journal of Operational Research, Elsevier, vol. 182(2), pages 612-625, October.
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- Mark Gilchrist & Deana Lehmann Mooers & Glenn Skrubbeltrang & Francine Vachon, 2012. "Knowledge Discovery in Databases for Competitive Advantage," Journal of Management and Strategy, Journal of Management and Strategy, Sciedu Press, vol. 3(2), pages 2-15, April.
- Saridakis, Charalampos & Katsikeas, Constantine S. & Angelidou, Sofia & Oikonomidou, Maria & Pratikakis, Polyvios, 2023. "Mining Twitter lists to extract brand-related associative information for celebrity endorsement," European Journal of Operational Research, Elsevier, vol. 311(1), pages 316-332.
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- Caballini, Claudia & Gracia, Maria D. & Mar-Ortiz, Julio & Sacone, Simona, 2020. "A combined data mining – optimization approach to manage trucks operations in container terminals with the use of a TAS: Application to an Italian and a Mexican port," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 142(C).
- Zhang, Zhiwang & Gao, Guangxia & Shi, Yong, 2014. "Credit risk evaluation using multi-criteria optimization classifier with kernel, fuzzification and penalty factors," European Journal of Operational Research, Elsevier, vol. 237(1), pages 335-348.
- Hauser, Matthias & Flath, Christoph M. & Thiesse, Frédéric, 2021. "Catch me if you scan: Data-driven prescriptive modeling for smart store environments," European Journal of Operational Research, Elsevier, vol. 294(3), pages 860-873.
- Clarisse Dhaenens & Laetitia Jourdan, 2019. "Metaheuristics for data mining," 4OR, Springer, vol. 17(2), pages 115-139, June.
- Besseris, George J., 2012. "Profiling effects in industrial data mining by non-parametric DOE methods: An application on screening checkweighing systems in packaging operations," European Journal of Operational Research, Elsevier, vol. 220(1), pages 147-161.
- Martinelli, Gabriele & Eidsvik, Jo & Hauge, Ragnar, 2013. "Dynamic decision making for graphical models applied to oil exploration," European Journal of Operational Research, Elsevier, vol. 230(3), pages 688-702.
- Misiunas, Nicholas & Oztekin, Asil & Chen, Yao & Chandra, Kavitha, 2016. "DEANN: A healthcare analytic methodology of data envelopment analysis and artificial neural networks for the prediction of organ recipient functional status," Omega, Elsevier, vol. 58(C), pages 46-54.
- Pendharkar, Parag C. & Troutt, Marvin D., 2011. "DEA based dimensionality reduction for classification problems satisfying strict non-satiety assumption," European Journal of Operational Research, Elsevier, vol. 212(1), pages 155-163, July.
- Sebastian Vock & Laurie A. Garrow & Catherine Cleophas, 2022. "Clustering as an approach for creating data-driven perspectives on air travel itineraries," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 21(2), pages 212-227, April.
- Rainer Alt & Jan Fabian Ehmke & Reinhold Haux & Tino Henke & Dirk Christian Mattfeld & Andreas Oberweis & Barbara Paech & Alfred Winter, 2019. "Towards customer-induced service orchestration - requirements for the next step of customer orientation," Electronic Markets, Springer;IIM University of St. Gallen, vol. 29(1), pages 79-91, March.
- Youngseok Choi & Habin Lee, 0. "Data properties and the performance of sentiment classification for electronic commerce applications," Information Systems Frontiers, Springer, vol. 0, pages 1-20.
- Daniel Gartner & Yiye Zhang & Rema Padman, 2018. "Cognitive workload reduction in hospital information systems," Health Care Management Science, Springer, vol. 21(2), pages 224-243, June.
- Raeesi, Ramin & Sahebjamnia, Navid & Mansouri, S. Afshin, 2023. "The synergistic effect of operational research and big data analytics in greening container terminal operations: A review and future directions," European Journal of Operational Research, Elsevier, vol. 310(3), pages 943-973.
- Corne, David & Dhaenens, Clarisse & Jourdan, Laetitia, 2012. "Synergies between operations research and data mining: The emerging use of multi-objective approaches," European Journal of Operational Research, Elsevier, vol. 221(3), pages 469-479.
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