Mining association rules for the quality improvement of the production process

Expert Systems with Applications

Volumn 40, Issue 4, 2013, Pages 1034-1045

  Kamsu Foguem, Bernard ^a   Rigal, Fabien ^a   Mauget, Félix ^a  

^a UNIVERSITÉ DE TOULOUSE   (France)

Author keywords

Association rule mining; Continuous improvement; Data mining; Drilling product manufacturing; Industrial maintenance; Knowledge discovery

Indexed keywords

APPLICATION EXAMPLES; ASSOCIATION RULE MINING METHODS; CONTINUOUS IMPROVEMENTS; COST OF PRODUCTIONS; DATA MINING AND KNOWLEDGE DISCOVERY; DATA MINING TECHNIQUES; ENGINEERING TASKS; FULLY INTEGRATED; INDUSTRIAL MAINTENANCE; INDUSTRIAL SYSTEMS; MANUFACTURING PROCESS; MINING ASSOCIATIONS; OPERATIONS MANAGEMENT; PRODUCT MANUFACTURING; PRODUCTION PROCESS; PRODUCTION TIME; QUALITY IMPROVEMENT; REAL LIFE DATASETS;

COMPUTER APPLICATIONS; EXPERIMENTS; INDUSTRY; INFORMATION MANAGEMENT; PRODUCTION ENGINEERING;

DATA MINING;

EID: 84870236090     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2012.08.039     Document Type: Article

References (57)

1. Agrawal, R.; Imielinski, T.; Swami, A. (1993). Mining associations between sets of items in large databases. In ACM SIGMOD int'l conf. on management of data (pp. 207-216), Washington D.C.; May 1993.
2. F. Alonso, L. Martínez, A. Pérez, and J.P. Valente Cooperation between expert knowledge and datamining discovered knowledge: Lessons learned Expert Systems with Applications 39 8 2012 7524 7535
3. A. Alzghoul, and M. Löfstrand Increasing availability of industrial systems through data stream mining Computers & Industrial Engineering 60 2 2011 195 205
4. A. Alzghoul, M. Löfstrand, and B. Backe Data stream forecasting for system fault prediction Computers & Industrial Engineering 62 4 2012 972 978
5. T. Aven, and S. Guikema Whose uncertainty assessments (probability distributions) does a risk assessment report: The analysts' or the experts'? Reliability Engineering & System Safety 96 10 2011 1257 1262
6. V.R. Benjamins, and D. Fensel Editorial: Problem-solving methods International Journal of Human-Computer Studies 49 4 1998 305 313
7. S.E. Brossette, and P.A. Hymel Jr. Data mining and infection control Clinics in Laboratory Medicine 28 1 2008 119 126
8. J. Buddhakulsomsiri, and A. Zakarian Sequential pattern mining algorithm for automotive warranty data Computers & Industrial Engineering 57 1 2009 137 147
9. A. Chiodo, E. Rosenhauer, and G. Worsowicz Performance improvement methods: Not just for maintenance of certification PM & R 3 2 2011 163 167
10. A.S. Choo, K.W. Linderman, and R.G. Schroeder Method and context perspectives on learning and knowledge creation in quality management Journal of Operations Management 25 4 2007 918 931
11. J.L. Dawson Corrosion management overview Shreir's Corrosion 4 Part VI 2010 3001 3039
12. B. Detlor Information management International Journal of Information Management 30 2 2010 103 108
13. J.R. Evans, and W.M. Lindsay The management and control of quality 5th ed. 2001 South-Western Cincinnati, OH
14. U.M. Fayyad, G. Piatetsky-Shapiro, and P. Smyth From data mining to knowledge discovery in databases AI Magazine 17 3 1996 37 54
15. S. Ferreiro, B. Sierra, I. Irigoien, and E. Gorritxategi Data mining for quality control: Burr detection in the drilling process Computers & Industrial Engineering 60 4 2011 801 810
16. S.T. Foster Jr. Towards an understanding of supply chain quality management Journal of Operations Management 26 4 2008 461 467
17. Fournier-Viger, P.; Nkambou, R.; Tseng, V. S. (2011). RuleGrowth: Mining sequential rules common to several sequences by pattern-growth. In: Proceedings of the 26th symposium on applied computing (ACM SAC 2011). ACM Press, pp. 954-959.
18. P. Fournier-Viger, U. Faghihi, R. Nkambou, and E. Mephu Nguifo CMRules: Mining sequential rules common to several sequences Knowledge-Based Systems 25 1 2012 63 76
19. Fournier-Viger, P.; Wu, C. -W.; Tseng, V. S. (2012). Mining top-K association rules. In: Proceedings of the 25th Canadian conf. on artificial intelligence (AI 2012), Springer, LNAI 7310, pp. 61-73.
20. S. Gibbons Down to a system: Keeping employee morale and retention high Journal for Quality and Participation 23 2 2000 20 22
21. B. Goethals Frequent set mining O. Maimon, L. Rokach, Data mining and knowledge discovery handbook 2nd ed. 2010 Springer New York (NY), USA 321 338
22. J. Han, H. Cheng, D. Xin, and X. Yan Frequent pattern mining: Current status and future directions Data Mining and Knowledge Discovery 15 1 2007 55 86
23. J. Han, J. Pei, Y. Yin, and R. Mao Mining frequent patterns without candidate generation Data Mining and Knowledge Discovery 8 2004 53 87
24. Y.-H. Hu, and Y.-L. Chen Mining association rules with multiple minimum supports: A new mining algorithm and a support tuning mechanism Decision Support Systems 42 1 2006 1 24
25. T.C.-K. Huang, C.-C. Liu, and D.-C. Chang An empirical investigation of factors influencing the adoption of data mining tools International Journal of Information Management 32 3 2012 257 270
26. H. Jabrouni, B. Kamsu-Foguem, L. Geneste, and C. et Vaysse Continuous improvement through knowledge-guided analysis in experience feedback Engineering Applications of Artificial Intelligence 24 8 2011 1419 1431
27. Kamsu-Foguem, B. (2012). Knowledge-based support in Non-Destructive Testing for health monitoring of aircraft structures. Advanced Engineering Informatics. http://dx.doi.org/10.1016/j.aei.2012.06.006.
28. B. Kamsu-Foguem, T. Coudert, L. Geneste, and C. Beler Knowledge formalization in experience feedback processes: An ontology-based approach Computers in Industry 59 7 2008 694 710
29. Kamsu-Foguem, B.; Tchuenté-Foguem, G.; Allart, L.; Zennir, Y.; Vilhelm, C.; Mehdaoui, H.; et al. (2012). User-centered Visual Analysis using a Hybrid Reasoning Architecture for Intensive Care Units. Decision Support Systems. http://dx.doi.org/10.1016/j.dss.2012.06.009.
30. Kantardzic, M. (2011). Data mining: Concepts, models, methods, and algorithms. 2nd revised ed. Wiley-Blackwell (an imprint of John Wiley & Sons Ltd). ISBN-10: 0470890452.
31. G. Köksal, I. Batmaz, and M.C. Testik A review of data mining applications for quality improvement in manufacturing industry Expert Systems with Applications 38 10 2011 13448 13467
32. G.H. Kruger, A.J. Shih, D.G. Hattingh, and T.I. van Niekerk Intelligent machine agent architecture for adaptive control optimization of manufacturing processes Advanced Engineering Informatics 25 4 2011 783 796
33. S. Lee, K. Ryu, M. Shin, and G.-S. Cho Function and service pattern analysis for facilitating the reconfiguration of collaboration systems Computers & Industrial Engineering 62 3 2012 794 800
34. P. Lenca, P. Meyer, B. Vaillant, and S. Lallich On selecting interestingness measures for association rules: User oriented description and multiple criteria decision aid European Journal of Operational Research 184 2 2008 610 626
35. S-H. Liao, P-H. Chu, and P-Y. Hsiao Data mining techniques and applications - A decade review from 2000 to 2011 Expert Systems with Applications 39 12 2012 11303 11311
36. K. Linderman, R.G. Schroeder, S. Zaheer, C. Liedtke, and A.S. Choo Integrating quality management practices with knowledge creation processes Journal of Operations Management 22 6 2004 589 607
37. Y. Liu, C. McMahon, K. Ramani, and D. Schaefer Editorial for the special issue of information mining and retrieval in design Advanced Engineering Informatics 25 2 2011 117 118
38. D. Lo, S.-C. Khoo, and L. Wong Non-redundant sequential rules - Theory and algorithm Information Systems 34 4-5 2009 438 453
39. L.-C. Ma A two-phase case-based distance approach for multiple-group classification problems Computers & Industrial Engineering 63 1 2012 89 97
40. G. Mansingh, K-M. Osei-Bryson, and H. Reichgelt Using ontologies to facilitate post-processing of association rules by domain experts Information Sciences 181 3 2011 419 434
41. F.J. Martínez-de-Pisón, A. Sanz, E. Martínez-de- Pisón, E. Jiménez, and D. Conti Mining association rules from time series to explain failures in a hot-dip galvanizing steel line Computers & Industrial Engineering 63 1 2012 22 36
42. A. Mikroyannidis, and B. Theodoulidis Ontology management and evolution for business intelligence International Journal of Information Management 30 6 2010 559 566
43. A. Newell, and H.A. Simon Human problem solving 1972 Prentice-Hall Englewood Cliffs, NJ
44. E.W.T. Ngai, Y. Hu, Y.H. Wong, Y. Chen, and X. Sun The application of data mining techniques in financial fraud detection: A classification framework and an academic review of literature Decision Support Systems 50 3 2011 559 569
45. R. Nkambou, P. Fournier-Viger, and E. Mephu Nguifo Learning task models in ill-defined domain using an hybrid knowledge discovery framework Knowledge-Based Systems 24 1 2011 176 185
46. S. Oliveira, J.F.F. Ribeiro, and S.C. Seok A spectral clustering algorithm for manufacturing cell formation Computers & Industrial Engineering 57 3 2009 1008 1014
47. V.L. Patel, J.F. Arocha, and D.R. Kaufman A primer on aspects of cognition for medical informatics Journal of the American Medical Informatics Association 8 4 2001 324 343
48. V.L. Patel, D.R. Kaufman, and J.F. Arocha Emerging paradigms of cognition in medical decision-making Journal of Biomedical Informatics 35 1 2002 52 75
49. S. Saitta, B. Raphael, and I.F.C. Smith Data mining techniques for improving the reliability of system identification Advanced Engineering Informatics 19 4 2005 289 298
50. Y.-R. Shiue, R.-S. Guh, and T.-Y. Tseng Study on shop floor control system in semiconductor fabrication by self-organizing map-based intelligent multi-controller Computers & Industrial Engineering 62 4 2012 1119 1129
51. Y. Shu Inference of power plant quake-proof information based on interactive data mining approach Advanced Engineering Informatics 21 3 2007 257 267
52. B. Strug, and G. Ślusarczyk Reasoning about designs through frequent patterns mining Advanced Engineering Informatics 23 4 2009 361 369
53. A. Tiwari, R.K. Gupta, and D.P. Agrawal A survey on frequent pattern mining: Current status and challenging issues Information Technology Journal 9 2010 1278 1293
54. T. Washio Applications eligible for data mining Advanced Engineering Informatics 21 3 2007 241 242
55. I.H. Witten, E. Frank, and M.A. Hall Data mining: Practical machine learning tools and techniques 3 ed. 2011 Elsevier ISBN 978-0-12-374856-0
56. M.J. Zaki Scalable algorithms for association mining IEEE Transactions on Knowledge and Data Engineering 12 3 2000 372 390
57. X. Zhu, and I. Davidson Knowledge discovery and data mining: Challenges and realities 2007 Hershey New York ISBN 978-1-59904-252-7