Trend mining for predictive product design

Journal of Mechanical Design

Volumn 133, Issue 11, 2011, Pages

  Tucker, Conrad S ^a   Kim, Harrison M ^b  

^a PENNSYLVANIA STATE UNIVERSITY   (United States)

^b University of Illinois at Urbana Champaign   (United States)

Author keywords

data mining; knowledge discovery; predictive product design; trend mining

Indexed keywords

DATA MINING; TIME SERIES;

CONSUMERS' PREFERENCES; DEMAND MODELLING; DESIGN ENGINEERS; MINING ALGORITHMS; MODELLING TECHNIQUES; PREDICTIVE MODELS; PREDICTIVE PRODUCT DESIGN; PRODUCT FEATURE; TIMES SERIES; TREND MININGS;

PRODUCT DESIGN;

EID: 82155192877     PISSN: 10500472     EISSN: None     Source Type: Journal    
DOI: 10.1115/1.4004987     Document Type: Article

References (38)

1. Pullmana, M., Mooreb, W., and Wardellb, D., 2002, "A Comparison of Quality Function Deployment and Conjoint Analysis in New Product Design," J. Prod. Innovation Manage., 19(1), pp. 354-364.
2. Green, P., Carroll, J., and Goldberg, S., 1981, "A General Approach to Product Design Optimization via Conjoint Analysis," J. Marketing, 45, pp. 17-37.
3. Tucker, C., and Kim, H., 2009, "Data-Driven Decision Tree Classification for Product Portfolio Design Optimization," J. Comput. Inf. Sci. Eng., 9(4), 041004.
4. Tucker, C. S., and Kim, H. M., 2008, "Optimal Product Portfolio Formulation by Merging Predictive Data Mining With Multilevel Optimization," Trans. ASME J. Mech. Des., 130, pp. 991-1000.
5. Tucker, C., Hoyle, C.., Kim, H., and Chen, W., 2009, "A Comparative Study of Data-Intensive Demand Modeling Techniques in Relation to Product Design and Development," Proceedings of the ASME Design Engineering Technical Conferences, San Diego, CA, DETC2009-87049.
6. Wassenaar, H., Chen, W., Cheng, J., and Sudjianto, A., 2005, "Enhancing Discrete Choice Demand Modeling for Decision-Based Design," ASME J. Mech.Des., 127(4), pp. 514-523. (Pubitemid 41064205)
7. Michalek, J. J., Feinberg, F., and Papalambros, P., 2005, "Linking Marketing and Engineering Product Design Decisions via Analytical Target Cascading," J. Prod. Innovation Manage.: Spec. Issue Des. Market. New Product Dev., 22, pp. 42-62. (Pubitemid 40178606)
8. Lewis, K., Chen, W., and Schmidt, L., eds., 2006, Decision Making in Engineering Design, ASME Press, New York.
9. Wassenaar, H. J., Chen, W., Cheng, J., and Sudjianto, A., 2005, "Enhancing Discrete Choice Demand Modeling for Decision-Based Design," Trans. ASME J. Mech. Des., 127, pp. 514-523. (Pubitemid 41064205)
10. Frischknecht, B., Whitefoot, K., and Papalambros, P. Y., 2010, "On the Suitability of Econometric Demand Models in Design for Market Systems," ASME J. Mech. Des., 132(12), 121007.
11. Wassenaar, H. J., and Chen, W., 2003, "An Approach to Decision-Based Design With Discrete Choice Analysis for Demand Modeling," Trans. ASME J. Mech. Des., 125, pp. 490-497.
12. Greene, W., and Hensher, D., 2003, "A Latent Class Model for Discrete Choice Analysis: Contrasts With Mixed Logit," Transp. Res., 37, pp. 681-698. (Pubitemid 36745957)
13. Shannon, C. E., 2001, "A Mathematical Theory of Communication," SIGMOBILE Mob. Comput. Commun. Rev., 5(1), pp. 3-55.
14. Quinlan, J., 1986, "Induction of Decision Trees," Mach. Learn., 1(1), pp. 81-106.
15. Mela, C., Gupta, S., and Lehmann, D., 1997, "The Longterm Impact of Promotion and Advertising on Consumer Brand Choice," J. Market. Res., 34(2), pp. 248-261.
16. Jedidi, K., Mela, C., and Gupta, S., 1999, "Managing Advertising and Promotion for Long-Run Profitability," Market. Sci., 18(1), pp. 1-22.
17. Seetharaman, P. B., 2004, "Modeling Multiple Sources of State Dependence in Random Utility Models: A Distributed Lag Approach," Market. Sci., 23(2), pp. 263-271.
18. Lachaab, M., Ansari, A., Jedidi, K., and Trabelsi, A., 2006, "Modeling Preference Evolution in Discrete Choice Models: A bayesian State-Space Approach," Quant. Market. Econ., 4(1), pp. 57-81. (Pubitemid 43615668)
19. Böttcher, M., Spott, M., and Kruse, R., 2008, "Predicting Future Decision Trees From Evolving Data," Proceedings of ICDM '08, pp. 33-42.
20. Günther, C. W., Rinderle, S. B., Reichert, M. U., and van der Aalst, W. M. P., 2006, "Change Mining in Adaptive Process Management Systems," (CoopIS' 06) Volume 4275 of Lecture Notes in Computer Science, Montpellier, France; Springer-Verlag, Berlin=Heidelberg=New York, pp. 309-326. (Pubitemid 44891963)
21. Li, P., Hu, X., and Wu, X., 2008, "Mining Concept-Drifting Data Streams With Multiple Semi-Random Decision Trees," in ADMA '08: Proceedings of the 4th international conference on Advanced Data Mining and Applications, Springer- Verlag, Berlin=Heidelberg, pp. 733-740.
22. Wacker, J. G., and Trelevan, M., 1986, "Component Part Standardization: An Analysis of Commonality Sources and Indices," J. Oper. Manage., 6(2), pp. 219-244.
23. Wu, T., Chen, Y., and Han, J., 2007, "Association mining in large databases: A re-examination of its measures," Proceedings of the 11th European conference on Principles and Practice of Knowledge Discovery in Databases, PKDD 2007, Springer-Verlag, Berlin=Heidelberg, pp. 621-628.
24. Geng, L., and Hamilton, H., 2006, "Interestingness Measures for Data Mining: A Survey," ACM Comput. Surv., 38(3), p. 9.
25. Chatfield, C., 1978, "The Holt-Winters Forecasting Procedure," J. R. Stat. Soc. Ser. C, Appl. Stat., 27(3), pp. 264-279.
26. Grubb, H., and Mason, A., 2001, "Long Lead-Time Forecasting of Uk Air Passengers by Holt-Winters Methods With Damped Trend," Int. J. Forecast., 17(1), pp. 71-82. (Pubitemid 33623415)
27. Yue, S., Pilon, P., and Cavadias, G., 2002, "Power of the Mannkendall and Spearman's Rho Tests for Detecting Monotonic Trends in Hydrological Series," J. Hydrol., 259(1-4), pp. 254-271. (Pubitemid 34175777)
28. Cleveland, R. B., Cleveland, W. S., Mcrae, J. E., and Terpenning, I., 1990, "Stl: A Seasonal-Trend Decomposition Procedure Based on Loess," J. Off. Stat., 6(1), pp. 3-73.
29. Smith, B., Williams, B., and Oswald, R., 2002, "Comparison of Parametric and Nonparametric Models for Traffic Flow Forecasting," Transp. Res., Part C: Emerg. Technol., 10(4), pp. 303-321.
30. John, G., Kohavi, R., and Pfleger, K., 1994, "Irrelevant Features and the Subset Selection Problem," International Conference onMachine Learning, pp. 121-129.
31. Zhao, Z., and Liu, H., 2009, "Searching for Interacting Features in Subset Selection," Intell. Data Anal., 13(2), pp. 207-228.
32. Mann, H. B., 1945, "Nonparametric Tests Against Trend," Econometrica, 13(3), pp. 245-259.
33. Kendall, M., and Gibbons, J. D., 1990, "Rank Correlation Methods," A Charles Griffin Title, 5th ed., Oxford University Press, New York.
34. Hirsch, R., and Slack, J., 1984, "A Nonparametric Trend Test for Seasonal Data With Serial Dependence," Water Resour. Res., 20(6), pp. 727-732.
35. Witten, I. H., and Frank, E., 2002, "Data mining: Practical Machine Learning Tools and Techniques With Java Implementations," SIGMOD Rec., 31(1), pp. 76-77.
36. Demšar, J., 2006 "Statistical Comparisons of Classifiers Over Multiple Data Sets," J. Mach. Learn. Res., 7(1), pp. 1-30. (Pubitemid 43022939)
37. Frank, A., and Asuncion, A., 2010, "UCI Machine Learning Repository," University of California, Irvine, CA. http://archive.ics.uci. edu/ml.
38. Domingos, P., and Pazzani, M., "Beyond Independence: Conditions for the Optimiality of the Simple Bayesian Classifier," in Machine Learning, pp. 105-112