參考文獻 |
Reference
[1]. Chiang, D. A., Wang, Y. H., & Chen, S. P. (2010). Analysis on repeat-buying patterns. Knowledge-Based Systems, 23(8), 757-768.
[2]. Cheung, C. F., & Li, F. L. (2012). A quantitative correlation coefficient mining method for business intelligence in small and medium enterprises of trading business. Expert Systems with Applications, 39(7), 6279-6291.
[3]. Lassnig, M., Fahringer, T., Garonne, V., Molfetas, A., & Barisits, M. (2011, November). A similarity measure for time, frequency, and dependencies in large-scale workloads. In Proceedings of 2011 International Conference for High Performance Computing, Networking, Storage and Analysis (p. 43). ACM.
[4]. Kiran, R. U., & Reddy, P. K. (2011, January). An alternative interestingness measure for mining periodic-frequent patterns. In Database Systems for Advanced Applications (pp. 183-192). Springer Berlin Heidelberg.
[5]. Sridevi, S., Rajaram, S., & Swadhikar, C. (2010, December). An intelligent prediction system for time series data using periodic pattern mining in temporal databases. In Proceedings of the First International Conference on Intelligent Interactive Technologies and Multimedia (pp. 163-171). ACM.
[6]. Miao, R., & Shen, X. J. (2010, August). Construction of periodic temporal association rules in data mining. In Fuzzy Systems and Knowledge Discovery (FSKD), 2010 Seventh International Conference on (Vol. 5, pp. 2133-2137). IEEE.
[7]. Babicz-Zielinska, E. (1999). Food preferences among the Polish young adults. Food Quality and Preference, 10(2), 139-145.
[8]. de Mendonça, S. N. T. G., Brandão, H. C. A. D. N. T. M., Brandão, W. A. P. L. N. T. M., Quintino, C. A. A., De Francisco, A., & Teixeira, E. (2013). Food preferences of middle aged and elderly subjects in a Brazilian city. The journal of nutrition, health & aging, 17(2), 130-135.
[9]. Agrawal, R., & Srikant, R. (1995, March). Mining sequential patterns. In Data Engineering, 1995. Proceedings of the Eleventh International Conference on (pp. 3-14). IEEE.
[10]. Han, J., Pei, J., Mortazavi-Asl, B., Pinto, H., Chen, Q., Dayal, U., & Hsu, M. C. (2001, April). PrefixSpan: Mining sequential patterns efficiently by prefix-projected pattern growth. In Proceedings of the 17th International Conference on Data Engineering (pp. 215-224). |