참고문헌
- 정동한, 최원길, 김응모, “고객 중심의 기업 경영 및 마케팅을 위한 데이터 마이닝의 활용: 멀티플렉스에 적용,” 한국정보처리학회 2008년 추계학술발표대회, 제15권 제2호., 2008. pp.311-314.
- Setnes, M., Kaymak, U, "Fuzzy modeling of client preference from large data sets: an application to target selection in direct marketing," IEEE Trans. on Fuzzy Systems, Vol.9 No.1, 2001, pp.153-163. https://doi.org/10.1109/91.917121
- Shan L., Jae Nam Lee, "Using e-CRM for a unified view of the customer," Communications of the ACM, Vol.46 No.4, 2003, pp.95-99.
- 김호연, 장태우, 김용진, 윤형호, 한국우편주소파일설계서 V3.1, ETRI 기술문서, 한국전자통신연구원, 2003.
- 통계청지리정보서비스, 센서스 공간통계 자료제공, 통계청, http://gis.nso.go.kr/, 2009.
- Milligan, G. W., "Clustering validation: Results and implications for applied analyses," in Clustering and Classification World Scientific, Singapore, 1996, pp.341-375.
- Han, J., Kamber, M., Data Mining: Concepts and Techniques, Morgan Kaufmann publishers, 2000.
- Guyon, L., Elisseeff, A., "introduction to variable and feature selection," Journal of Machine Learning Research 3, 2003, pp. 1157-1182. https://doi.org/10.1162/153244303322753616
- Bhanot G., Alexe G., Venkataraghavan B., Levine A., "A robust meta-classification strategy for cancer detection from MS data," Proteomics, Vol.6 No.2, 2006, pp.592-604. https://doi.org/10.1002/pmic.200500192
- Fayyad, U., Irani, K., "Multi-Interval discretization of continuous-valued attributes for classification learning," In proceedings Int'l Joint Conference. on AI, 1993, pp.1022-1027.
- "Witten, IH., Frank, E., Data Mining: Practical Machine Learning Tools and Techniques 2nd Edition, San Mateo, CA: Morgan Kaufmann, Knowledge Representation, 2005, pp.62-65.
- Witten, IH., et al., "Data Mining Software in Java, Weka Machine Learning Project," 2009.
- Burges, C. J. C., "A Tutorial on Support Vector Machine For Pattern Recognition," Data Mining and Knowledge Discovery, Vol.2, 1998, pp.1-71.
- Chen, J., Greiner, R., "Comparing Bayesian Network Classifiers," In proceedings of UAI-99, 1999, pp.101-108.
- 엄정호, 니하드 카림 초우더리, 이현조, 장재우, 김연중, “Naive Bayesian 분류화 기법을 이용한 시간대별 평균 구간 속도 기반 주행 시간 예측 알고리즘,” 한국공간정보시스템학회논문지, 제10권 제3호, 2008, pp.31-43.
- Quinlan, J. R., C4.5: Programs for and Neural Networks, Machine Learning, Morgan Kaufman publishers, 1993.
- Ji, L., Tan, K. L., Tung, A. K. H., "Mining frequent closed cubes in 3D datasets," In proceedings of the 32nd int'l conference on VLDB, 2006, pp.811-822.
- Besson, J., Robardet, C., Boulicaut, J. F., "Constraint-based mining of formal concepts in transactional data," In proceedings of PAKDD'04, 2004, pp.615-624.
- 박성승, 손호선, 이동규, 지은미, 김희석, 류근호, “u-City응용에서의 시간 패턴을 이용한 단기 전력부하 예측,” 한국공간정보시스템학회논문지, 제11권 제2호, 2009, pp.177-181.
- Gidofalvi, G., Pedersen, T. B., "Spatio-temooral Rule Mining: Issues and Techniques," LNCS 3589, 2005, pp.275-284.
- 이헌규, 노기용, 서성보, 류근호, “캘린더 패턴 기반의 시간 연관적 분류 기법,” 한국정보과학회논문지, 제32권 제6호, 2005, pp.567-584.
- Li, Y., Ning, P., "Discovering Calendar-based Temporal Association Rules," In proceedings of Int'l Symposium on Temporal Representation and Reasoning, 2001.