مقایسه ى دو روش داده کاوی در بخش بندی مشتریان بیمه ى بدنه ى اتومبیل براساس ریسک (مورد مطالعه: شرکت بیمه ى ملت)

􀂽􀁙􀂀􀀯􀃋􀁙 􀁿􀁻 􀂶􀀯􀃌􀁞􀂻􀃂􀁥􀁙 􀃉 􀃄􀂼􀃌􀁝 􀃁 􀃉􀂁􀁚􀂇 􀃊􀂏􀃂􀂐􀁹 􀀬 􀃊􀀯􀂸􀂟 􀁼􀂼􀁶􀂻 􀀬􀃉􀁻􀁙􀂀􀂻 􀀭􀀬􀁼􀂼􀁵􀁙 􀀬􀃊􀂼􀃌􀂼􀂏 􀃉􀂀􀂨􀂠􀁭 .1
.1387 􀀬􀁚􀃅 􀁤􀂏􀂀􀂧 􀃁 􀁚􀃅 􀂊􀂷􀁚􀁱 􀀬􀃄􀂼􀃌􀁝 􀁤􀂠􀃀􀂏 􀃊􀂸􀂸􀂼􀂷􀁙 􀂾􀃌􀁝 􀂊􀃋􀁚􀂼􀃅
􀂀􀀯􀁝 􀂶􀃌􀁞􀂻􀃂􀁥􀁙 􀃉 􀃄􀂿􀁼􀁝 􀃉 􀃄􀂼􀃌􀁝 􀂽􀁚􀃋􀂀􀁦􀂌􀂻 􀃊􀃀􀃌􀁝 􀂊􀃌􀁡 􀃉􀁙􀂀􀁝 􀃊􀁝􀃂􀁱􀁿􀁚􀃆􀁱 􀃊􀁵􀁙􀂀􀂗 􀀬 􀂁􀁚􀂿􀃁􀂀􀀯􀂇 􀀬􀁿􀁙􀁼􀁝􀃂􀁱 .2
.1387 􀀬􀂅􀁿􀁼􀂻 􀁤􀃌􀁝􀂀􀁥 􀃃􀁚􀂴􀂌􀂿􀁙􀁻 􀀬􀁼􀂋􀁿􀁙 􀃊􀂇􀁚􀃀􀂋􀁿􀁚􀂯 􀃉 􀃄􀂻􀁚􀂿 􀂽􀁚􀃋􀁚􀁡 􀀬􀃉􀃁􀁚􀂯 􀃃􀁻􀁙􀁻 􀃉 􀃄􀃋􀁚􀁡
􀀬 􀃉􀃁􀁚􀀯􀂯 􀃃􀁻􀁙􀁻 􀂁􀁙 􀃃􀁻􀁚􀂨􀁦􀀯􀂇􀁙 􀁚􀀯􀁝 􀃄􀂼􀃌􀁝 􀁤􀂠􀃀􀂏 􀁿􀁻 􀂥􀁼􀃅 􀂽􀁚􀃋􀂀􀁦􀂌􀂻 􀃉􀁼􀃀􀁝 􀃄􀁦􀂇􀁻 􀀬􀃔􀃌􀂷 􀀬􀃃􀁻􀁙􀂁 􀂾􀃌􀂈􀁵 .3
.1386 􀁼􀃀􀂨􀂇􀁙 􀀬􀂅􀁿􀁼􀂻 􀁤􀃌􀁝􀂀􀁥 􀃃􀁚􀂴􀂌􀂿􀁙􀁻 􀀬􀁼􀂋􀁿􀁙 􀃊􀂇􀁚􀃀􀂋􀁿􀁚􀂯 􀃉 􀃄􀂻􀁚􀂿 􀂽􀁚􀃋􀁚􀁡
􀂽􀁚􀃋 􀂀􀁦􀀯􀂌􀂻 􀃉􀁚􀃅 􀃃􀃁􀂀􀂳 􀃊􀂰􀂈􀃋􀁿 􀃉􀁼􀃀􀁝 􀃄􀁦􀂇􀁻 􀁤􀃆􀁭 􀃊􀂷􀁼􀂻 􀀬􀁙􀁼􀂿 􀀬􀁿􀁙􀁼􀃋􀁚􀁡 􀂂􀃌􀁺􀁦􀂇􀁿 􀀭􀂹􀁚􀃌􀁡 􀀬􀃃􀁻􀁙􀂁 􀃊􀂨􀃀􀁵 .4
􀀯 􀃊 􀀯􀂼􀂸􀂟 􀃉 􀃄􀂻􀁚􀃀􀂸􀀯􀂐􀂧 􀀬􀃉 􀃁􀁚􀀯􀂯 􀃃􀁻􀁙􀁻 􀂁􀁙 􀃃􀁻􀁚􀂨􀁦􀀯􀂇􀁙 􀁚􀀯􀁝 􀂮􀀯􀂈􀃋􀁿 􀂅􀁚􀂇􀁙􀂀􀁝 􀂶􀃌􀁞􀂻􀃂􀁥􀁙 􀃉 􀃄􀂿􀁼􀁝 􀃉 􀃄􀂼􀃌􀁝
.1390 􀀬􀃄􀂼􀃌􀁝 􀃊􀂌􀃅􀃁􀂄􀁡
􀁿􀁙􀂁􀁚􀁝 􀂁􀁙 􀃉􀁼􀃅􀁙􀃂􀂋 :􀃄􀂼􀃌􀁝 􀁿􀁙􀂁􀁚􀁝 􀁿􀁻 􀂽􀁙􀁿􀁙􀁾􀂳 􀃄􀂼􀃌􀁝 􀃊􀂰􀂈􀃋􀁿 􀃉􀁼􀃀􀁝 􀃄􀂬􀁞􀂗 􀃉􀁚􀃅􀁿􀁚􀂰􀃅􀁙􀁿 􀀬􀁼􀃌􀁵􀃁 􀀬􀁼􀁭􀁚􀂻 .5
.1387 􀀬􀁚􀃅 􀁤􀂏􀂀􀂧 􀃁 􀁚􀃅 􀂊􀂷􀁚􀁱 􀀬􀃄􀂼􀃌􀁝 􀁤􀂠􀃀􀂏 􀃊􀂸􀂸􀂼􀂷􀁙 􀂾􀃌􀁝 􀂊􀃋􀁚􀂼􀃅 􀀬􀂽􀁙􀂀􀃋􀁙 􀁿􀁻 􀂶􀃌􀁞􀂻􀃂􀁥􀁙 􀃉 􀃄􀂿􀁼􀁝 􀃉 􀃄􀂼􀃌􀁝
6. E.W.T. Ngai a, Yong Hu b, Y.H. Wong a, Yijun Chen b, Xin Sun, “The application
of data mining techniques in financial fraud detection: A classification framework
and an academic review of literature”, Decision Support Systems, 2011, Vol. 50,
pp. 559–569.
7. E.W.T. Ngai, Li Xiu, D.C.K. Chau, "Application of data mining techniques in
customer relationship management: A literature review and classification", Expert
Systems with Applications, 2009, Vol. 36, pp. 2592-2602.
8. Fahim, A. M., Saake, G., Salem, A. M., Torkey, F.A. Ramadan, M. A., "K-means
for Spherical clusters with large variance in sizes", World Academy of Science,
Engineering and Technology, 2008, Vol. 45, pp. 177-182.
9. Fayyad, U.M., Piatetsky-Shapiro, G., Smyth, P., The KDD process for extracting
useful knowledge from volumes of data. Communications of the ACM, November
1996, Vol. 39, No. 11. 27.
10. Hanafizadeh, P., Mirzazadeh, M. (2010). Visualizing market segmentation using
selforganizing maps and Fuzzy Delphi method – ADSL market of a
elecommunication company. Expert system with application, 38(1), 198-205
11. Hung, Ch., Tsai, Ch., "Market segmentation based on hierarchical self-organizing
map for markets of multimedia on demand", Expert Systems with Applications,
2008, Vol. 34, pp: 780–787.
12. Kohonen, T., Self-Organizing Maps, Springer series in Information Sciences, 30,
مقایس هى دو روش داد هکاوی در بخ شبندی مشتریان بیم هى بدن هى اتومبیل براساس ریسک 97
Springer, Berlin, Heidelberg New York, 2001, 3th Ed.
13. Kohonen, T.,” Automatic formation of topological maps of patterns in a selforganizing
system, In Oja, E. and Simula, O. (Eds), proceedings of SCIA Scand.
Conference on Pattern Recognition, Los Alamitos, CA. IEEE Computer Soc. Press,
1981, pp. 182-185.
14. Lee, S. C., Suh, Y. H., Kim, J. K., and Lee, K. J., "A cross-national market
segmentation of online game industry using SOM." Expert Systems with
Applications, 2004, Vol.27, pp: 559-570.
15. Leung, Y., Zhang, J., Xu, Z., "Clustering by scale-space filtering". IEEE
Transactions on Pattern Analysis and Machine Intelligence, 2000, 22 (12), pp.
1396–1410.
16. Newstead, S., D’Elia, A., “Does vehicle colour influence crash risk”, Safety
Science, 2010. Vol. 48, pp. 1327-1338.
17. Nong Ye, The Hand Book of Data Mining. New Jersey, LAWRENCE ERLBAUM
ASSOCIATES, 2003
18. Vesanto, J., Alhoniemi, E., “Clustering of the Self-Organizing Map, IEEE
Transactions on Neural Networks”, 2000, Vol. 11, No.3, pp. 586-600.
19. Vesanto, J., Data mining techniques based on the Self-Organizing map, Helsinki
university of Technology, 1997.
20. Witten IH, Frank E, 2000, Data Mining: Practical Machine Learning Tools and
Techniques. Morgan Kaufmann Series in Data Management Systems.
21. Woo, J. Y., Bae, S. M., & Park, S. C., Visualization method for customer targeting
using customer map. Expert Systems with Applications, 2000, Vol. 28, pp: 763–
772.
22. Yang, Y., & Padmanabhan, B.," A hierarchical pattern-based clustering algorithm
for grouping web transactions". IEEE Transaction on Knowledge and Data
Engineering, 2005, Vol.17, pp.1300-1304.