عنوان: مدیریت دانش و داده کاوی برای بازاریابی
استاد راهنما: جناب آقای دکتر حاجي زين العابديني
تهيه کننده: فاطمه ذات عجم
دانشجوی رشته مدیریت اطلاعات مقطع ارشد دانشگاه شهید بهشتی
سال تحصیلی 97-96
18. 18
مأخذ و منابع فهرست
1.سالجقه،سنجر؛دانیالعربنصرتآبادیوحسنخداییجاللآبادی،1۴3۴،مدیریتدانشو
دادهکاویبرای،بازاریابیکنفرانسبینالمللیمدیریتدرقرن61،تهران.
2. M. Graen, “Technology in Manufacturer/ Retailer Integration: Wall-Mart and
Procter & Gamble”, Private communication, 1999.
3. D. Pepper, M. Rogers, “Is your company ready for one-to-one marketing?”, Harvard
Business Review (2009) 151-160.
4. D. Pepper, M. Rogers, “Enterprise One-to-One: Tools for Competing in Interactive
Age”, Doubleday, New York, 1997.
5. M. Holshemimer, M.L. Kersten, A.P.J.M. Siebs, “Data Surveyor: Searching the
Nuggets in Parallel”, in: U.M. Fayyad, G. PiatetskyShapiro, P.Smyth, R., Advances
in Knowledge Discovery and Data Mining, MIT Press, Massachusetts, 2007,chap.18.
6. C.Hsu, C.A. Knoblock, “Using inductive learning to generate rules for semantic
query” optimization,in:: U.M. Fayyad,G.Piatetsky-Shapiro,P.Smyth,R., Advances in
Knowledge Discovery and Data Mining, MIT Press, Massachusetts, 2006,chap.17.
7. W.Inmon , “Bulding the data warehouse”, Wiley, New York, 2012.
8. S.Kelly, “Data warehousing: The route to Mass customization”, Wiley, New York,
2006.
9. M.J.Shaw, “Machine Learning Methods for Intelligent Decision Support: an
Introduction”, Decision Support Systems 10 (2) (1993) 79-83.
10. J.Han, M.Kamber, “Data mining concepts and techniques, first edition”, Morgan
Kaufman publishers 2001.
11. I.K. Sethi, ”data mining: An introduction”, 2000.
12. G. Piatetsky-Shapiro, C.J. Matheus, Knowledge discovery workbench for exploring
business databases, International Journal of Intelligent Systems 2002. 675–686.
13. W.E. Spangler, J.H. May, L.G. Vargas, Choosing data-mining methods for multiple
classification: representational and performance measurement implications for
decision support, Journal of Management Information System 2010T summer.