Application of Data Mining in Marketing and Managing Customer Relationship

Publish Year: 1387
نوع سند: مقاله کنفرانسی
زبان: English
View: 3,008

This Paper With 14 Page And PDF Format Ready To Download

  • Certificate
  • من نویسنده این مقاله هستم

این Paper در بخشهای موضوعی زیر دسته بندی شده است:

استخراج به نرم افزارهای پژوهشی:

لینک ثابت به این Paper:

شناسه ملی سند علمی:

IMMC03_073

تاریخ نمایه سازی: 11 آذر 1387

Abstract:

Development of new technologies has made relationship marketing a reality in recent years. Technologies such as data warehousing, data mining, and campaign management software have made customer relationship management a new area where firms can gain competitive advantages. Particularly through data mining which is the extraction of hidden knowledge or predictive information from large databases, organizations can identify valuable customers, predict future behaviors, and enable firms to make proactive and knowledge-driven decisions. Various techniques exist among data mining approach, each with their own advantages and challenges for different types of applications in business and marketing context. The focus of this paper is to describe the role of the data mining in improving marketing performance and customer relationship management by advancing the firms’ ability to form effective relationships with their valuable customers. This paper starts with an introduction of data mining and essential roles of CRM in today’s competitive market. Then, it describes data mining process, tasks and techniques comprehensively. Finally, it sums up with applications of data mining in marketing and CRM.

Authors

Neda Khalilzadeha

Students of Joint MSc program in marketing and electronic commerce between Lulea University of Technology Division of Industrial Marketing and Tarbiat Modares University Department of Industrial Engineering

Parham Jafari Moghadam Fardb

Students of Joint MSc program in marketing and electronic commerce between Lulea University of Technology Division of Industrial Marketing and Tarbiat Modares University Department of Industrial Engineering

مراجع و منابع این Paper:

لیست زیر مراجع و منابع استفاده شده در این Paper را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود Paper لینک شده اند :
  • Lee, S.J., Siau, K., A revie» of data mining techniques, ...
  • Voges, K.E., aDd Pope, N.K.L1., An Cherview of Data Mining ...
  • Hau, J. and Kamber, M. Darta Min.ing Concepts ond Techniques, ...
  • Berry M. J. A. aud Linoff G. S., Data Miring ...
  • Dlond, A..Gupta، A.. and Vadlavkar, S., Data Mining Techriques for ...
  • Mitra, S., & Achaya, _ Data Mining Multimedia, Soft Computing, ...
  • Kantardzic, M., Data Mining: Concepts, Models, Methods, ard Algorithms, Joln ...
  • Fayyad.U., Pi atetsky- Slapiro, G., , and Snytl, P., From ...
  • Ho, T.B (nd), Knowledge discovery ond data mining techniques and ...
  • Bousaythip C. aud Rinta-Runsala E., Oerviev of Data Mining for ...
  • Agrawal, R. and Srikaut, R, Miming sequehtial patterms, In Proc. ...
  • Ayad, A.M., _ New» Algorithm for Icrepnental Mining of Constrained ...
  • Reye s-Aldasoro, C.C., Ganguly, A., Lemus, G.. Gupta, A. _ ...
  • BaIsal, K.. Vadhavkar, S., Gupta, A., Neural Netvorks Based Forecasting ...
  • Larose D. T., Discovering Knowledge in Data: An Int.oduction _ ...
  • نمایش کامل مراجع