IJSER Home >> Journal >> IJSER
International Journal of Scientific and Engineering Research
ISSN Online 2229-5518
ISSN Print: 2229-5518 5    
Website: http://www.ijser.org
scirp IJSER >> Volume 2, Issue 5, May 2011 Edition
Adaptive Classification of Web Mining Methods and Challenges of Customer Relationship Management Domain
Full Text(PDF, 3000)  PP.  
Siavash Emtiyaz, MohammadReza Keyvanpour
CRM Challenges, Customer Relationship Management, Web Mining, Data Mining.
In recent years, World Wide Web has been extended from research society to the most dominant and general way for communication and broadcasting of information. Web mining is responsible to discover the hidden knowledge, rules and patterns from web. Customers always play a key role for the establishment or mean of crisis for any organization. Web mining is going to be involved in every organization for extracting extra information which is not visible for everyone. The most important application of web mining is in the domain of the e-commerce and economy that leads to the detection of most facts and effective factors in the customer relationship management and efficient services to the customers through the behavior and communicating with system. CRM uses data mining (one of the elements of CRM) techniques to interact with customers. It is also used for web mining in web domain.Our Analysis provides a roadmap to guide creation concerning the adaptive classification based on web/data mining methods to solve challenges of CRM. For this, we comparison and analyze the application of web mining process to solution challenges of CRM dimensions.
[1] Shi-Ming Huang, Irene Kwan and Shing-Han Li; ""Web Mining for CRM an Empirical Study of computer Game Service Company"", International Journal of Electronic Business Management, Vol. 1, No. 1, pp. 36-45 (2003).

[2] Jaideep Srivastava;""Data Mining for Customer Relationship Management "",white paper.

[3] Dezhen Feng, Zaimei Zhang, Fang Zhou, Jianheng Ji;"" Application Study of Data Mining on Customer Relationship Management in E-Commerce""; 978-1-4244-3291-2/08/$25.00 ©2008 IEEE.

[4] Olaf Boon, Brian Corbitt, Craig Parker;""Conceptualizing the Requirements of CRM from an Organizational Prespective a Review of the Literature"";School of Information Systems Deakin University,2002.

[5] 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 journal, 2009 Elsevier.R. Nicole, ""The Last Word on Decision Theory,"" J. Computer Vision, submitted for publication. (Pending publication)

[6] Research Team CRMnext Knowledge Base;""CRM Challenges Building an Effective Strategy""; directory group;

[7] Mirela Danubianu, Stanica Anca Maria;""Study Of Improving The Customer Relationship Management By Data Mining Application""; a lecturer in Electrical Engineering and Computer Science, 2009.S.P. Bingulac, “On the Compatibility of Adaptive Controllers,” Proc. Fourth Ann. Allerton Conf. Circuits and Systems Theory, pp. 8-16, 1994. (Conference proceedings).

[8] A.S. Al- Mudimigh, F. Saleem, Z. Ullah, F.N. Al-Aboud; ""Implementation of Data Mining Engine On CRM Improve Customer Satisfaction""; King Saud University, Riyadh, Kingdom of Saudi Arabia; 978-1-4244-4609-4/09/$25.00 ©2009 IEEE.

[9] R. Kosala,H. Blockeel; ""Web Mining Research : A Survey"", In SIGKDD Explorations, ACM SIGKDD,Volume2,Issue1, July 2000

[10] Zdravko Markov, Daniel T. LAROSE;"" Data Mining The Web Uncovering Patterns in Web Content, Structure, and Usage"", WILEY-INTERSCIENCE, 2007.

[11] Jaideep Srivastava, Robert Cooley, Mukund Deshpande, Pang- Ning Tan; ""Web usage mining: discovery And applications of usage patterns from web data"".SIGKDD Explorations, 1(2):12– 23, 2000.

Untitled Page