Business Intelligence for N=1 Analytics using Hybrid Intelligent System Approach
The future of business intelligence (BI) is to integrate
intelligence into operational systems that works in real-time
analyzing small chunks of data based on requirements on continuous
basis. This is moving away from traditional approach of doing
analysis on ad-hoc basis or sporadically in passive and off-line mode
analyzing huge amount data. Various AI techniques such as expert
systems, case-based reasoning, neural-networks play important role
in building business intelligent systems. Since BI involves various
tasks and models various types of problems, hybrid intelligent
techniques can be better choice. Intelligent systems accessible
through web services make it easier to integrate them into existing
operational systems to add intelligence in every business processes.
These can be built to be invoked in modular and distributed way to
work in real time. Functionality of such systems can be extended to
get external inputs compatible with formats like RSS. In this paper,
we describe a framework that use effective combinations of these
techniques, accessible through web services and work in real-time.
We have successfully developed various prototype systems and done
few commercial deployments in the area of personalization and
recommendation on mobile and websites.
[1] R. Ling, and D.C. Yen, "Customer relationship management: an analysis
framework and implementation strategies", Journal of Computer
Information Systems, Vol. 41, No. 3, pp. 82-97, 2001.
[2] E. W. T. Ngai, Li Xiu, D. C. K. Chau, "Review: Application of data
mining techniques in customer relationship management: A literature
review and classification", Expert Systems with Applications: An
International Journal, Vol. 36, No. 2, 2592-2602, 2009.
[3] E. W. T. Ngai, "Customer relationship management research (1992-
2002): An academic literature review and classification", Marketing
Intelligence, Planning, Vol. 23. 582-605, 2005.
[4] J. Abbott, M. Stone, F. Buttle, "Customer relationship management in
practice - a qualitative study", Journal of Database Marketing, Vol. 9
No.1, pp.24-34, 2001.
[5] S.L. Pan and J.N. Lee, "Using e-CRM for a unified view of the
customer", Communications of the ACM, 46, (4), 95-99, 2003.
[6] C.K. Prahalad, M.S. Krishnan, The new age of innovation: Driving
Cocreated Value Through Global Networks, Tata McGraw Hill, New
Delhi, 2008
[7] Don Tapscott , Anthony D. Williams, Wikinomics: How Mass
Collaboration Changes Everything, Portfolio, 2006
[8] http://www.trai.gov.in/ accessed on 25 June 2009.
[9] http://www.rbi.org.in/ accessed on 25 June 2009.
[10] E. Turban , J. Aronson , Ting-Peng Liang, Decision Support Systems
and Intelligent Systems (7th Edition), Prentice-Hall, Inc., Upper Saddle
River, NJ, 2004.
[11] R. Bergmann, K-D Althoff, S. Breem, M. Goker, M. Manago, R.
Traphoner, Developing Industrial Case-Based Reasoning Applications,
2nd Ed., Springer, Berlin, 2003.
[12] L. Medsker, Hybrid intelligent systems, Kluwer Academic Publishers,
Boston, 1995.
[13] S. Goonatilake and S. Khebbal, ed. Intelligent Hybrid System, John
Wiley and Sons, 1995.
[14] E. Corchado, J. Corchado, A. Abraham, Innovations in Hybrid
Intelligent System, Springer, 2008.
[15] http://www.w3.org/XML/ accessed on 25 June 2009.
[16] W. Richardson, "The ABCs of RSS". Technology & Learning, Issue 10,
20-24, May 2005.
[17] R.M. Sonar, "An Enterprise Intelligent System Development and
Solution Framework", International journal of applied science,
engineering and technology, Vol. 4, No. 1, 31-35, 2008, Available at
http://www.waset.org/journals/ijaset/v4/v4-1-6.pdf accessed on 25 June
2009.
[18] http://www.ikenstudio.com accessed on 25 June 2009.
[19] J. Kolodner, J., Case-Based Reasoning, Morgan Kaufmann, San Mateo,
CA, 1993.
[20] A. Aamodt, E. Plaza, "Case-Based Reasoning: Foundational Issues,
Methodological Variations, and System Approaches", AI
Communications, Vol. 7:1, 39-52, 1994.
[21] A. Felfernig, G. Friedrich, L. Schmidt-Thieme, "Introduction to the
Recommender Systems", IEEE Intelligent Systems Special Issue, 22(3),
18-21, 2007.
[22] A. Felfernig, R. Burke, "Constraint-based recommender systems:
technologies and research issues", ICEC '08: Proceedings of the 10th
international conference on Electronic commerce, New York, NY,
USA, ACM, 1-10, 2008.
[23] G. Adomavicius, A. Tuzhilin, "Toward the next generation of
recommender systems: a survey of the state-of-the-art and possible
extensions", IEEE Transactions on Knowledge and Data Engineering,
17(6), 734-749, 2005.
[24] R. Burke, 2007. "Hybrid web recommender systems", The Adaptive
Web: Methods and Strategies of Web Personalization, 377-408,
Heidelberg, Germany, Springer, 2007.
[25] M. Balabanovic, Y. Shoham, "Fab: Content-Based, Collaborative
Recommendation", Communications of ACM, Vol. 40, No. 3, 66-72,
1997.
[26] R. Burke, "Knowledge-Based Recommender Systems", Encyclopedia of
Library and Information Systems, A. Kent, ed., Vol. 69, Supplement 32,
Marcel Dekker, 2000.
[27] A. Felfernig, "Koba4MS: Selling Complex Products and Services Using
Knowledge-Based Recommender Technologies", Proc of the Seventh
IEEE International Conference on E-Commerce Technology, July 19-22,
92-100, 2005.
[28] N. Mirzadeh, F. Ricci, M. Bansal, "Feature Selection Methods for
Conversational Recommender Systems", IEEE International Conference
on e-Technology, e-Commerce, and e-Service (EEE-05), Hongkong,
772-777, 2005.
[29] M. Godse, R. Sonar, A. Jadhav, "A Hybrid Approach for Knowledgebased
Product Recommendation", Communications in Computer and
Information Science, Springer, Vol. 31, 268-279, 2009.
[30] A. Jadhav, R. Sonar, "An Integrated Rule-based and Case-based
Reasoning Approach for Selection of the Software Packages",
Communications in Computer and Information Science, Springer-
Verlag, Vol. 31, 280-291, 2009.
[31] http://www.ikensolutions.com/files/en/Mooga_casestudySony.pdf
accessed on 25 June 2009.
[1] R. Ling, and D.C. Yen, "Customer relationship management: an analysis
framework and implementation strategies", Journal of Computer
Information Systems, Vol. 41, No. 3, pp. 82-97, 2001.
[2] E. W. T. Ngai, Li Xiu, D. C. K. Chau, "Review: Application of data
mining techniques in customer relationship management: A literature
review and classification", Expert Systems with Applications: An
International Journal, Vol. 36, No. 2, 2592-2602, 2009.
[3] E. W. T. Ngai, "Customer relationship management research (1992-
2002): An academic literature review and classification", Marketing
Intelligence, Planning, Vol. 23. 582-605, 2005.
[4] J. Abbott, M. Stone, F. Buttle, "Customer relationship management in
practice - a qualitative study", Journal of Database Marketing, Vol. 9
No.1, pp.24-34, 2001.
[5] S.L. Pan and J.N. Lee, "Using e-CRM for a unified view of the
customer", Communications of the ACM, 46, (4), 95-99, 2003.
[6] C.K. Prahalad, M.S. Krishnan, The new age of innovation: Driving
Cocreated Value Through Global Networks, Tata McGraw Hill, New
Delhi, 2008
[7] Don Tapscott , Anthony D. Williams, Wikinomics: How Mass
Collaboration Changes Everything, Portfolio, 2006
[8] http://www.trai.gov.in/ accessed on 25 June 2009.
[9] http://www.rbi.org.in/ accessed on 25 June 2009.
[10] E. Turban , J. Aronson , Ting-Peng Liang, Decision Support Systems
and Intelligent Systems (7th Edition), Prentice-Hall, Inc., Upper Saddle
River, NJ, 2004.
[11] R. Bergmann, K-D Althoff, S. Breem, M. Goker, M. Manago, R.
Traphoner, Developing Industrial Case-Based Reasoning Applications,
2nd Ed., Springer, Berlin, 2003.
[12] L. Medsker, Hybrid intelligent systems, Kluwer Academic Publishers,
Boston, 1995.
[13] S. Goonatilake and S. Khebbal, ed. Intelligent Hybrid System, John
Wiley and Sons, 1995.
[14] E. Corchado, J. Corchado, A. Abraham, Innovations in Hybrid
Intelligent System, Springer, 2008.
[15] http://www.w3.org/XML/ accessed on 25 June 2009.
[16] W. Richardson, "The ABCs of RSS". Technology & Learning, Issue 10,
20-24, May 2005.
[17] R.M. Sonar, "An Enterprise Intelligent System Development and
Solution Framework", International journal of applied science,
engineering and technology, Vol. 4, No. 1, 31-35, 2008, Available at
http://www.waset.org/journals/ijaset/v4/v4-1-6.pdf accessed on 25 June
2009.
[18] http://www.ikenstudio.com accessed on 25 June 2009.
[19] J. Kolodner, J., Case-Based Reasoning, Morgan Kaufmann, San Mateo,
CA, 1993.
[20] A. Aamodt, E. Plaza, "Case-Based Reasoning: Foundational Issues,
Methodological Variations, and System Approaches", AI
Communications, Vol. 7:1, 39-52, 1994.
[21] A. Felfernig, G. Friedrich, L. Schmidt-Thieme, "Introduction to the
Recommender Systems", IEEE Intelligent Systems Special Issue, 22(3),
18-21, 2007.
[22] A. Felfernig, R. Burke, "Constraint-based recommender systems:
technologies and research issues", ICEC '08: Proceedings of the 10th
international conference on Electronic commerce, New York, NY,
USA, ACM, 1-10, 2008.
[23] G. Adomavicius, A. Tuzhilin, "Toward the next generation of
recommender systems: a survey of the state-of-the-art and possible
extensions", IEEE Transactions on Knowledge and Data Engineering,
17(6), 734-749, 2005.
[24] R. Burke, 2007. "Hybrid web recommender systems", The Adaptive
Web: Methods and Strategies of Web Personalization, 377-408,
Heidelberg, Germany, Springer, 2007.
[25] M. Balabanovic, Y. Shoham, "Fab: Content-Based, Collaborative
Recommendation", Communications of ACM, Vol. 40, No. 3, 66-72,
1997.
[26] R. Burke, "Knowledge-Based Recommender Systems", Encyclopedia of
Library and Information Systems, A. Kent, ed., Vol. 69, Supplement 32,
Marcel Dekker, 2000.
[27] A. Felfernig, "Koba4MS: Selling Complex Products and Services Using
Knowledge-Based Recommender Technologies", Proc of the Seventh
IEEE International Conference on E-Commerce Technology, July 19-22,
92-100, 2005.
[28] N. Mirzadeh, F. Ricci, M. Bansal, "Feature Selection Methods for
Conversational Recommender Systems", IEEE International Conference
on e-Technology, e-Commerce, and e-Service (EEE-05), Hongkong,
772-777, 2005.
[29] M. Godse, R. Sonar, A. Jadhav, "A Hybrid Approach for Knowledgebased
Product Recommendation", Communications in Computer and
Information Science, Springer, Vol. 31, 268-279, 2009.
[30] A. Jadhav, R. Sonar, "An Integrated Rule-based and Case-based
Reasoning Approach for Selection of the Software Packages",
Communications in Computer and Information Science, Springer-
Verlag, Vol. 31, 280-291, 2009.
[31] http://www.ikensolutions.com/files/en/Mooga_casestudySony.pdf
accessed on 25 June 2009.
@article{"International Journal of Information, Control and Computer Sciences:64162", author = "Rajendra M Sonar", title = "Business Intelligence for N=1 Analytics using Hybrid Intelligent System Approach", abstract = "The future of business intelligence (BI) is to integrate
intelligence into operational systems that works in real-time
analyzing small chunks of data based on requirements on continuous
basis. This is moving away from traditional approach of doing
analysis on ad-hoc basis or sporadically in passive and off-line mode
analyzing huge amount data. Various AI techniques such as expert
systems, case-based reasoning, neural-networks play important role
in building business intelligent systems. Since BI involves various
tasks and models various types of problems, hybrid intelligent
techniques can be better choice. Intelligent systems accessible
through web services make it easier to integrate them into existing
operational systems to add intelligence in every business processes.
These can be built to be invoked in modular and distributed way to
work in real time. Functionality of such systems can be extended to
get external inputs compatible with formats like RSS. In this paper,
we describe a framework that use effective combinations of these
techniques, accessible through web services and work in real-time.
We have successfully developed various prototype systems and done
few commercial deployments in the area of personalization and
recommendation on mobile and websites.", keywords = "Business Intelligence, Customer Relationship
Management, Hybrid Intelligent Systems, Personalization and
Recommendation (P&R), Recommender Systems.", volume = "3", number = "7", pages = "1876-14", }
