Abstract
The modern business organizations are adopting technological advancement to achieve competitive edge and satisfy their consumer. The development in the field of information technology systems has changed the way of conducting business today. Business operations today rely more on the data they obtained and this data is continuously increasing in volume. The data stored in different locations is difficult to find and use without the effective implementation of data mining and Knowledge management techniques. Organizations that smartly identify, obtains and then converts data in useful formats for their decision making and operational improvements create additional value for their customers and enhance their operational capabilities. Marketers and customer relationship departments of firm uses data mining techniques to make relevant decisions, this paper emphasize on the identification of different data mining and knowledge management techniques that are applied to different business industries. The challenges and issues of execution of these techniques are also discussed and critically analyzed in this paper.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Jashapara, A.: Knowledge Management: An Integrated Approach, 2nd edn. Pearson Education, Essex (2011)
Bacon, D.: Marketing. In: Klosgen, W., Jan, Z. (eds.) Handbook of Data Mining and Knowledge Discovery, pp. 715–725. Oxford University Press, New York (2002)
Needle, D.: Business in context: An Introduction to Business and its environment, 4th edn. Thomson Learning, London (2004)
Turban, E., Sharda, R., Aronson, J., King, D.: Business Intelligence: A Managerial Approach. Pearson Education Inc, New Jersey (2008)
Fayyad, U.(nd): Optimize Customer Interaction and Profits–with Advanced Mining Techniques. www.watts-associates.com/docs/article/digimine.pdf. Accessed 27 Aug 2017
Shaw, M.J., Subrumaniam, C., Tan, G.W., Welge, M.E.: Knowledge management and data mining for marketing. Decis. Support Syst. 31, 127–137 (2001)
Ayinde, A.Q., Odeniyi, O.A., Sarumi, O.A.: Mining parent socio-economic factors to predict students’ academic performance in Osun state college of technology, Esa-Oke. Int. J. Eng. Res. Technol. 2(12), 1677–1683 (2013). ISSN (P): 2278-0181
Adetunji, A.B., Ayinde, A.Q., Odeniyi, O.A., Adewale, J.A.: Comparative analysis of data mining classifiers in analyzing clinical data. Int. J. Eng. Res. Technol. 2(12), 1671–1676 (2013). ISSN (P): 2278-0181
Alavi, M., Leidner, D.E.: Review: Knowledge management and knowledge management systems: conceptual foundations and research issues. MIS Q. 25(1), 107–136 (2001)
Hlupic, V., Pouloudi, A., Rzevski, G.: Towards an integrated approach to knowledge management: ‘hard’, ‘soft’ and ‘abstract’ issues. Knowl. Process Manag. 9(2), 90–102 (2002)
Bender, S., Fish, A.: The transfer of knowledge and retention of expertise: the continuing need for global assignment. J. Knowl. Manag. 4(2), 125–137 (2000)
Anand, A., Singh, M.: Understanding knowledge management: a literature review. Int. J. Eng. Sci. Technol. 3(2), 936–937 (2011). ISSN (P): 0975-5462
Carrillo, P.M., Robinson, H.S., Anumba, C.J., Al-Ghassani, A.M.: IMPaKT: a framework for linking knowledge management to business performance. Electron. J. Knowl. Manag. 1(1), 1–12 (2003)
Melton, M.: An evaluation of NTWU’s Knowledge Management System on Undergraduates Satisfaction and Academic Performance. Master of Education Thesis, National Taiwan Normal University, Taipei, Taiwan (2010)
Swan, J., Scarbourough, H., Hislop, D.: Knowledge management and innovations: networks and networking. J. Knowl. Manag. 3(4), 262–275 (1999)
Debowski, S.: Knowledge Management. Wiley, Australia (2006)
Greco, M., Grimadi, M., Hannandi, M.: How to select knowledge management system: a framework to support managers. Int. J. Eng. Bus. Manag. 5(5), 1–11 (2013)
An, X., Wang, W.: Knowledge management technologies and applications: a literature review. In: Proceedings of International Conference on Advanced Management Science, Beijing, China, 9–11 July 2010, vol. 1, pp. 138–141 (2010)
Siliwattananusam, T., Tuamsuk, K.: Data mining and its applications for knowledge management: a literature review from 2007 to 2012. Int. J. Data Mining Knowl. Manag. Process 2(5), 1–12 (2012)
Fayyad, U., Piatetsky-Shapiro, G., Smyth, P.: From data mining to knowledge discovery in databases. Mag. Am. Assoc. Artif. Intell. 17(3), 37–54 (1997)
Han, J., Kamber, M., Pei, J.: Data Mining Concepts and Techniques, 3rd edn. Elservier Inc, Walthan, MA (2012)
Fayyad, U.M., Piatetsky-Shapiro, G., Smyth, P., Uthurusamy, R.: Advances in Knowledge Discovery and Data Mining. AAAI/MIT Press, Cambridge (1996)
Ayinde, A.Q., Adetunji, A.B., Odeniyi, O.A., Bello, M.: Performance evaluation of naive bayes and decision stump algorithms in mining students’ educational data. Int. J. Comput. Sci. 10(4(1)), 147–151 (2013)
Fayyad, U., Piatetsky-Shapiro, G., Smyth, P.: The KDD process for extracting useful knowledge from volumes of data. Commun. ACM 39(11), 27–34 (1996)
Cheng, S., Dai, R., Xu, W., Shi, Y.: Research on data mining and knowledge management and its applications in china economic development: significance and trends. Int. J. Inf. Technol. Decis. Making 5(4), 585–596 (2006)
Nakhaizheizadeh, G., Steurer, E., Bartlmae, K.: Banking and Finance. In: Klosgen, W., Jan, Z. (eds.) Handbook of Data Mining and Knowledge Discovery, pp. 771–780. Oxford University Press, New York, NY (2002, 2004)
Kalkan, V.D.: An overall view of knowledge management challenges for global business. J. Bus. Process Manag. 14(3), 390–400 (2008)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
Mahmood, Z. (2019). Data Mining and Knowledge Management Application to Enhance Business Operations: An Exploratory Study. In: Arai, K., Kapoor, S., Bhatia, R. (eds) Advances in Information and Communication Networks. FICC 2018. Advances in Intelligent Systems and Computing, vol 886. Springer, Cham. https://doi.org/10.1007/978-3-030-03402-3_40
Download citation
DOI: https://doi.org/10.1007/978-3-030-03402-3_40
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-03401-6
Online ISBN: 978-3-030-03402-3
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)