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Vol.1 , No. 4, Publication Date: Oct. 24, 2014, Page: 66-74
| [1] | Haastrup Adeleye Victor, Department of Computer Technology, Yaba College of Technology, Yaba, Lagos. |
| [2] | Oladosu Olakunle Abimbola, Department of Computer Technology, Yaba College of Technology, Yaba, Lagos. |
| [3] | Okikiola Folasade Mercy, Department of Computer Technology, Yaba College of Technology, Yaba, Lagos. |
| [4] | Oladiboye Olasunkanmi Esther, Department of Computer Technology, Yaba College of Technology, Yaba, Lagos. |
| [5] | Ishola Patience Eloho, Department of Computer Technology, Yaba College of Technology, Yaba, Lagos. |
Customer behavior analytics is based on consumer buying behavior, with the customer playing the roles of user, payer and buyer. The concern of many organizations is no longer on the individual buyer but rather on collective or organizational buying behavior which help in determining which customers are worth developing and managing by putting unique strategies in place in order to attract specific customers. Through analysis of customers’ behavior, accurate profiles are being generated by specifying needs and interest and allowing business to give customers what they want it, when they want, leading to a better customer satisfaction thereby keeping them to come back for more. While large-scale information technology has been evolving separate transaction and analytical systems, data mining provides the link between the two. Data mining software analyzes relationships and patterns in stored transaction data based on open-ended user queries. Considering previous studies authors’ finds out the scope to go for research in market basket analysis using three different algorithms namely Association Rule Mining, Rule Induction Technique and Apriori Algorithm. Authors will make a comparative study of three techniques and adopt the best conclusion.
Keywords
Online Analytic Processing (OLAP), Behavior, Open-Ended, Customer, Data Mining
Reference
| [01] | Abdul-salam .S.O.adewole, K. b. (2004). In Data mining techniques for knowledge discovery. finance institute database. |
| [02] | Abhijit, R. &. (1994). A source for consumer behavior analysis. In Data Mining Technique. VivekanandTarabai Park: . |
| [03] | AC Yeo, KA Smith, RJ Willis and M Brooks, Journal of the operation research society: 2002, A mathematical programming approach to optimize insurance premium pricing within a data mining framework. |
| [04] | AkashRajak & Mahendra Kumar Gupta (2012).Association rule mining: application in various area. Krishna institutes of engineering and technology, Delhi-Merrut highway, Ghaziabad-201206, (U.P.). |
| [05] | Alex Berson, Stephen Smith, Kurt Thearling(2000).Building data mining applications for customer relationship management CRM.McGraw Hill. |
| [06] | Al-Radaideh, Q., Al-Shawakfa, E. & Al- Najjar, M. (2006), Mining Student Data Using Decision Trees, International Arab Conference on Information Technology (ACIT'2006), and Yarmouk University, Available on: |
| [07] | Ana Cristina, Bicharra Garcia, Inhauma Ferraz and Adriana S. Vivacqua, Artificial Intelligence for engineering design, analysis and manufacturing: 2009, from data to Knowledge Mining |
| [08] | Anthony Danna, Oscar H. Gandy, and Journal of business ethics: 2002, all that glitters is not gold: Digging Beneath the surface of data mining. |
| [09] | Available on: http://www.cs.waikato.ac.nz/ml/weka/[accessed December 15, 2011] |
| [10] | Baglin, C. A. (2001). Linking eligibility for early intervention services to school age educational disability. Unpublished doctoral dissertation, Johns Hopkins University, Baltimore, Maryland. |
| [11] | Balaji Padmanabhan and Alexander Tuzhilin, Institute for Operation Research and Management Science: 2011, On the use of optimization for data mining: Theoretical Interaction and e-CRM opportunities. |
| [12] | Barry, M. (2000). In M. d. mining. New york: wiley computer. |
| [13] | Che-Chern Lin, Hung-Jen Yang, Lung-HsingKuo, (2009) "Behaviour analysis of internet survey completion using decision trees: An exploratory study", Online Information Review, Vol. 33 Iss: 1, pp.117 – 134. |
| [14] | Chung, H. .. (1999). Data mining. In journal of management informatiuon system. (pp. 11-17). |
| [15] | Daniel Lowd & Jesse Davis (2002).learning markov network structure with decision tree, university of Oregon, Eugene, Belgium. |
| [16] | El-Halees, A. (2008), mining students’ data to analyze learning behavior: a case study, |
| [17] | Fayyad, U. (2001). communications of the ACM. In The Digital Physics of mining (pp. (44:3),62-65.). |
| [18] | Glymour, C. &. (1996). Communications of the ACM. In Statiscal Inferenceand Data mining. |
| [19] | Han, J. (2001). In Data mining: concept and techniques. Morgan-kaufmann Academic Press. |
| [20] | Hand, D. (1998). The American Statistician. In Data mining:Statistic and more (pp. (52:2)112-118). |
| [21] | Himanshu, S. (2008). In Consumer Behavior. |
| [22] | http://titania.addu.edu.ph/researches/DECISION/SUPPORT/Mining/Student/DataUsing decision Trees.pdf [pristup 10.january 2012.]A |
| [23] | http://uqu.edu.sa/files2/tiny_mce/plugins/filemanager/files/30/papers/f158.pdfaccessed January 10 2012] |
| [24] | http://www.psychology.about.com |
| [25] | http://www.webnoxcorp |
| [26] | Jianning Dong, William Perrizo & Qin Ding (2006).The application of association rule mining to remotely sensed data. Fargo. |
| [27] | Kotsiantis, S.B. & Pintelas, P.E. (2005), Predicting Students Marks in Hellenic Open University, ICALT 2005. Fifth IEEE International Conference on Advanced Learning Technologies, Kaohsiung, pp. 664– 668. |
| [28] | Kumar S. A. & Vijayalakshmi M. N. (2011), Efficiency of Decision Trees in Predicting Student's Academic Performance, First International Conference on Computer Science, Engineering and Applications, CS and IT 02, Dubai, pp. 335-343. |
| [29] | Kurt Thearling (2002). Data mining and customer relationships. AICCSA (2009).Computer systems and applications, IEEE/ACS International conference on 10-13 May 2009. |
| [30] | Leonid Churilov. Adyl Bagirov, Daniel Schwarta, Kate Smith, Michael Dally , Journal of management information system : 2005, Data mining with combined use of optimization techniques and self organizing maps for improving risk grouping rules : application to prostate cancer patients |
| [31] | Machine Learning Group at University of Waikato, |
| [32] | Minaei-Bidgoli, B. Kashy, D.A., Kortemeyer G. & Punch WF (2003), Predicting student performance: an application of data mining methods with the educational web-based systems LON-CAPA, 33rd ASEE/IEEE Frontiers in Education Conference, Boulder, pp.13-18. |
| [33] | Minaei-Bidgoli, B., Punch, W.F. (2003), Using Genetic Algorithms for Data Mining Optimization in an Educational Web-based System, GECCO 2003 Genetic and Evolutionary Computation Conference, Chicago, pp. 2252-2263. |
| [34] | Nan-Chen, H. &.-C. (2011). In Enhancing consumer Behavior analysis by data minin. ROC. Taipei. |
| [35] | Peacock, P. (1998). In Data mining in marketing (pp. 9-18). marketing management,winte. |
| [36] | Rachid Anane, Computer and the humanities: 2001, Data mining and serial documents. |
| [37] | Romero C. Ventura S. Espejo, P.G. & Hervás C. (2008), Data mining algorithms to classify students, I International Conference on Educational Data Mining (EDM). Montreal, pp. 8-17. |
| [38] | Romero, C. & Ventura, S. (2007), Educational Data Mining: a Survey from 1995 to 2005, Expert Systems with Applications, Elsevier, pp. 135-146. |
| [39] | Shakil Ahmed, Frans Coenen, Paul Leng, Knowledge Information System: 2006, Tree based partitioning of data for association rule mining |
| [40] | smyth.R, f. (1996). In the KDD Process for Extracting usefull knowledge from volumes of data (pp. (39:11),pp27-34). communications of the ACM. |
| [41] | Sreekumar Pulakkazhy & R.V.S Balan (2006).Data mining in banking and its applications-A review,Noorul Islam university, Tamil Nadu,India. |
| [42] | Sreekumar Pulakkazhy (2013).Journal of computer science 9(10):1252-1259, 2013. Noorul Islam university, Tamil Nadu, India. |
| [43] | Superby J.F, Vandamme J.P. & Meskens N. (2006), Determination of Factors Influencing the Achievement of the Firstyear University Students using Data Mining Methods, Proceedings of the 8th international conference on intelligent tutoring systems, Educational Data Mining Workshop, (ITS`06), Jhongali, pp. 37-44. |
| [44] | Timothy T. Rogers, James L. Mcclelland, Behavioral & Brain Sciences: 2008, Precis of Semantic Cognition: A Parallel Distributed Processing Approach. |
| [45] | Ulaanbaatar (2012). Developing a cost-benefit analysis of mining sites in Mongolia, annual report -2011. |
| [46] | Vijaylakshmi, S. &. (2010). In Mining of users’ access behavior for frequent sequential pattern. |
| [47] | William’s.S. (2004). In the promise and pitfall of datamining. Newyork. |
| [48] | Yen-Liang, C. T.-J. (2005). In Market basket Analysis in multiple store environment. Elsevie. |
| [49] | Zekic-Susac M., Frajman-Jaksic A. & Drvenkar N. (2009), Neuron Networks and Trees of Decision-making for Prediction of Efficiency in Studies, Ekonomski vjesnik, Vol.No.2, pp. 314-327. |
