Abstract
Data mining has matured as a field of basic and applied research in computer science in general and e-commerce in particular. In this paper, we survey some of the recent approaches and architectures where data mining has been applied in the fields of e-commerce and e-business. Our intent is not to survey the plethora of algorithms in data mining; instead, our current focus being e-commerce, we limit our discussion to data mining in the context of e-commerce. We also mention a few directions for further work in this domain, based on the survey.
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References
Agrawal R, Srikant R 1994 Fast algorithms for mining association rules. In20th Int. Conf. on Very Large Databases (New York: Morgan Kaufmann) p 487–499
Ansari S, Kohavi R, Mason L, Zheng Z 2001 Integrating e-commerce and data mining: architecture and challenges. InProc. 2001 IEEE Int. Conf. on Data Mining (New York: IEEE Comput. Soc.) pp 27–34
Auguste D M 2001 Customer service in e-business.IEEE Internet Comput. 5(5): 90–91
Berendt B, Hotho A, Stumme G 2002 Towards semantic web mining. InProc. First Int. Semantic Web Conference, Sardinia, Italy
Box G, Jenkins G, Reinsel G 1994Time series analysis: Forecasting and control 3rd edn (Englewood Cliffs, NJ: Prentice Hall)
Carbone P L 2000 Expanding the meaning of and applications for data mining. InIEEE Int. Conf. on Systems, Man, and Cybernetics (New York: IEEE) pp 1872–1873
Glymour C, Madigan D, Pregibon D, Smyth P 1996 Statistical inference and data mining.Commun. ACM 39(11):
Gujarati D 2002Basic econometrics (New York: McGraw-Hill/Irwin)
Haykin S 1998Neural networks: A comprehensive foundation 2nd edn (Englewood Cliffs, NJ: Prentice-Hall)
Hertz J, Krogh A, Palmer R G 1994Introduction to the theory of neural computation (Reading, MA: Addison-Wesley)
Hollfelder S, Oria V, Ozsu M T 2000 Mining user behavior for resource prediction in interactive electronic malls. InIEEE Int. Conf. on Multimedia and Expo (New York: IEEE Comput. Soc.) pp 863–866
Hu X, Cercone N 2002 An olam framework for web usage mining and business intelligence reporting. InProc. IEEE Int. Conf. on Fuzzy Systems, FUZZ-IEEE'02 (New York: IEEE Comput. Soc.) pp 950–955
Jeng J J, Drissi Y 2000 Pens: a predictive event notification system for e-commerce environment. InThe 24th Annu. Int. Computer Software and Applications Conference, COMPSAC 2000, pp 93–98
Kimball R, Reeves L, Ross M, Thornthwaite W 1998The data warehouse lifecycle toolkit: Expert methods for designing, developing, and deploying data warehouses (New York: Wiley)
Kohavi R 2001 Mining e-commerce data: The good, the bad, and the ugly. InProceedings of the Seventh ACMSIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2001) (New York: ACM Press) pp 8–13
Kohavi R, Mason L, Parekh R, Zheng Z 2004 Lessons and challenges from mining retail e-commerce data.Machine Learning J. (Special Issue on Data Mining Lessons Learned)
Koperski K, Adhikary J, Han J 1996 Spatial data mining: Progress and challenges.J. Data Mining Knowledge Discovery
Krishnaswamy S, Zaslavsky A, Loke S W 2000 An architecture to support distributed data mining services in e-commerce environments. InSecond Int. Workshop on Advanced Issues of E-Commerce and Web-Based Information Systems, WECWIS 2000, pp 239–246
Lazarevic A, Xu X, Fiez T, Obradovic Z 1999 Clustering-regression-ordering steps for knowledge discovery in spatial databases. InProc. of IEEE/INNS Int. Conf. on Neural Neural Networks, Washington
Marakas G M 2002Modern data warehousing, mining, and visualization: core concepts (Englewood Cliffs, NJ: Prentice-Hall)
Mobasher B 2004 Web usage mining and personalization. InPractical handbook of internet computing (ed.) M P Singh (CRC Press)
Neter J, Kutner M, Nachtsheim C J, Wasserman W 1996Applied linear statistical models (New York: McGraw-Hill/Irwin)
Niu L, Yan X W, Zhang C Q, Zhang S C 2002 Product hierarchy-based customer profiles for electronic commerce recommendation. InInt. Conf. on Machine Learning and Cybernetics pp 1075–1080 289
Park S 2000 Neural networks and customer grouping in e-commerce: a framework using fuzzy art. InAcademia/Industry Working Conference on Research Challenges, pp 331–336
Pudi V, Haritsa J 2000 Quantifying the utility of the past in mining large databases.Inf. Syst. 25: 323–344
Pudi V, Haritsa J 2002 On the efficiency of association rule-mining algorithms. InAdvances in knowledge discovery and data mining Lecture Notes in Artificial Intelligence (LNAI) 2336, (eds) M Chen, P Yu, B Liu (Berlin: Springer) pp 80–91
Sarukkai R R 2000 Link prediction and path analysis using markov chains. InProceedings of the 9th International World Wide Web Conference, Amsterdam
Spiliopoulou M, Pohle C 2000 Data mining to measure and improve the success of web sites.J. Data Mining and Knowledge Discovery
Vallamkondu S, Gruenwald L 2003 Integrating purchase patterns and traversal patterns to predict http requests in e-commerce sites. InIEEE Int. Conf. on e-commerce, pp 256–263
Wang W, Zaiane O R 2002 Clustering web sessions by sequence alignment. In13th Int. Workshop on Database and Expert Systems Applications pp 394–398
Woon Y K, Ng W K, Lim E P 2002 Online and incremental mining of separately-grouped web access logs. InProc. Third Int. Conf. on Web Information Systems Engineering, WISE 2002 (New York: IEEE Comput. Soc.) p 53–62
Zaki M J 2000 Scalable algorithms for association mining.IEEE Trans. Knowledge Data Eng. 19: 372–390
Zhang Y Q, Shteynberg M, Prasad S K, Sunderraman R 2003 Granular fuzzy web intelligence techniques for profitable data mining. In12th IEEE Int. Conf. on Fuzzy Systems, FUZZ '03 (New York: IEEE Comput. Soc.) pp 1462–1464
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Srinivasa Raghavan, N.R. Data mining in e-commerce: A survey. Sadhana 30, 275–289 (2005). https://doi.org/10.1007/BF02706248
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DOI: https://doi.org/10.1007/BF02706248