Abstract
This paper proposes an algorithm for detecting web transactions through web page classification. The algorithm is implemented over a generalised regression neural network and detects e-commerce pages classifying them to the respective transaction phase according to a framework, which describes the fundamental phases of commercial transactions in the web. Many types of web pages were used in order to evaluate the robustness of the method, since no restrictions were imposed except for the language of the content, which is English. Except from revealing the accomplished sequences in a web commerce transaction, the system can be used as an assistant and consultative tool for classification purposes.
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van Rijsbergen, C.J.: Information Retrieval, 2nd edn. Butterworths, London (1979)
Salton, G.: Automatic Text Processing. Addison-Wesley Publishing Company Inc., Reading (1989)
Kohonen, T., Kaski, S., Lagus, K., Salojarvi, J., Honkela, J., Paatero, V., Saarela, A.: Self organization of a massive document collection. IEEE Transactions on Neural Networks 11(3), 574–585 (2000); Special Issue on Neural Networks for Data Mining and Knowledge Discovery
Lin, C.-H., Chen, H.: An automatic indexing and neural network approach to concept retrieval and classification of multilingual (Chinese-English) documents. IEEE Transactions on Systems, Man and Cybernetics, Part B, 75–88 (1996)
Rialle, V., Meunier, J., Oussedik, S., Nault, G.: Semiotic and Modeling Computer Classifica-tion of Text with Genetic Algorithm: Analysis and first Results. In: Proceedings ISAS 1997, pp. 325–330 (1997)
Anagnostopoulos, I., Anagnostopoulos, C., Papaleonidopoulos, I., Loumos, V., Kayafas, E.: A proposed system for segmentation of information sources in portals and search engines repositories. In: 5th IEEE International Conference of Information Fusion 2000, IF 2002, Annapolis, Maryland, USA, July 7-11, vol. 2, pp. 1450–1456 (2002)
Klose, M., Lechner, U.: Design of Business Media - An integrated Model of Electronic Commerce. In: 5th Americas Conference on Information Systems (AMCIS 1999), pp. 115–117 (1999)
Schmid, B.F., Lindemann, M.A.: Elements of a reference model for electronic markets. In: Proceedings of the Thirty-First Hawaii International Conference on System Sciences, vol. 4, pp. 193–201 (1998)
Schmid, B.: What is new about the Digital Economy. Electronic Markets 11(1) (April 2001)
Timmers, P., Gadient, Y., Schmid, B., Selz, D.: Business Models for Electronic Markets. Electronic Commerce in Europe, EM - Electronic Markets 8(2) (July 1998)
Anagnostopoulos, I., Psoroulas, I., Loumos, V., Kayafas, E.: Implementing a customised meta-search interface for user query personalisation. In: IEEE 24th International Conference on Information Technology Interfaces, ITI 2002, Cav-tat/Dubrovnik, CROATIA, June 24-27, pp. 79–84 (2002)
Yang, Y., Pedersen, J.: A comparative study on feature selection in text categoriza-tion. In: Proceedings of the 14th International Conference in Machine Learning, ICML 1997, Nashville, TN, USA, pp. 412–420 (1997)
Buckley, C., Salton, G., Allan, J.: Automatic retrieval with locality information using SMART. In: Proceedings of the 1st Text REtrieval Conference (TREC-1), Gaithersburg, MD, USA, pp. 59–72 (1993)
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© 2005 Springer-Verlag Berlin Heidelberg
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Anagnostopoulos, I., Kouzas, G., Anagnostopoulos, C. (2005). An Intelligent Information System for Detecting Web Commerce Transactions. In: Szczepaniak, P.S., Kacprzyk, J., Niewiadomski, A. (eds) Advances in Web Intelligence. AWIC 2005. Lecture Notes in Computer Science(), vol 3528. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11495772_7
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DOI: https://doi.org/10.1007/11495772_7
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-26219-0
Online ISBN: 978-3-540-31900-9
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