An Intelligent Information System for Detecting Web Commerce Transactions

  • Ioannis Anagnostopoulos
  • George Kouzas
  • Christos Anagnostopoulos
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3528)


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.


Generalise Regression Neural Network Electronic Market Pattern Layer Commerce Transaction Diagonal Cell 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Ioannis Anagnostopoulos
    • 1
  • George Kouzas
    • 2
  • Christos Anagnostopoulos
    • 3
  1. 1.Dpt of Information and Communication Systems EngineeringUniversity of the AegeanKarlovassi, SamosGreece
  2. 2.School of Electrical and Computer EngineeringNational Technical University of AthensZographou, AthensGreece
  3. 3.Department of Cultural Technology and CommunicationUniversity of the AegeanMytiline, LesvosGreece

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