Abstract
With the rapid growth of e-commerce applications, Internet shopping is becoming part of our daily lives. Traditional Web-based product searching based on keywords searching seems insufficient and inefficient in the ‘sea’ of information. In this paper, we propose an innovative intelligent multi-agent based environment, namely (iJADE) - intelligent Java Agent Development Environment - to provide an integrated and intelligent agent-based platform in the e-commerce environment. In addition to contemporary agent development platforms, which focus on the autonomy and mobility of the multi-agents, iJADE provides an intelligent layer (known as the ‘conscious layer’) to implement various AI functionalities in order to produce ‘smart’ agents. From the implementation point of view, iJADE eMiner consists of two main modules: 1) a visual data mining and visualization system for automatic facial authentication based on the FAgent model, and 2) a fuzzy-neural based shopping agent (FShopper) to facilitate Web-mining on Internet shopping in cyberspace.
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Lee, R.S.T., Liu, J.N.K. (2001). iJADE eMiner - A Web-Based Mining Agent Based on Intelligent Java Agent Development Environment (iJADE) on Internet Shopping. In: Cheung, D., Williams, G.J., Li, Q. (eds) Advances in Knowledge Discovery and Data Mining. PAKDD 2001. Lecture Notes in Computer Science(), vol 2035. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45357-1_6
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DOI: https://doi.org/10.1007/3-540-45357-1_6
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