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- W2553612491 abstract "ntroduction The World Wide Web has established itself an interactive mean for the collection of the information always becoming more and more popular especially for the e-business domain. The vastness of the Web, the heterogeneity of the calculators connected to it, the various architectures of data storage ant the speed through which these cab change have induced the research useful information in real time. As consequence, the researchers have developed active forms of data mining which have been added to the passive classical one. The intelligent agent computing and intelligent agent – mediated e-business fields are also exciting research areas which are full of potential and challenges. Usually, the research is prompted by two natural observations. On the one side, there are many computing paradigms available to support multiple hosts to communicate over a network such as client – server remote procedure calling, remote evaluation, code – on – demand, and object migration. For a better mobility of the intelligent agents and a quick knowledge discovery, some data mining techniques may be used. Knowledge discovery is defined as ``the nontrivial extraction of implicit, unknown, and potentially useful information from data'' [1]. In [2], a clear distinction between data mining and knowledge discovery is drawn. Under their conventions, the knowledge discovery process takes the raw results from data mining (the process of extracting trends or patterns from data) and carefully and accurately transforms them into useful and understandable information. This information is not typically retrievable by standard techniques but is uncovered through the use of AI techniques [3]." @default.
- W2553612491 created "2016-11-30" @default.
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- W2553612491 date "2008-01-01" @default.
- W2553612491 modified "2023-09-27" @default.
- W2553612491 title "Knowledge Management and Intelligent Agents in an E-Business Environment" @default.
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