This paper presents a flexible mining system built on a multi-tier architecture. The architecture of the system is designed on the Model-View-Controller design pattern. The aim of the paper is to define and validate a process of knowledge discovery, starting from structured and unstructured data, in a distributed and heterogeneous environment by integrating Data and Web Mining techniques. The system is able to provide new added value e-Knowledge services in order to meet the diverse e-Knowledge needs of e-business, by driving the user through the three stages of the knowledge discovery, data preparation, data and web mining and result analysis, in an innovative unique process of workflow that integrates a set of existing tools. Each e-Knowledge service represents the result of an orchestration of reusable building blocks, with well defined tasks, able to interoperate among them. Finally, a case study is shown.
|Titolo:||A Flexible Mining Architecture for Providing New E-Knowledge Services|
|Data di pubblicazione:||2005|
|Nome del convegno:||38th Annual Hawaii International Conference on System Sciences, HICSS05|
|Digital Object Identifier (DOI):||http://dx.doi.org/10.1109/HICSS.2005.13|
|Appare nelle tipologie:||4.1 Contributo in Atti di convegno|