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Towards a Pervasive Data Mining Engine—Architecture Overview

  • Rui Peixoto
  • Filipe PortelaEmail author
  • Manuel F. Santos
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 445)

Abstract

Current data mining engines are difficult to use, requiring optimizations by data mining experts in order to provide optimal results. To solve this problem a new concept was devised, by maintaining the functionality of current data mining tools and adding pervasive characteristics such as invisibility and ubiquity which focus on their users, providing better ease of use and usefulness, by providing autonomous and intelligent data mining processes. This article introduces an architecture to implement a data mining engine, composed by four major components: database; Middleware (control); Middleware (processing); and interface. These components are interlinked but provide independent scaling, allowing for a system that adapts to the user’s needs. A prototype has been developed in order to test the architecture. The results are very promising and showed their functionality and the need for further improvements.

Keywords

Data mining Pervasive computing Data mining engine 

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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Rui Peixoto
    • 1
  • Filipe Portela
    • 1
    • 2
    Email author
  • Manuel F. Santos
    • 1
  1. 1.Algoritmi Research CentreUniversity of MinhoBragaPortugal
  2. 2.ESEIGPorto PolytechnicPortoPortugal

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