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A Pattern Based Data Mining Approach

  • Boris Delibašić
  • Kathrin Kirchner
  • Johannes Ruhland
Part of the Studies in Classification, Data Analysis, and Knowledge Organization book series (STUDIES CLASS)

Abstract

Most data mining systems follow a data flow and toolbox paradigm. While this modular approach delivers ultimate flexibility, it gives the user almost no guidance on the issue of choosing an efficient combination of algorithms in the current problem context. In the field of Software Engineering the Pattern Based development process has empirically proven its high potential. Patterns provide a broad and generic framework for the solution process in its entirety and are based on equally broad characteristics of the problem. Details of the individual steps are filled in at later stages. Basic research on pattern based thinking has provided us with a list of generally applicable and proven patterns. User interaction in a pattern based approach to data mining will be divided into two steps: (1) choosing a pattern from a generic list based an a handful of characteristics of the problem and later (2) filling in data mining algorithms for the subtasks.

Keywords

Data Mining Order Book Data Mining Algorithm Data Mining Software Pattern Base Approach 
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 2008

Authors and Affiliations

  • Boris Delibašić
    • 1
  • Kathrin Kirchner
    • 2
  • Johannes Ruhland
    • 2
  1. 1.Faculty of Organizational Sciences, Center for Business Decision-MakingUniversity of BelgradeBelgradeSerbia
  2. 2.Department of Business Information SystemsFriedrich-Schiller-UniversityJenaGermany

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