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Lazy Classification Algorithms Based on Deterministic and Inhibitory Association Rules

Chapter
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Part of the Studies in Computational Intelligence book series (SCI, volume 163)

Abstract

In this chapter, we consider the same classification problem as in Chap. 5: for a given decision table T and a new object v it is required to generate a value of the decision attribute on v using values of conditional attributes on v.

To this end, we divide the decision table T into a number of information systems S i , i ∈ Dec(T), where Dec(T) is the set of values of the decision attribute in T. For i ∈ Dec(T), the information system S i contains only objects (rows) of T with the value of the decision attribute equal to i.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  1. 1.University of RzeszowPoland
  2. 2.University of Silesia, SosnowiecPoland
  3. 3.Warsaw University, WarsawPoland

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