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Relationships Between Length And Coverage Of Exact Decision Rules: A Dynamic Programming Approach.pdf

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Preview of Relationships Between Length and Coverage of Exact Decision Rules: A Dynamic Programming Approach
🔗 Source: ceur-ws.org
📊 Size: 233 KB
👤 Author: beata
⬇️ Downloads: 31

Summary

It focuses on exact irredundant decision rules, where length is the number of descriptors and coverage is the number of rows for which the rule is realizable and the decision is correct. The goal is to find FT,r(m), the maximum coverage of a decision rule true for T, realizable for row r, with length at most m, and GT,r, the minimum length among all irredundant decision rules for T and r with coverage at least p. The paper includes an algorithm for constructing a directed acyclic graph with subtables of T as nodes and discusses how to find values of GT,r using values of FT,r, with experimental results from UCI ML Repository decision tables. It also defines key notions related to decision tables and rules, including irredundant decision rules, and presents a lemma regarding these rules.

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Description

The tool aims to aid in data mining, knowledge discovery, and machine learning applications. Experimental results using decision tables from the UCI Machine Learning Repository are presented.

Technical Information

  • File Format: PDF
  • File Size: 233 KB
  • Pages: 12
  • Language: EN
  • Author: beata
  • Total Downloads: 31
  • Last Updated: 2 hours ago

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Relationships guideRelationships tutorialBetween guideBetween tutorialLength guideLength tutorialCoverage guideCoverage tutorialExact guideExact tutorialDecision guideDecision tutorialRules: guideRules: tutorialDynamic guideDynamic tutorialProgramming guideProgramming tutorialApproach guideApproach tutorial

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