Greedy Algorithm for the Construction of Approximate Decision Rules for Decision Tables with Many-Valued Decisions
Type
Book ChapterKAUST Department
Applied Mathematics and Computational Science ProgramComputer Science Program
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Date
2016-10-21Online Publication Date
2016-10-21Print Publication Date
2016Permanent link to this record
http://hdl.handle.net/10754/622200
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The paper is devoted to the study of a greedy algorithm for construction of approximate decision rules. This algorithm is applicable to decision tables with many-valued decisions where each row is labeled with a set of decisions. For a given row, we should find a decision from the set attached to this row. We consider bounds on the precision of this algorithm relative to the length of rules. To illustrate proposed approach we study a problem of recognition of labels of points in the plain. This paper contains also results of experiments with modified decision tables from UCI Machine Learning Repository.Citation
Azad M, Moshkov M, Zielosko B (2016) Greedy Algorithm for the Construction of Approximate Decision Rules for Decision Tables with Many-Valued Decisions. Lecture Notes in Computer Science: 24–50. Available: http://dx.doi.org/10.1007/978-3-662-53611-7_2.Sponsors
Research reported in this publication was supported by the King Abdullah University of Science and Technology (KAUST). The authors wish to express their gratitude to anonymous reviewers for useful comments.Publisher
Springer NatureAdditional Links
http://link.springer.com/chapter/10.1007%2F978-3-662-53611-7_2ae974a485f413a2113503eed53cd6c53
10.1007/978-3-662-53611-7_2