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On Cost and Uncertainty of Decision Trees

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Rough Sets and Current Trends in Computing (RSCTC 2012)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7413))

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Abstract

This paper describes a new tool for the study of relationships between the cost (depth, average depth, number of nodes, etc.) and uncertainty of decision trees, which is closely connected with accuracy of trees. In addition to the algorithm the paper also presents the experimental results of application of our algorithm on some of the datasets acquired from UCI ML Repository [1].

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References

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Author information

Authors and Affiliations

  1. Mathematical and Computer Sciences & Engineering Division, King Abdullah University of Science and Technology, Thuwal, 23955-6900, Saudi Arabia

    Igor Chikalov, Shahid Hussain & Mikhail Moshkov

Authors
  1. Igor Chikalov
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  2. Shahid Hussain
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  3. Mikhail Moshkov
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Editor information

Editors and Affiliations

  1. Department of Computer Science, University of Regina, S4S 0A2, Regina, SK, Canada

    JingTao Yao

  2. School of Information Science and Technology, Southwest Jiaotong University, 610031, Chengdu, P.R. China

    Yan Yang

  3. Institute of Computing Science, Poznan University of Technology, Piotrowo 2, 60-965, Poznan, Poland

    Roman Słowiński

  4. Faculty of Economics, University of Catania, Corso Italia, 55, 95129, Catania, Italy

    Salvatore Greco

  5. School of Management and Engineering, Nanjing University, 210093, Nanjing, Jiangsu, P.R. China

    Huaxiong Li

  6. Machine Intelligence Unit, Indian Statistical Institute (ISI), 700108, Kolkata, India

    Sushmita Mitra

  7. Polish-Japanese Institute of Information Technology, Koszykowa 86, 02-008, Warsaw, Poland

    Lech Polkowski

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© 2012 Springer-Verlag Berlin Heidelberg

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Chikalov, I., Hussain, S., Moshkov, M. (2012). On Cost and Uncertainty of Decision Trees. In: Yao, J., et al. Rough Sets and Current Trends in Computing. RSCTC 2012. Lecture Notes in Computer Science(), vol 7413. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32115-3_22

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  • DOI: https://doi.org/10.1007/978-3-642-32115-3_22

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-32114-6

  • Online ISBN: 978-3-642-32115-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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