کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4943655 1437637 2017 8 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Regression trees for multivalued numerical response variables
ترجمه فارسی عنوان
درختان رگرسیون برای متغیرهای عددی چندمقداری
کلمات کلیدی
درختان رگرسيون؛ متغیرهای چندمقدار؛ متغیرهای مودال؛ فاصله محرک زمین؛ فاصله Mallows
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
چکیده انگلیسی


- A regression tree for multivalued numerical response is provided.
- A distance-based impurity criterion is defined.
- A real world case study is presented.

In the framework of regression trees, this paper provides a recursive partitioning methodology to deal with a non-standard response variable. Specifically, either multivalued numerical or modal response of the type histogram will be considered. These data are known as symbolic data, which special cases are classical data, imprecise data, conjunctive data as well as fuzzy data. In spite of pre-processing data in order to deal with standard regression tree methodology, this paper provides, as main contribution, a definition of the impurity measure and of the splitting criterion allowing for building the regression tree for multivalued numerical response variable. We analyze and evaluate the performance of our proposal, using simulated data as well as a real-world case studies.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Expert Systems with Applications - Volume 69, 1 March 2017, Pages 21-28
نویسندگان
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