[PDF] On Information-Theoretic Measures of Attribute Importance





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A distance-based attribute selection measure for decision tree

Each attribute measures some feature of an object by means of a value among a set of discrete mutually exclusive values. ID3 performs a heuristic hill-.



Attribute Importance: Contrasting Measurements

attributes in order of attribute importance. Conjoint measurement (Green and Rao 1971) is. 60. Journal of Marketing Research. Vol 



Technical Note - A Distance-Based Attribute Selection Measure for

Abstract This note introduces a new attribute selection measure for ID3-like inductive algorithms. This measure is based on a distance between partitions 



Game Theory and an Improved Maximum Entropy-Attribute Measure

22 ???. 2022 ?. Entropy-Attribute Measure Interval. Model for Predicting Rockburst. Intensity. Mathematics 2022 10



Similarity measures and attribute selection for case-based

6 ???. 2020 ?. measures and attribute selection for case-based reasoning in transcatheter aortic valve implantation. PLoS ONE Public Library of Science



Hybrid Vector Similarity Measures and Their Applications to Multi

sets by hybridizing the concepts of Dice and cosine similarity measures. We present their applications in multi attribute decision making under neutrosophic 



On Information-Theoretic Measures of Attribute Importance

tropy minimization this paper examines information-theoretic measures [2



On Information-Theoretic Measures of Attribute Importance

tropy minimization this paper examines information-theoretic measures [2



Assessing Attribute Importance: A Comparison of Six Methods

Six methods of measuring attribute importance were evaluated for convergent va- lidity. The methods were (1) an open-ended elicitation approach 



Selecting Attributes to Measure the Achievement of Objectives

Measurement of these two objectives is therefore important. The attribute. “dollars of cost” seems obvious for the objective minimize economic cost.

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