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An Improved Decision Tree Algorithm Using Rough Set Theory in Clinical Decision Support System [PDF]

, 2012
In the Clinical Decision Support System (CDSS), over-fitting phenomenon may appear when decision tree algorithm was used. For this problem, this paper will make use of the Rough Set theory to the training set for attribute reduction, the decision tree built by using the decision tree algorithm was used to predict the test data. In this paper, 46 copies
Hua Chu, Jian'guo Zhang, Qingshan Li
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Aronszajn trees and the SCH [PDF]

, 2012
These notes are based on results presented by Itay Neeman at the Appalachian Set Theory workshop on February 28, 2009. Spencer Unger was the official note-taker and based these notes closely on Neeman’s lectures. The purpose of the workshop was to present a recent theorem due to Neeman [16]. Theorem 1.
Itay Neeman, Spencer Unger
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The Construction of Decision Tree Information Processing System Based on Rough Set Theory

2010 Third International Symposium on Information Processing, 2010
The article integrates decision tree with rough set, and it makes up of decision tree information processing system. Firstly it carries out pretreatment for information with rough set, which is regarded as front system of decision tree, and then forms student credit analysis system of decision tree with pretreated information.
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Axiomatic fuzzy set theory-based fuzzy oblique decision tree with dynamic mining fuzzy rules

Neural Computing and Applications, 2019
This paper proposes a novel classification technology—fuzzy rule-based oblique decision tree (FRODT). The neighborhood rough sets-based FAST feature selection (NRS_FS_FAST) is first introduced to reduce attributes. In the axiomatic fuzzy set theory framework, the fuzzy rule extraction algorithm is then proposed to dynamically extract fuzzy rules.
Yuliang Cai, Huaguang Zhang, Shaoxin Sun, Xianchang Wang, Qiang He   +4 more
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NB Tree Based Intrusion Detection Technique Using Rough Set Theory Model

2019
Security is an important need for any organization to establish trust and consequently prevents misuse. Intrusion detection system (IDS) is a defense mechanism that strives to differentiate between legitimate and malicious activities with intent to secure the resource and henceforth establish trust. Due to this importance significant amount of research
Ritu Prasad, Neha Gupta, Praneet Saurabh, Bhupendra Verma   +3 more
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Reduct Generation by Formation of Directed Minimal Spanning Tree Using Rough Set Theory

2012
In recent years, dimension of datasets has increased rapidly in many applications which bring great difficulty to data mining and pattern recognition. Also, all the measured variables of these high-dimensional datasets are not relevant for understanding the underlying phenomena of interest.
Asit Kumar Das, Shampa Sengupta, Saikat Chakrabarty   +2 more
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Using Rough Set Theory and Decision Trees to Diagnose Enterprise Distress – Consideration of Corporate Governance Variables

2014
This study discusses the key factors of financial distress warning models for companies using corporate governance variables and financial ratios as the research variables, sieving out influential variables based on the attribute simplification process of rough set theory (RST).
Fu-Hsiang Chen, Der-Jang Chi, Chun-Yi Kuo   +2 more
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Decision Tree Construction from Knowledge Discovered by Rough Sets Theory

Proceedings of the … International Conference on Operational Research, 2008
Decision Tree Construction from Knowledge Discovered by Rough Sets ...
Vrbka, Jasna, Dalbelo Bašić, Bojana
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Monotonic decision trees on rough set theory in machine learning approach

Communication and Computing Systems, 2016
Anurag Baghel, Aarushi Singh
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A New Method for Constructing Decision Tree Based on Rough Set Theory

, 2007
Longjun Huang, Minghe Huang, Bin Guo, Zhiming Zhang   +3 more
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