Results 151 to 160 of about 1,047,288 (209)

A fast algorithm for attribute reduction based on Trie tree and rough set theory

SPIE Proceedings, 2013
Attribute reduction is an important issue in rough set theory. Many efficient algorithms have been proposed, however, few of them can process huge data sets quickly. In this paper, combining the Trie tree, the algorithms for computing positive region of decision table are proposed.
Xiao Yan Wang, Chuan-jiang Luo, Feng Hu, Feng Hu   +3 more
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Induction of Decision Trees Based on the Rough Set Theory

1998
This paper aimed at two following objectives. One was the introduction of a new measure (R-measure) of dependency between groups of attributes in a data set, inspired by the notion of dependency of attribute in the rough set theory. The second was the application of this measure to the problem of attribute selection in decision tree induction, and an ...
Tu Bao Ho, Masayuki Kimura, Trong Dung Nguyen   +2 more
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Notice of Retraction: Algorithm of constructing decision tree based on rough set theory

2010 International Conference on Computer and Communication Technologies in Agriculture Engineering, 2010
Problem of classification is the main research target of many algorithms in machine learning and data mining. Of all the algorithms, decision tree is more preferred by researchers due to its clarity and readability. Attribute of little value domain is the important feature of training dataset of decision trees.
Chunxue Wei, Baowei Song
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Data-driven decision tree learning algorithm based on rough set theory

Proceedings of the 2005 International Conference on Active Media Technology, 2005. (AMT 2005)., 2005
Decision tree pre-pruning is an effective method to solve the over-fitting problem in decision tree learning process. However, it is difficult to estimate the exact time to stop the growing process of a decision tree, which limits the developments and applications of this method.
Guoyin Wang, Yu Wu, De-Sheng Yin
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Modelling the effect of forest site conditions on the ecophysiological suitability of tree species: an approach based on fuzzy set theory

Computers and Electronics in Agriculture, 2000
Manfred J. Lexer, Karl Hönninger, Harald Vacik   +2 more
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The Based on Rough Set Theory Development of Decision Tree after Redundant Dimensional Reduction

2015 Fifth International Conference on Advanced Computing & Communication Technologies, 2015
Decision tree technologists have been examined to be a helpful way to find out the human decision making within a host. Decision tree performs variable screening or feature selection. It requires relatively lesser effort from the users for the preparation of the data.
Priya Pal, Deepak Motwani
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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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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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