Results 171 to 180 of about 3,645 (221)

Improved Decision Tree Algorithm: ID3+

2006
This paper proposed an improved decision tree algorithm, ID3+. Through the performance of autonomous backtracking, information gain reduction and surrogate value, our method overcomes some ID3’s disadvantages, such as preference bias and the inability to deal with unknown attribute values. The experimental results show that our method can competitively
Min Xu, Jian-Li Wang, Tao Chen
openaire   +1 more source

Improving ID3 Algorithm by Ignoring Minor Instances

2018 22nd International Computer Science and Engineering Conference (ICSEC), 2018
Among various classification algorithms, ID3 is one of the most widely used and well-known tools that generates an efficient decision tree. Nevertheless, ID3 is too rigorous in generating the decision rules. As a result, the final decision tree may carry too many decision rules.
Nicha Kaewrod, Kietikul Jearanaitanakij
openaire   +1 more source

Implementation of Modified ID3 Algorithm

2017
Data classification algorithms are very important in real world applications like- intrusion classification, heart disease prediction, cancer prediction etc. This paper presents a novel decision tree based technique for data classification. Basically it is an enhanced variant of ID3 algorithm.
Latika Mehrotra, Prashant Sahai Saxena, Nitika Vats Doohan   +2 more
openaire   +1 more source

MRI mammogram image classification using ID3 algorithm

IET Conference on Image Processing (IPR 2012), 2012
Breast cancer is one of the most common forms of cancer in women. In order to reduce the death rate , early detection of cancerous regions in mammogram images is needed. The existing system is not so accurate and it is time consuming. The Proposed system is mainly used for automatic segmentation of the mammogram images and classify them as benign ...
A.S.P. Angayarkanni, B.D.N.B. Kamal
openaire   +1 more source

Improving ID3 Algorithm by Using A* Search

2017 21st International Computer Science and Engineering Conference (ICSEC), 2017
ID3 is one of the most widely used algorithms for creating a classification decision tree. However, the traditional ID3 algorithm has a difficulty when there are equally important attributes during the decision node construction. It randomly selects one of the most important attributes to serve as the current decision node.
Nicha Kaewrod, Kietikul Jearanaitanakij
openaire   +1 more source

ID3 optimization algorithm based on interestingness gain

2011 IEEE 3rd International Conference on Communication Software and Networks, 2011
Aimed at the backwards of the information gain in ID3, through the improvement of information gain on interests of the users, and based on the calculating specialties of information gain in ID 3, the article reduces the backwards of decision tree's attribute dependency towards more value by decision tree optimization through twice information gain and ...
Liu Zhongtao, Wang Hong
openaire   +1 more source

Classification of Student Achievement Using ID3 Algorithm

Applied Mechanics and Materials, 2012
In this paper, ID3 Algorithm in Decision Tree is introduced and used to sort computer operation achievement, give useful information to students and teachers.
Ming Hua Jiang, Xiao Suo Luo
openaire   +1 more source

Improvement of Decision Tree ID3 Algorithm

2017
This paper describes the basic concepts of the ID3 algorithm and its principles as well as the construction process. Because ID3 algorithm tends to select values for more attributes shortcomings, we introduce threshold, properties information gain rate and parameters to compensate for the lack of ID3 properties selected standard. Based on the above two
Lin Zhu, Yang Yang
openaire   +1 more source

Continuous ID3 algorithm with fuzzy entropy measures

[1992 Proceedings] IEEE International Conference on Fuzzy Systems, 2003
Fuzzy entropy measures are used to obtain a quick convergence of a continuous ID3 (CID3) algorithm proposed by K.J. Cios and N. Liu (1991), which allows for self-generation of a hierarchical feedforward neural network architecture by converting decision trees into hidden layers of a neural network.
K.J. Cios, L.M. Sztandera
openaire   +1 more source

A game AI based on ID3 algorithm

2016 2nd International Conference on Contemporary Computing and Informatics (IC3I), 2016
Traditional game AI is aimed at the standard players in the beginning of the construction. After designing the AI, The whole game decision-making system will not be dynamically adjusted, Because of the strong regularity, the traditional game AI is easy to be found the weakness by users, which is not easy to maintain the rationality of the decision ...
Yang Li, Dai-Wen Xu
openaire   +1 more source