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Improving ID3 Algorithm by Ignoring Minor Instances [PDF]

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
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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
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Improvement of Decision Tree ID3 Algorithm

International Conference on Collaborative Computing, 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
Yang Yang, Lin Zhu
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An improved Id3 algorithm for medical data classification

Computers & Electrical Engineering, 2018
Abstract Data mining techniques play an important role in clinical decision making, which provides physicians with accurate, reliable and quick predictions through building different models. This paper presents an improved classification approach for the prediction of diseases based on the classical Iterative Dichotomiser 3 (Id3) algorithm.
Shuo Yang, Jingzhi Guo, Junwei Jin
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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
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Influence of T-norm and T-conorm operators in Fuzzy ID3 algorithm

2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2015
Fuzzy ID3 algorithm is a widely studied classification algorithm in order to induce fuzzy decision trees. The structure of fuzzy decision trees combines the interpretability of the decision trees with the capability of fuzzy logic on uncertainty. The fuzzy inference procedure of fuzzy decision trees is a crucial manner for the classification problems ...
Nasibov, EFENDİ, KINAY, AYŞE ÖVGÜ, Kantarci, Suzan, VAHAPLAR, ALPER   +3 more
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Implementing ID3 algorithm for gender identification of Bangladeshi people

2016 3rd International Conference on Electrical Engineering and Information Communication Technology (ICEEICT), 2016
Data mining is the procedure of breaking down data from unlike perspectives and resuming it into useful information. It is very important in the field of classification of the objects. It has been fruitfully applied in expert systems to get knowledge.
Md. Shamsuzzaman, Md. Sazzad Hossain, Md. Ahsan Habib   +2 more
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The study of cross-validated bagging fuzzy-ID3 algorithm for breast cancer classification

Journal of Intelligent & Fuzzy Systems, 2022
Globally, the second most common cause of death for female cancer patients is breast cancer. In the United States, about 11,000 females aged below 40 are diagnosed with invasive breast cancer each year.
Nurfadhilah Idris, Mohd Arfian Ismail
semanticscholar   +1 more source

Improving the ID3 Algorithm By Filtering Out Attributes With Values Of 0 or 1

International Conference on Information Technology, 2022
The iterative Dichotomiser 3 (ID3) algorithm is a classification algorithm that generates a decision tree, and it is one of the most simple and well-known tools. However, there is still room for improvement.
Pinyarat Chuenprasertsuk, K. Jearanaitanakij   +1 more
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