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Improving ID3 Algorithm by Using A* Search [PDF]
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
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Applied Mechanics and Materials, 2013
ID3 algorithm is the earliest and most influential of decision tree algorithm. This paper discusses the basic idea and implementation methods of the ID3 algorithm. A new algorithm based on attribute similarity for multivalued bias of ID3 algorithm was proposed, and the experimental results proved that the improved algorithm has strong predictive ...
Xiao Xia Zhao +4 more
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ID3 algorithm is the earliest and most influential of decision tree algorithm. This paper discusses the basic idea and implementation methods of the ID3 algorithm. A new algorithm based on attribute similarity for multivalued bias of ID3 algorithm was proposed, and the experimental results proved that the improved algorithm has strong predictive ...
Xiao Xia Zhao +4 more
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2010 3rd International Conference on Computer Science and Information Technology, 2010
as the classical algorithm of the decision tree classification algorithm, ID3 is famous for the merits of high classifying speed easy, strong learning ability and easy construction. But when use it to classify, there does exist the problem of inclining to chose attributions which has many values, which affects its practicality.
Xie Niuniu, Liu Yu-xun
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as the classical algorithm of the decision tree classification algorithm, ID3 is famous for the merits of high classifying speed easy, strong learning ability and easy construction. But when use it to classify, there does exist the problem of inclining to chose attributions which has many values, which affects its practicality.
Xie Niuniu, Liu Yu-xun
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Threshold extended ID3 algorithm
SPIE Proceedings, 2012Information exchange over insecure networks needs to provide authentication and confidentiality to the database in significant problem in datamining. In this paper we propose a novel authenticated multiparty ID3 Algorithm used to construct multiparty secret sharing decision tree for implementation in medical transactions.
E. Madhusudhan +3 more
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The application of ID3 algorithm in aviation marketing
2007 IEEE International Conference on Grey Systems and Intelligent Services, 2007In view of the actual demand of the current aviation enterprise, this paper uses ID3 classification algorithm of data mining to analyze the investigation data obtained in a waiting hall at an airport. It also points out what customer community the marketing strategy should pay attention to in the process of developing the high-end customer in the ...
Sun Qiang, Zhu Jinfu, Yan Ke-wu
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An Improved ID3 Decision Tree Algorithm
Advanced Materials Research, 2014As the classical algorithm of the decision tree classification algorithm, ID3 algorithm is famous for the merits of high classifying speed, strong learning ability and easy construction. But when used to make classification, the problem of inclining to choose attributions which have many values affect its practicality.
Yue Tong, Xiao Juan Chen, Zhi Gang Zhang
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An improved ID3 decision tree algorithm
2009 4th International Conference on Computer Science & Education, 2009Decision tree is an important method for both induction research and data mining, which is mainly used for model classification and prediction. ID3 algorithm is the most widely used algorithm in the decision tree so far. Through illustrating on the basic ideas of decision tree in data mining, in this paper, the shortcoming of ID3's inclining to choose ...
Luo Delin, Mu Fen-xiang, Chen Jin
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Improved Decision Tree Algorithm: ID3+
2006This 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
Tao Chen, Min Xu, Jian-Li Wang
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Spam Email Detection using ID3 Algorithm and Hidden Markov Model
Conference Information and Communication Technology, 2018Emails are the way to communicate over the Internet but this method of communication is bothersome by the Spam emails. Spam emails are the waste of memory, money, time and communication bandwidth. Thus, Spam emails needed to be identified and culminated.
V. Kumar +3 more
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Genetic Algorithm Based Fuzzy ID3 Algorithm
2004In this paper, we propose a genetic algorithm (GA) based fuzzy ID3 algorithm to construct a fuzzy classification system with both high classification accuracy and compact rule base size. This goal is achieved by two key steps. First, we optimize by GA the parameters controlling the means and variances of fuzzy membership functions and leaf node ...
Su-Hwang Hsieh +3 more
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