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Application of id3 algorithm in knowledge acquisition for tolerance design

JOURNAL OF MATERIALS PROCESSING TECHNOLOGY 2001年第1-2期117卷 66-74页

作者： Shao, XY Zhang, GJ Li, PG Chen, YB Huazhong Univ Sci & Technol Sch Mech Sci & Engn Wuhan 430074 Hubei Peoples R China Univ Michigan Dept Ind & Mfg Syst Engn Dearborn MI 48128 USA

Knowledge-processing technology can be used to aid engineering design. This paper presents the application of an id3 algorithm in knowledge acquisition for the tolerance design of injection-molded parts. The overall structure of a knowledge-based system for tolerance design is briefly illustrated. After a classification of factors that influence tolerance has been made, some key attributes for collecting knowledge cases are studied through fuzzy representation and processing. The detailed procedure of utilizing an id3 algorithm for tolerance-related knowledge acquisition is introduced, including calculating the information gain measure (entropy) and generating the final decision tree. The method can be easily applied to other engineering areas and the result has great value in practice. The advantages and disadvantages of this method are discussed in Section 5. (C) 2001 Published by Elsevier Science B.V.

关键词： knowledge acquisition id3 algorithm tolerance design injection molding

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An improved improved id3 algorithm for medical data classification

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COMPUTERS & ELECTRICAL ENGINEERING 2018年 65卷 474-487页

作者： Yang, Shuo Guo, Jing-Zhi Jin, Jun-Wei Univ Macau Fac Sci & Technol Dept Comp & Informat Sci Macau Peoples R China

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. The improved id3 algorithm overcomes multi-value bias problem when selecting test/split attributes, solves the issue of numeric attribute discretization and stores the classifier model in the form of rules by using a heuristic strategy for easy understanding and memory savings. Experiment results show that the improved id3 algorithm is superior to the current four classification algorithms (J48, Decision Stump, Random Tree and classical id3) in terms of accuracy, stability and minor error rate. (C) 2017 Elsevier Ltd. All rights reserved.

关键词： id3 algorithm Decision tree Balance function Numeric attribute discretization Rule representation of classifier model

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id3 algorithm based object discrimination for multi object tracking 14

ID3 algorithm based object discrimination for multi object t...

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International Symposium on Communications and Information Technologies

作者： Kim, Young-Nam Yu, Hye-Yeon Kim, Moon-Hyun Sungkyunkwan Univ Dept Informat & Commun Engn 300 Chunchun Jangahn Suwon 440746 South Korea

ISBN: (纸本)9781479944163

In this paper, we assume that a single pedestrian is a single blob, and define the representative properties of blobs to selection between merge and split of blobs. And we collect attribute information of the blob and make decision tree by using the id3 algorithm. Next, we experimented for dividing the decision tree by directing the status of merge and split, as a result, it is possible to generate a pedestrian trajectory of the individual.

关键词： id3 algorithm decision tree FCM clustering A* algorithm object tracking

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The study of cross-validated bagging fuzzy-id3 algorithm for breast cancer classification

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JOURNAL OF INTELLIGENT & FUZZY SYSTEMS 2022年第3期43卷 2567-2577页

作者： idris, Nur Farahaina Ismail, Mohd Arfian Univ Malaysia Pahang Coll Comp & Appl Sci Fac Comp Pekan Pahang Malaysia

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. Early detection of breast cancer is the foundation for preventing the progression of the disease, and the diagnosis can be conducted using intelligent systems for quicker detection. Based on the FUZZYDBD method and bootstrap aggregation (bagging) technique, the Bagging fuzzy-id3 algorithm (BFid3) was proposed for this study. This method combined the techniques of the fuzzy system, id3 algorithm and bagging. For BFid3's data fuzzification, the automatic fuzzy database definition method, known as the FUZZYDBD method, would assist in developing the fuzzy database. One of the weaknesses of the id3 algorithm is its incapability to handle continuous data. The problem was resolved via the linguistic variable replacement and data fuzzification in the BFid3. Meanwhile, this paper's implementation of the bagging technique improved the generalization ability and reduced overfitting. Additionally, BFid3 was verified through an extensive comparison with several existing methods to investigate the competency of the proposed method. The study identified that BFid3 was proficient in breast cancer classification.

关键词： Fuzzy system id3 algorithm bagging breast cancer

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Construction of forestry resource classification rule decision tree based on id3 algorithm

Construction of forestry resource classification rule decisi...

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1st International Workshop on Education Technology and Computer Science

作者： Danwa, Song Ning, Han Dandan, Liu Beijing Forestry Univ Sch Engn Beijing Peoples R China China Informat Technol Designing & Consulting Ins Zhengzhou Peoples R China

ISBN: (纸本)9780769535579

This paper emphasized on the implementation of id3 algorithm in forestry resource classification rule decision tree. Use id3 algorithm to analysis the correlation information among forestry species, altitude, origin, forest group and rows by establishing decision tree model, and provide reference for the related decision support. It is proved that this method has a good application prospect in forest resource mode evaluation.

关键词： Decision tree id3 algorithm Forest resource classification information

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An improved id3 algorithm based on attribute importance-weighted

An improved ID3 algorithm based on attribute importance-weig...

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2nd International Workshop on Database Technology and Applications (DBTA)

作者： Luo, Hongwu Chen, Yongjie Zhang, Wendong Chengdu Univ Technol Chengdu Peoples R China Res Inst Petr Explorat & Dev Lanzhou Peoples R China China Univ Petr Coll Comp & Commun Engn Dongying Peoples R China

ISBN: (纸本)9781424469772

For the problems of large computational complexity and splitting attribute selection inclining to choose the attribute which has many values in id3 algorithm, this paper presents an improved algorithm based on the Information Entropy and Attribute Weights. In the improved algorithm, it has been combined with the Taylor's theorem and Attribute Similarity theorem to simplify the calculation of Entropy and determine the attribute importance weights, and an amended information gain is accomplished as the attribute selection criteria. The results of experiment comparison proved that the algorithm can improve the speed of classification, significantly improve the accuracy of rules, and derive more practical rules for applications.

关键词： Decision tree id3 algorithm Taylor Formula Information Gain Attribute Similarity

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The Air Cargo Strategy Based on Apriori and id3 algorithm

The Air Cargo Strategy Based on Apriori and ID3 Algorithm

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5th International Conference on Wireless Communications, Networking and Mobile Computing

作者： Li Hongyan Wu Zhong Li Cheng Shanghai Univ Engn Sci Sch Management Studies Shanghai 201620 Peoples R China

ISBN: (纸本)9781424436927

This article mines the air cargo customer information and establishes the decision tree of the id3 association rules from the id3 algorithm. It finds frequent customer information using Apriori algorithm and finally gets the best combination of customer information. The combination has some significance on the development of air cargo.

关键词： id3 algorithm Apriori algorithm customer information

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Research and Realization of Security Policy in IPSec Based on id3 algorithm

Research and Realization of Security Policy in IPSec Based o...

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1st International Conference on Multimedia Information Networking and Security (MINES 2009)

作者： Yang Ming Guo Shuxu Jilin Univ Coll Elect Sci & Engn Changchun 130012 Peoples R China

ISBN: (纸本)9780769538433

IPSec is a policy-driven security mechanism. How to react on the diversity of network security and quickly generate corresponding security policy is one of the core issues of IPSec. This article introduces the traditional IPSec security policy and demonstrates an improved mechanism of implementing the IPSec security policy. Secondly, it constructs the security policy model based on id3 algorithm by adding the policy engine components for enhancing efficiency and flexibility of security policy management for IPSec. Finally, through a case analysis, it describes the dynamic generation process of IPSec security policy.

关键词： IPSec security policy id3 algorithm decision tree

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An Improved id3 algorithm

An Improved ID3 Algorithm

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2nd International Conference on Advances in Computational Modeling and Simulation (ACMS 2013)

作者： Li, Jufang Lei, Jinhui Zhao, Xiaoxia Zhang, Changchang Han, Xuexue Kunming Univ Sci & Technol Kunming Peoples R China

ISBN: (纸本)9783037859063

id3 algorithm is the earliest and most influential of decision tree algorithm. This paper discusses the basic idea and implementation methods of the 1D3 algorithm. A new algorithm based on attribute similarity for multivalued bias of 1D3 algorithm was proposed, and the experimental results proved that the improved algorithm has strong predictive accuracy and better understandability.

关键词： Decision tree id3 algorithm Attribute similarity

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Improvement of id3 algorithm Based on Simplified Information Entropy and Coordination Degree

Improvement of ID3 Algorithm Based on Simplified Information...

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Chinese Automation Congress (CAC)

作者： Wang Ying-ying Li Yi-bin Rong Xue-wen Shandong Univ Sch Control Sci & Engn Jinan 250061 Shandong Peoples R China Shandong Univ Jinan Shandong Peoples R China

ISBN: (纸本)9781538635247

In data classification mining, the decision tree method is a key algorithm. id3 (Iterative Dichotomiser 3) algorithm which was presented by Quinlan is a famous decision tree algorithms, but id3 has some shortcomings such as high complex computation in computing the information entropy expression, multivalue bios problem in the process of selecting an optimal attribute, large scales, etc. In order to solve the above problems, the improved id3 algorithm is proposed, which combines the simplified information entropy with coordination degree in rough set theory. The experiment result has proved the feasibility of the optimized way.

关键词： decision tree algorithm id3 algorithm information entropy coordination degree

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