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Research on C4.5 Algorithm Optimization For User Churn
2021 IEEE International Conference on Computer Science, Artificial Intelligence and Electronic Engineering (CSAIEE), 2021Decision tree is a kind of machine learning method which can decide a corresponding result according to the probability of different eigenvalues, The effective decision number constructed can provide help for our data analysis. The generation of decision tree is a recursive process, It mainly uses the optimal partition attribute as the corresponding ...
Chao Deng, ZhaoHui Ma
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Network Intrusion Detection System Using C4.5 Algorithm
Journal of Communications Technology, Electronics and Computer Science, 2017There is a great concern about the security of computer these days. The number of attacks has increased in a great number in the last few years, intrusion detection is the main source of information assurance. While firewalls can provide some protection, they fail to provide protection fully and they even need to be complemented with an intrusion ...
Saurabh Fegade +4 more
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Improved C4.5 Algorithm for the Analysis of Sales
2009 Sixth Web Information Systems and Applications Conference, 2009A decision tree is an important means of data mining and inductive learning, which is usually used to form classifiers and prediction models. C4.5 is one of the most classic classification algorithms on data mining, but when it is used in mass calculations, the efficiency is very low. In this paper, the rule of C4.5 is improved by the use of L’Hospital
Rong Cao, Lizhen Xu
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SSL-C4.5: Implementation of a Classification Algorithm for Semi-supervised Learning Based on C4.5
2020Classification algorithms have been extensively studied in many of the major scientific investigations in recent decades. Many of these algorithms are designed for supervised learning, which requires labeled instances to achieve effective learning models.
Agustín Alejandro Ortiz-Díaz +2 more
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The Application and Research of C4.5 Algorithm
Applied Mechanics and Materials, 2014In the sustainable development of private universities, stable teachers team is the guarantee of talent training. For colleges or universities, it has important significance to analysis the main factors which cause teachers loss.C4.5 algorithm is a kind of machine learning algorithm in the classification decision tree algorithm.
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COVID-19 Risk Assessment Using the C4.5 Algorithm
2021The number of confirmed cases of COVID-19 is increasing exponentially day by day across the world because of its super spreading nature. It was started in China and took a very less time to spread all over the globe. Due to its mortality rate, spreading nature, and unavailability of proper medicine and vaccination, it is declared as a pandemic by the ...
Sarmistha Nanda +4 more
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Implementation of C4.5 Algorithm for Diarrhea Prediction
Jurnal Komputer Indonesia (Ju-Komi)Diarrheal disease remains one of the major health problems among toddlers in Indonesia. Environmental factors such as drinking water quality, sanitation, mothers’ hand hygiene, and immunization status play an important role in influencing the occurrence of diarrhea.
null Sipra Barutu, null Siska Simamora
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Privacy Preserving C4.5 Algorithm over Vertically Distributed Datasets
2009 International Conference on Networks Security, Wireless Communications and Trusted Computing, 2009It is a primary task in the privacy-preserving data mining in the distributed environment how to protect privacy and at the same time acquire accurate data relation. This paper shows how two parties built a decision tree collaboratively without revealing privacy when datasets is vertically distributed, including a PPC4.5 algorithm for privacy ...
Yanguang Shen, Hui Shao, Li Yang
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Factors Affecting Household Electrical Usage Using C4.5 Algorithm
2018 6th International Conference on Cyber and IT Service Management (CITSM), 2018this paper is part of the classification, focusing on the classification of high household electrical usage. Electricity needs are increasing while availability is getting smaller, requiring solution in its utilization to be more effective and efficient.
Fina Nasari, Rofiqoh Dewi, null Fujiati
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The Improvement of C4.5 Algorithm and Case Study
2009 Second International Symposium on Computational Intelligence and Design, 2009The paper introduces a balanced coefficient to improve the veracity of C4.5 algorithm. It can be fixed by decision maker according to priori intellectual and domain intellectual. It harmonized the information gain-ratio of each attributes artificially in specific environment.
Rui Li, Xian-mei Wei, Xue-wei Yu
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