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Leveraging The C4.5 Algorithm For Adaptive Knowledge Evaluation
Hicham Er-Radi +3 more
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C4.5 Data Algorithm for Industrialized Process
2021Based on the problems of poor water temperature data quality, low prediction accuracy and poor stability in Wireless sensor for water quality monitoring based on Network, a water temperature prediction model for industrial aquaculture (ga-selm) based on genetic algorithm (GA) and improved extreme learning machine (Selm) was proposed.
Pin Ren, Xia Jiang
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Improved C4.5 algorithm based on k-means
Journal of Computational Methods in Sciences and Engineering, 2020When the traditional C4.5 algorithm deals with the big data with a large number of multidimensional continuous attribute values, it may cause the issue of low classification accuracy with the related discretization method. This paper proposes a novel method to discretize continuous data based on the k-means algorithm. The method generates data clusters
Li, Honghui +3 more
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Classification of Cervical Cancer Through C4.5 Algorithm
2021In today’s scenario, cervical malignant growth is one of the most affecting diseases in females. Its pace of event is around 80% in low and middle-pay nations. Cancer research is very important for the early treatment of cancer, which encourages medical treatment facilities for patients.
Sanat Jain, Ashish Jain, Mahesh Jangid
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Enhancement of multiple hypothesis tracking algorithm with C4.5 algorithm
2012 20th Signal Processing and Communications Applications Conference (SIU), 2012In this paper, the improvement provided by the utilization of C4.5 classification algorithm to the hypothesis generation process of the k-best Multi-Hypothesis Tracker (MHT) is investigated. It has been shown through simulations that the pre-filtering the measurements by the C4.5 algorithm, especially in high clutter scenarios, reduces the number of ...
Yetkin Ersoy, Murat Efe, Bora Nakiboglu
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Certainty Factor Based Pruning for C4.5 Algorithm
2019 5th International Conference on Science and Technology (ICST), 2019Classification is the process of group data into data classes according to their patterns. One method that can classify and show relationships between attributes is the decision tree method. The classification method using this decision tree is still challenging to improve, especially those related to increasing accuracy.
Handoyo Widi Nugroho +2 more
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Efficient C4.5 [classification algorithm]
IEEE Transactions on Knowledge and Data Engineering, 2002We present an analytic evaluation of the runtime behavior of the C4.5 algorithm which highlights some efficiency improvements. Based on the analytic evaluation, we have implemented a more efficient version of the algorithm, called EC4.5. It improves on C4.5 by adopting the best among three strategies for computing the information gain of continuous ...
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A C4.5 algorithm for english emotional classification
Evolving Systems, 2017The solutions for processing sentiment analysis are very important and very helpful for many researchers, many applications, etc. This new model has been proposed in this paper, used in the English document-level sentiment classification. In this research, we propose a new model using C4.5 Algorithm of a decision tree to classify semantics (positive ...
Phu Vo Ngoc +3 more
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Classifying crop pest data using C4.5 algorithm
2017 IEEE International Conference on Intelligent Techniques in Control, Optimization and Signal Processing (INCOS), 2017Data mining is a way of exploring large preexisting databases in order to generate new information. It is used to find a relationship between the bulky data set which is very helpful in decision making. In agriculture sector, data mining plays an emerging role.
R. Revathy, R. Lawrance
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Fast Numerical Threshold Search Algorithm for C4.5
2014 IIAI 3rd International Conference on Advanced Applied Informatics, 2014This paper presents a new algorithm to improve the speed of threshold searching process in C4.5 by using the technique of genetic algorithms. In the threshold searching process in C4.5, the values in a numerical attribute are sorted first and then the mid-point between every two consecutive values is calculated and designated as a candidate threshold ...
Chong, Wen Mau +3 more
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