Results 21 to 30 of about 288,093 (186)
IEEE Access, 2019 Traditional decision trees for fault diagnosis often use an ID3 construction algorithm. For promoting the accuracy and efficiency of decision trees, considering the cluster validity and fault rates, this paper proposes two improved trees, CV-DTs and FR ...
Junyou Shi, Qingjie He, Zili Wang
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Entropy based C4.5-SHO algorithm with information gain optimization in data mining [PDF]
PeerJ Computer Science, 2021 Information efficiency is gaining more importance in the development as well as application sectors of information technology. Data mining is a computer-assisted process of massive data investigation that extracts meaningful information from the datasets.
G Sekhar Reddy, Suneetha Chittineni
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AN IMPROVED C4.5 MODEL CLASSIFICATION ALGORITHM BASED ON TAYLOR’S SERIES [PDF]
Jordanian Journal of Computers and Information Technology, 2019 C4.5 is one of the most popular algorithms for rule base classification. Many empirical features in the algorithm exist, such as continuous number categorization, missing value handling and over-fitting.
Sinam I. Idriss, Abdulwahab Lawan
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Applied Research of Decision Tree Method on Football Training
MATEC Web of Conferences, 2015 This paper will make an analysis of decision tree at first, and then offer a further analysis of CLS based on it. As CLS contains the most substantial and most primitive decision-making idea, it can provide the basis of decision tree establishment.
Liu Jinhui
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Medical Texture Recognition Based on Intelligent Technique [PDF]
Engineering and Technology Journal, 2016 The aim of this paper is to improve a disease diagnosing system through classifying the skin diseases depending on the skin images of many patients by using the multiwavelet transformation. First, extract features from multiwavelet coefficients.
Hasanen S. Abduallah, Hajer Mazin Salih
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An Applied Research of Decision Tree Algorithm in Track and Field Equipment Training
MATEC Web of Conferences, 2015 This paper has conducted a study on the applications of track and field equipment training based on ID3 algorithm of decision tree model. For the selection of the elements used by decision tree, this paper can be divided into track training equipment ...
Liu Shaoqing, Wang Kebin
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Knowledge Extraction with Interval Temporal Logic Decision Trees [PDF]
arXiv, 2023 Multivariate temporal, or time, series classification is, in a way, the temporal generalization of (numeric) classification, as every instance is described by multiple time series instead of multiple values. Symbolic classification is the machine learning strategy to extract explicit knowledge from a data set, and the problem of symbolic classification
arxiv
Effect of Aging Time on Deformation Behavior of Lead-Free and Lead Base Solders Alloys [PDF]
Engineering and Technology Journal, 2018 The effect of aging time on the deformation behavior of lead-free and lead- based sub-mm solder alloys were investigated. Experimental results showed that the aging time (less than 4 hours) did not have any effect on the anisotropy behavior of Tin solder
Alaa Ali
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Global Evaluation for Decision Tree Learning [PDF]
arXiv, 2022 We transfer distances on clusterings to the building process of decision trees, and as a consequence extend the classical ID3 algorithm to perform modifications based on the global distance of the tree to the ground truth--instead of considering single leaves.
arxiv
Discrete Dynamics in Nature and Society, 2022 With the systematization, informatization, and intelligence of the management and operation of communication enterprises, the amount of audit content and business data is increasing.
Yuna Si
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