Classification and Optimization of Decision Trees for Inconsistent Decision Tables Represented as MVD Tables by Mohammad Azad, Mikhail Moshkov

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Experiments on software error prediction using Decision Tree and Random Forest algorithms by Ilona Bluemke, Paweł Borsukiewicz

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Developing Defense Strategies from Attack Probability Trees in Software Risk Assessment by Marko Esche, Federico Grasso Toro

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Comparison of Decision Trees with Rényi and Tsallis Entropy Applied for Imbalanced Churn Dataset by Krzysztof Gajowniczek, Tomasz Ząbkowski, Arkadiusz Orłowski

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EVALUATION OF DATA COLLECTION TREE ROUTING PROTOCOLS FOR WIRELESS SENSOR NETWORKS by Do Huy Khoi

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A novel controllability method on temporal networks based on tree model by Peyman Arebi

“…A new method for controlling temporal networks is proposed, in which the intervention of all the dynamics of temporal networks can provide the possibility to speed up the network controllability processes. In the proposed method, the network dynamics are stored in the tree data structure to reduce the computational complexity of the algorithm for finding control nodes while maintaining essential information in controllable processes. …”
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A 3D X-tree optimized for Complex Indoor Building Models by L. Niu, L. Niu, Z. Wang

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Research on the dependence relationship and the dynamic evolution in the carbon emission trading system of China by Xianbo Wu, Xianbo Wu, Xiaofeng Hui, Jiwen Cao

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Accelerated preprocessing in task of searching substrings in a string by A. V. Mazurenko, N. V. Boldyrikhin

“…Besides, it is applicable in solving information security issues and creating antivirus programs. …”
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Dynamic Anomaly Detection in the Chinese Energy Market During Financial Turbulence Using Ratio Mutual Information and Crude Oil Price Movements by Lin Xiao, Arash Sioofy Khoojine

“…In this study, stock prices and trading volumes were used as the key variables to build bootstrap-based minimum spanning trees (BMSTs) using ratio mutual information (RMI). …”
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Event-Tree Based Sequence Mining Using LSTM Deep-Learning Model by János Abonyi, Richárd Károly, Gyula Dörgö

“…The goal of this paper is to expand the application of the LSTM-based models upon obtaining information based on prediction. In this method, by predicting transition probabilities, the output layer is interpreted as a probability model by creating a prediction tree of sequences instead of just a single sequence. …”
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Improved CKD classification based on explainable artificial intelligence with extra trees and BBFS by Ahmed M. Elshewey, Enas Selem, Amira Hassan Abed

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Electrical Tree and Partial Discharge Characteristics of Silicone Rubber Under Mechanical Pressure by Jingang Su, Peng Zhang, Zhen Liu, Xingwang Huang, Xianhai Pang, Zeping Zheng, Tao Han

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A new machine learning method for rainfall classification: temporal random tree by Kokten Ulas Birant, Bita Ghasemkhani, Özlem Varlıklar, Derya Birant

“…In fact, samples in temporal data, such as precipitation data, may not have equal importance; more recent samples contain more accurate and useful information than earlier ones. To address this issue, the article proposes a novel method, named temporal random tree (TRT), in which recent training samples have a greater impact on the model’s decision-making process. …”
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The influence of branch inclination angles on the dynamic response of the olive tree to trunk shaking by Pedro Sanchez-Cachinero, Fernando Aragon-Rodriguez, Sergio Tombesi, Rafael R. Sola-Guirado

“…The vibration parameters set in these machines and the biomechanical properties of the olive tree influence the detachment process. Tree geometry and morphology are fundamental factors influencing the propagation of vibration. …”
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Pareto Optimal Solutions of the Biobjective Minimum Length Minimum Risk Spanning Trees Problem by Lasko Laskov, Marin Marinov

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Gradient Boosting Trees and Large Language Models for Tabular Data Few-Shot Learning by Carlos Huertas

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Dynamic Clock Tree Balancing Algorithm: Achieving Enhanced Performance Efficiency in Asic Design by J Praveen Kumar, G. Sudhagar

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A Non-Deterministic Strategy for Searching Optimal Number of Trees Hyperparameter in Random Forest by Kennedy Senagi, Nicolas Jouandeau

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Experimental evaluation of selected tree structures for exact and approximate k-nearest neighbor classification by Aleksander Cisłak, Szymon Grabowski

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