The data analysis of sports training by ID3 decision tree algorithm and deep learning by Kaigong Wang, Lei Wang, Jiduo Sun

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Algorithmic Problems for Computation Trees by Mikhail Moshkov

“…In this paper, we study three algorithmic problems involving computation trees: the optimization, solvability, and satisfiability problems. …”
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Parallel construction of binary tree based on sorting by Ya. E. Romm, D. A. Chabanyuk

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Composing dynamic programming tree-decomposition-based algorithms by Julien Baste

“…We show that if there exist dynamic programming tree-decomposition-based algorithms for recognizing the graph classes $\mathcal{H}_i$, for each $i$, then we can constructively create a dynamic programming tree-decomposition-based algorithms for $\mathsf{GraphPart}(\mathcal{H}_1, \ldots, \mathcal{H}_\ell,p)$, $\mathsf{VertPart}(\mathcal{H}_1, \ldots, \mathcal{H}_\ell)$, and $\mathsf{EdgePart}(\mathcal{H}_1, \ldots, \mathcal{H}_\ell)$. …”
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Application of Decision Tree-Based Classification Algorithm on Content Marketing by Yi Liu, Shuo Yang

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Associative Parallel Algorithm for Dynamic Update of the Shortest Paths Tree by A. S. Nepomniaschaya

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RE-BPFT: An Improved PBFT Consensus Algorithm for Consortium Blockchain Based on Node Credibility and ID3-Based Classification by Junwen Ding, Xu Wu, Jie Tian, Yuanpeng Li

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Application of Decision Tree (M5Tree) Algorithm for Multicrop Yield Prediction of the Semi-Arid Region of Maharashtra, India by Kalpesh Borse, Prasit Agnihotri

“…In this regard, we used the Decision tree (M5tree) method to predict the yield of five important crops farmed in the Nashik region of Maharashtra state in India: rice, jowar, maize, groundnut, and sugarcane. …”
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Crime Prediction Using Decision Tree (J48) Classification Algorithm. by Ivan, Niyonzima, Emmanuel Ahishakiye, Elisha Opiyo Omulo, Danison Taremwa

Subjects: “…crime prediction; machine learning; decision tree; J48; artificial intelligence; Classification Algorithms.…”
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Modified tree-based selection in hierarchical mixed-effect models with trees: A simulation study and real-data application by Asrirawan, Khairil Anwar Notodiputro, Budi Susetyo, Sachnaz Desta Oktarina

“…Hierarchical mixed-effects models with three trees—3Trees models—are a new advanced statistical learning approach in mixed-effect modeling. …”
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Algorithms for big data mining of hub patent transactions based on decision trees by Zhukov Aleksandr, Pronichkin Sergey, Mihaylov Yuri, Kartsan Igor

“…The optimal number of decision tree predicates has been established taking into account computational efforts and the accuracy of forecasting the cost of hub patent transactions. …”
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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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Flood Area Prediction using a Stacked Ensemble of Tree-Based Algorithms by Olusogo Julius Adetunji

“…The model contained five different tree - based models namely hoeffding tree, decision tree, functional tree, reduced error pruning (REP) tree and decision stump algorithms. …”
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HEURISTIC ALGORITHMS USAGE WHILE CONSTRUCTION OF OPTIMAL DECISION TREE FOR BUDGET MANAGEMENT by A. A. Fiodarau, S. O. Novikov

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Determining Factors Affecting Cooperative Membership of the Beekeepers Using Decision Tree Algorithms by Tayfun Çukur, Figen Çukur

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Research on a Streamlined Causal Tree Algorithm Based on Factor Space Theory by Kaile Lin, Fanhui Zeng, Xiaotong Liu, Ying Wang, Kaijie Zhang

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Evaluating the Minimum Spanning Trees Using Prim's Algorithm with Undirected Neutrosophic Graphs by Sukanta Ghadei, Amaresh Chandra Panada, Surapati Pramanik, Nihar Ranjan Panda, Prasanta Kumar Raut

Subjects: “…minimum spanning tree (mst)…”
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Construction of Graduate Behavior Dynamic Model Based on Dynamic Decision Tree Algorithm by Fen Yang

“…Through the analysis of dynamic decision tree algorithm, a big data analysis system is formed. …”
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Crop Monitoring System Using IoT, Solar Energy and Decision Tree Algorithm by Ricardo Yauri, Luis Cuyubamba, Stefano Nuñez

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Heart Disease Prediction Using Ensemble Tree Algorithms: A Supervised Learning Perspective by Enoch Sakyi-Yeboah, Edmund Fosu Agyemang, Vincent Agbenyeavu, Akua Osei-Nkwantabisa, Priscilla Kissi-Appiah, Lateef Moshood, Lawrence Agbota, Ezekiel N. N. Nortey

“…Therefore, early prediction and detection are critical, leading to timely and appropriate interventions at early stages. Four ensemble tree-based algorithms were used in this study: adaptive boosting, extreme gradient boosting, random forest, and extremely randomized trees, investigating their ability to predict heart disease. …”
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