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Application of the Decision Tree in the Business Process
Decision tree, as a decision-making method in conditions of risk and uncertainty, represents a practical graphical-visualization tool for... -
Decision Tree
This chapter first introduces the basic concept of the decision tree, then introduces feature selection, tree-generation and tree-pruning through ID3... -
Improving Precision in Process Trees Using Subprocess Tree Logs
Process mining is a family of techniques that provide tools for gaining insights from processes in, for example, business, industrial, healthcare and... -
Quantifying robustness: 3D tree point cloud skeletonization with smart-tree in noisy domains
Extracting tree skeletons from 3D tree point clouds is challenged by noise and incomplete data. While our prior work (Dobbs et al., in: Iberian...
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An improved frequent pattern tree: the child structured frequent pattern tree CSFP-tree
Frequent itemsets are itemsets that occur frequently in a dataset. Frequent itemset mining extracts specific itemsets with supports higher than or...
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SETAR-Tree: a novel and accurate tree algorithm for global time series forecasting
Threshold Autoregressive (TAR) models have been widely used by statisticians for non-linear time series forecasting during the past few decades, due...
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Tree-managed network ensembles for video prediction
This paper presents an innovative approach that leverages a tree structure to effectively manage a large ensemble of neural networks for tackling...
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Decision Tree
The decision tree is an important algorithm in machine learning. They mimic human thinking while making decisions and thus usually are easy to... -
Building the Topological Tree of Shapes from the Tree of Shapes
The topological tree of shapes was recently introduced as a new hierarchical structure within the family of morphological trees. Morphological trees... -
Decision Tree
Decision tree is one of the simplest, yet popular, machine learning algorithms. It has a very long history of research and application, and has many... -
Slim Tree-Cut Width
Tree-cut width is a parameter that has been introduced as an attempt to obtain an analogue of treewidth for edge cuts. Unfortunately, in spite of its...
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SATD: syntax-aware handwritten mathematical expression recognition based on tree-structured transformer decoder
The complex two-dimensional structure poses huge challenges for handwritten mathematical expression recognition (HMER). Many researchers process the...
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NBD-Tree: Neural Bounded Deformation Tree for Collision Culling of Deformable Objects
We propose a novel machine learning-based approach for accelerating the broad phase of 3D collision detection for deformable objects. Our method,... -
A Process to Support Heuristic Evaluation and Tree Testing from a UX Integrated Perspective
This paper presents a proposal for an integral user experience evaluation process, as well as the methodology followed to carry it out, and the... -
Decoding Tree Decompositions from Permutations
Most algorithmic strategies for solving problems considering treewidth parameterization require that a tree decomposition is given. Given a graph... -
MCMSTClustering: defining non-spherical clusters by using minimum spanning tree over KD-tree-based micro-clusters
Clustering is a technique for statistical data analysis and is widely used in many areas where class labels are not available. Major problems related...
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Tree-Walking-Storage Automata
We introduce and investigate tree-walking-storage automata, which are finite-state devices equipped with a tree-like storage. The automata are... -
Simulation of apple tree branch growth using an improved point-cloud-boundary-constraint model
The apple is a valuable commercial crop. Morphological information on and visual simulation of the apple plant are critical for precise and...
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Tree Data Structures
A tree is one of the more typical graph structures you will implement using a SQL Server database. As covered in Chapter 1, a tree is a directed... -
An effective spatial join method for blockchain-based geospatial data using hierarchical quadrant spatial LSM+ tree
The prevention of forgery and alternation of important data of blockchain technology is contributing widely to the expanding usage of this technology...