Data mining procedures are utilized to extract meaningful information for effective knowledge discovery. Decision tree, a classification method, is an efficient method for prediction. Seeing its...doi:10.1007/978-981-15-6318-8_21Deepak Saraswat...
Decision Tree Algorithms” is my original work and has not presented elsewhere for any academic qualification. Where references have been used from books, published papers, reports and websites, it is fully acknowledged in accordance with the standard ...
TreeAlgorithms By HaroldBukoDADYE College:InformationScienceandEngineering Major:ComputerScienceandTechnology0 ResearchField:DataMining0 Supervisor:Dr.YangSheng0 June2013 2 UniversityID:10532 StudentID:LY2010044 SecurityLevel:Normal HUNANUNIVERSITY MASTER’STHESIS ...
Schematic diagram of decision tree. 4.3.3. Support Vector Machine Support vector machine (SVM) is an algorithm that can classify samples by maximally spaced hyperplanes. Its goal is to find a support vector that is the most distant from the samples. The maximal interval hyperplane is found by...
Bian F, Wang X (2021) School enterprise cooperation mechanism based on improved decision tree algorithm. J Intell Fuzzy Syst 40(4):5995–6005 Google Scholar Shibu D, Ayekpam IC (2018) A study on efficiency on Assam gramin vikash bank branches. Indian J Appl Res 7(5):115–118 Google...
Second, we also examine the effectiveness of classifying two patterns using the Decision Tree algorithm. The final number of states (y1) can be regarded as results with dozens of dimensions for the number of states (y1), which may range from 1 to 32. We adopt to reduce the dimensions of...
Decision tree (DT) and ensemble tree (ET) According to Khan et al.79, the machine learning (ML) algorithm is an essential component of the intelligent algorithm. Ensemble modeling is a process in which numerous models are developed to predict an outcome, either by employing various modeling te...
Landslide susceptibility prediction modeling based on remote sensing and a novel deep learning algorithm of a cascade-parallel recurrent neural network. Sensors 20, 1576 [88] Zhu, G., Li, Y., 2015. Types and changes of chinese climate zones from 1961 to 2013 based on koppen climate...
had compared balancing approaches of under-sampling, oversampling, SMOTE, and ADASYN with SVM, ANN, C5.0 tree, and CHAID tree to predict in-hospital mortality from hospital-acquired infections in trauma patients. They reported that among these ML algorithms, the SVM algorithm by SMOTE balancing ...
The key idea behind active learning is that a machine learning algorithm can achieve greater accuracy with fewer training labels if it is allowed to choose the data from which it learns. An active learner may pose queries, usually in the form of unlabeled data instances to be labeled by an ...