Results 21 to 30 of about 208,530 (213)

Active Learning Embedded in Incremental Decision Trees

Brazilian Conference on Intelligent Systems, 2020
As technology evolves and electronic devices become widespread, the amount of data produced in the form of stream increases in enormous proportions. Data streams are an online source of data, meaning that it keeps producing data continuously. This creates the need for fast and reliable methods to analyse and extract information from these sources ...
Vinicius Eiji Martins, Victor G. Turrisi da Costa, Sylvio Barbon Junior   +2 more
openaire   +3 more sources

An Incremental Fuzzy Decision Tree Classification Method for Mining Data Streams

IAPR International Conference on Machine Learning and Data Mining in Pattern Recognition, 2007
One of most important algorithms for mining data streams is VFDT. It uses Hoeffding inequality to achieve a probabilistic bound on the accuracy of the tree constructed. Gama et al. have extended VFDT in two directions. Their system VFDTc can deal with continuous data and use more powerful classification techniques at tree leaves.
Tao Wang, Zhoujun Li, Yuejin Yan, Huowang Chen   +3 more
semanticscholar   +3 more sources

Incremental Learning of Fuzzy Decision Trees for Streaming Data Classification [PDF]

Proceedings of the 2019 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology (EUSFLAT 2019), 2019
Data stream analysis is growing in popularity in the last years since several application domains require to continuously and quickly analyse data produced by sensors with the aim of, for instance, reacting immediately when problems arise, or detecting new trends.
Riccardo Pecori, Pietro Ducange, Francesco Marcelloni   +2 more
openalex   +3 more sources

The cost-effectiveness of penicillin allergy assessment pathway (PAAP): a decision analysis [PDF]

BMJ Open
Objective To evaluate the cost-effectiveness of implementing a penicillin allergy assessment pathway (PAAP) versus usual care within the NHS.Design A decision tree analysis over a 5-year time-period, informed by a randomised controlled trial (RCT) of ...
Neil Powell, Sinisa Savic, Miaoqing Yang, S Ahmed, Robert M West, Daniel Howdon, Sue Pavitt, Ushma Galal, Philip Howard, Joanne Fielding, Kelsey Fiona Armitage, Catherine E Porter, Jonathan AT Sandoe, Rebecca Bestwick, Ruben Ernesto Mujica-Mota   +14 more
doaj   +2 more sources

Scalable decision tree based on fuzzy partitioning and an incremental approach

International Journal of Electrical and Computer Engineering (IJECE), 2022
<span>Classification as a data mining materiel is the process of assigning entities to an already defined class by examining the features. The most significant feature of a decision tree as a classification method is its ability to data recursive partitioning.
Somayeh Lotfi, Mohammad Ghasemzadeh, Mehran Mohsenzadeh, Mitra Mirzarezaee   +3 more
openalex   +3 more sources

Scalable Fuzzy Decision Tree Induction Using Fast Data Partitioning and Incremental Approach for Large Dataset [PDF]

Journal of Advances in Computer Engineering and Technology, 2021
The decision tree is one of the popular methods for learning and reasoning through recursive partitioning of data space. To choose the best attribute in the case on numerical features, partitioning criteria should be calculated for individual values or ...
Somayeh Lotfi, Mohammad Ghasemzadeh, Mehran Mohsenzadeh, Mitra Mirzarezaee   +3 more
doaj   +1 more source

Nonlinear regression via incremental decision trees [PDF]

Pattern Recognition, 2018
Abstract We study sequential nonlinear regression and introduce an online algorithm that elegantly mitigates, via an adaptively incremental hierarchical structure, convergence and undertraining issues of conventional nonlinear regression methods.
N. Denizcan Vanli, Muhammed O. Sayin, Mohammadreza Mohaghegh Neyshabouri, Hüseyin Özkan, Süleyman S. Kozat   +4 more
openalex   +4 more sources

Incremental Fuzzy Decision Tree Based on Cumulative Mutual Information [PDF]

Journal of Computational Design and Engineering
Abstract Traditional and fuzzy decision trees (FDTs) face inherent challenges in managing uncertainty, noise, and evolving data streams. While FDTs improve upon classical decision trees by incorporating fuzzy logic to handle ambiguity, they remain static and cannot adapt to changes in data distribution over time.
Jan Rabčan, Elena Zaitseva, Vitaly Levashenko, Miroslav Kvaššay   +3 more
openalex   +2 more sources

A Review: The Effects of Imperfect Data on Incremental Decision Tree

2014 Ninth International Conference on P2P, Parallel, Grid, Cloud and Internet Computing, 2014
Decision tree, as one of the most widely used methods in data mining, has been used in many realistic application. Incremental decision tree handles streaming data scenario that is applicable for big data analysis. However, imperfect data are unavoidable in real-world applications.
Hang Yang, Aidong Xu, Huajun Chen, Cai Yuan   +3 more
openaire   +2 more sources

Cost-effectiveness analysis of metagenomic next-generation sequencing versus traditional bacterial cultures for postoperative central nervous system infections in critical care settings: a prospective pilot study [PDF]

Frontiers in Cellular and Infection Microbiology
BackgroundEarly and accurate pathogen identification is crucial for managing central nervous system infections (CNSIs). While Metagenomic Next-Generation Sequencing (mNGS) offers rapid and sensitive pathogen detection, its cost-effectiveness in ...
Ying Tian, Ningyuan Xu, Ningyuan Xu, Yuqing Chen, Zimeng Xu, Jian-Xin Zhou, Linlin Zhang   +6 more
doaj   +2 more sources