Frontiers in Physics, 2023 This study highlights the drawbacks of current quantum classifiers that limit their efficiency and data processing capabilities in big data environments.
Naihua Ji +5 more
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Construction of Graduate Behavior Dynamic Model Based on Dynamic Decision Tree Algorithm
Discrete Dynamics in Nature and Society, 2022 With the research of machine learning technology and big data intelligent processing technology in engineering application becoming more and more mature, people gradually combine machine learning technology and big data intelligent processing technology.
Fen Yang
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Sequential Outlier Detection Based on Incremental Decision Trees [PDF]
IEEE Transactions on Signal Processing, 2018 We introduce an online outlier detection algorithm to detect outliers in a sequentially observed data stream. For this purpose, we use a two-stage filtering and hedging approach.
Kaan Gökcesu +3 more
semanticscholar +5 more sources
PRESa2i: incremental decision trees for prediction of Adenosine to Inosine RNA editing sites [PDF]
F1000Research, 2020 RNA editing is a very crucial cellular process affecting protein encoding and is sometimes correlated with the cause of fatal diseases, such as cancer. Thus knowledge about RNA editing sites in a RNA sequence is very important. Adenosine to Inosine (A-to-
Alif Choyon +4 more
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A New Incremental Decision Tree Learning for Cyber Security based on ILDA and Mahalanobis Distance
Engineering Journal, 2019 . A cyber-attack detection is currently essential for computer network protection. The fundamentals of protection are to detect cyber-attack effectively with the ability to combat it in various ways and with constant data learning such as internet ...
Saichon Jaiyen, Ployphan Sornsuwit
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Incremental Optimization Mechanism for Constructing a Decision Tree in Data Stream Mining [PDF]
, 2013 Imperfect data stream leads to tree size explosion and detrimental accuracy problems. Overfitting problem and the imbalanced class distribution reduce the performance of the original decision-tree algorithm for stream mining. In this paper, we propose an
Hang Yang, Simon Fong
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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 MicrobiologyBackgroundEarly 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 +6 more
doaj +2 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 +3 more
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Incremental Learning of Fuzzy Decision Trees for Streaming Data Classification [PDF]
EUSFLAT Conf., 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 ...
Riccardo Pecori +2 more
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Cost-effectiveness Analysis of Dupilumab for the Treatment of Adult Patients with Severe Prurigo Nodularis in Italy [PDF]
Acta Dermato-VenereologicaPrurigo nodularis is characterized by intensely pruritic nodules that significantly impact patients’ quality of life. This study aims to evaluate the cost-effectiveness of dupilumab compared with the best supportive care for the treatment of severe ...
Cataldo Patruno +6 more
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