Results 11 to 20 of about 300,914 (309)

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
openalex   +2 more sources

Costs and cost-effectiveness of integrated screening for non-communicable diseases in TB contacts [PDF]

IJTLD Open
BACKGROUND: Integrating non-communicable disease (NCD) screening into TB household contact investigations may identify undiagnosed NCDs and reduce the burden of both conditions.
Y. Hamada, R. Mukora, R. Pelusa, T. Ntshiqa, J. Shedrawy, K. Velen, I. Abubakar, S. Charalambous, S. Walker, M.X. Rangaka   +9 more
doaj   +2 more sources

A review: The effects of imperfect data on incremental decision tree

International Journal of Information and Communication Technology, 2018
Decision tree, as one of the most widely used methods in data mining, has been used in many realistic applications. 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, Peng Li, Xiaobin Guo, Huajun Chen, Zhiqiang Lin   +4 more
openalex   +3 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

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.
Cai Yuan, Hang Yang, Huajun Chen, Aidong Xu   +3 more
openaire   +3 more sources

An Incremental Method for Finding Multivariate Splits for Decision Trees [PDF]

, 1990
Decision trees that are limited to testing a single variable at a node are potentially much larger than trees that allow testing multiple variables at a node. This limitation reduces the ability to express concepts succinctly, which renders many classes of concepts difficult or impossible to express.
Paul E. Utgoff, Carla E. Brodley
openalex   +2 more sources

Tenecteplase for ischemic stroke at 4.5 to 24 hours without thrombectomy: a cost-utility analysis from the perspective of Chinese healthcare system [PDF]

Frontiers in Neurology
BackgroundTenecteplase improves functional outcomes in acute ischemic stroke (AIS) patients treated 4.5 to 24 h after symptom onset who do not undergo thrombectomy. However, its cost-utility remains unexamined.MethodsA hybrid model combining a short-term
Maolin Chen, Ying Yu, Baozhong Yu, Yudan Cao, Yake Lou, Yudong Ma   +5 more
doaj   +2 more sources

Cost-Effectiveness Analysis of a Latent Tuberculosis Screening Program Among Healthcare Personnel [PDF]

Inquiry: The Journal of Health Care Organization, Provision, and Financing
Screening high-risk groups for Latent Tuberculosis Infection (LTBI) is crucial for TB elimination, as the large global reservoir of Mycobacterium tuberculosis bacilli poses a significant challenge to TB control globally.
Niludi Ranwanee Yasaratna MD, Manuj Chrishantha Weerasinghe MD   +1 more
doaj   +2 more sources

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   +5 more sources

A configurable board-level adaptive incremental diagnosis technique based on decision trees [PDF]

2015 IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems (DFTS), 2015
Functional diagnosis for complex electronic boards is a time-consuming task that requires big expertise to the diagnosis engineers. In this paper we propose a new engine for board-level adaptive incremental functional diagnosis based on decision trees. The engine incrementally selects the tests that have to be executed and based on the test outcomes it
Cristiana Bolchini, Luca Cassano
openalex   +2 more sources