Results 11 to 20 of about 199,658 (311)
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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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 +4 more
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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 +3 more
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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
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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 +3 more
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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
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Cost-effectiveness assessment of liquid biopsy for early detection of lung cancer in Brazil. [PDF]
PLoS ONEIntroductionLung cancer has a low survival rate due to late diagnosis, with most cases detected at advanced stages. Liquid biopsy, a non-invasive alternative to tissue biopsy, has emerged as a potential screening tool for early lung cancer detection ...
Kátia Marie Senna +5 more
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An Incremental Fuzzy Decision Tree Classification Method for Mining Data Streams
, 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 +3 more
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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 NeurologyBackgroundTenecteplase 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 +5 more
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