Results 51 to 60 of about 1,084,163 (283)
An application of decision trees method for fault diagnosis of induction motors [PDF]
, 2006 Decision tree is one of the most effective and widely used methods for building classification model. Researchers from various disciplines such as statistics, machine learning, pattern recognition, and data mining have considered the decision tree ...
Oh, Myung-Suck +2 more
core
Hardness and inapproximability results for minimum verification set and minimum path decision tree problems [PDF]
, 2012 Minimization of decision trees is a well studied problem. In this work, we introduce two new problems related to minimization of decision trees. The problems are called minimum verification set (MinVS) and minimum path decision tree (MinPathDT) problems.
Turker, Uraz Cengiz +3 more
core +1 more source
Statistical analysis of various splitting criteria for decision trees
Journal of Algorithms & Computational Technology, 2023 Decision trees are frequently used to overcome classification problems in the fields of data mining and machine learning, owing to their many perks, including their clear and simple architecture, excellent quality, and resilience.
Fadwa Aaboub +2 more
doaj +1 more source
Population Ecology, EarlyView.We investigate the seasonal dynamics of two freshwater snails, Biomphalaria straminea and Melanoides tuberculata, in artificial reservoirs of the Brazilian semiarid region. Despite regulated hydrology, B. straminea exhibited strong seasonal fluctuations associated with dry periods, while M. tuberculata maintained stable populations throughout the year,
Lucas Henrique Sousa da Silva +6 more
wiley +1 more source
Greedy Algorithm for Deriving Decision Rules from Decision Tree Ensembles
EntropyThis study introduces a greedy algorithm for deriving decision rules from decision tree ensembles, targeting enhanced interpretability and generalization in distributed data environments.
Evans Teiko Tetteh, Beata Zielosko
doaj +1 more source
FEBS Letters, EarlyView.Exposure to common noxious agents (1), including allergens, pollutants, and micro‐nanoplastics, can cause epithelial barrier damage (2) in our body's protective linings. This may trigger an immune response to our microbiome (3). The epithelial barrier theory explains how this process can lead to chronic noncommunicable diseases (4) affecting organs ...
Can Zeyneloglu +17 more
wiley +1 more source
Extension of Decision Tree Algorithm for Stream Data Mining Using Real Data [PDF]
, 2009 Recently, because of increasing amount of data in the society, data stream mining targeting large scale data has attracted attention. The data mining is a technology of discovery new knowledge and patterns from the massive amounts of data, and what the ...
Ise, Masayuki +3 more
core
Decision Stream: Cultivating Deep Decision Trees
, 2017 Various modifications of decision trees have been extensively used during the past years due to their high efficiency and interpretability. Tree node splitting based on relevant feature selection is a key step of decision tree learning, at the same time ...
Ignatov, Andrey, Ignatov, Dmitry
core +1 more source
Rockburst prediction in kimberlite using decision tree with incomplete data
Journal of Sustainable Mining, 2018 A rockburst is a common engineering geological hazard. In order to predict rockburst potential in kimberlite at an underground diamond mine, a decision tree method was employed.
Yuanyuan Pu, Derek B. Apel, Bob Lingga
doaj +1 more source
Hyperparameter Optimization Using Iterative Decision Tree (IDT)
IEEE Access, 2022 Machine learning and deep learning have gained a lot of attention from researchers because of their promising predictive performance and the availability of extensive high-dimensional data and high-performance computational hardware.
Narith Saum +2 more
doaj +1 more source