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Recent advances in decision trees: An updated survey
Abstract Decision Trees (DTs) are predictive models in supervised learning, known not only
for their unquestionable utility in a wide range of applications but also for their interpretability …
for their unquestionable utility in a wide range of applications but also for their interpretability …
Artificial intelligence in cancer target identification and drug discovery
Artificial intelligence is an advanced method to identify novel anticancer targets and discover
novel drugs from biology networks because the networks can effectively preserve and …
novel drugs from biology networks because the networks can effectively preserve and …
Generalized divergence-based decision making method with an application to pattern classification
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Landslides are a common type of natural disaster that brings great threats to the human lives
and economic development around the world, especially in the Chinese Loess Plateau …
and economic development around the world, especially in the Chinese Loess Plateau …
A comparative assessment of decision trees algorithms for flash flood susceptibility modeling at Haraz watershed, northern Iran
Floods are one of the most damaging natural hazards causing huge loss of property,
infrastructure and lives. Prediction of occurrence of flash flood locations is very difficult due …
infrastructure and lives. Prediction of occurrence of flash flood locations is very difficult due …
Multi-objective hub-spoke network design of perishable tourism products using combination machine learning and meta-heuristic algorithms
In this research, the objective is to design a multi-objective Hub-Spoke network of perishable
tourism products. In order to consider the perishable factor of the products, some collection …
tourism products. In order to consider the perishable factor of the products, some collection …
Perspective: Materials informatics and big data: Realization of the “fourth paradigm” of science in materials science
Our ability to collect “big data” has greatly surpassed our capability to analyze it,
underscoring the emergence of the fourth paradigm of science, which is datadriven …
underscoring the emergence of the fourth paradigm of science, which is datadriven …
Modeling flood susceptibility using data-driven approaches of naïve bayes tree, alternating decision tree, and random forest methods
Floods are one of the most devastating types of disasters that cause loss of lives and
property worldwide each year. This study aimed to evaluate and compare the prediction …
property worldwide each year. This study aimed to evaluate and compare the prediction …