Results 21 to 30 of about 251,718 (265)

Students' performance prediction employing Decision Tree

CTU Journal of Innovation and Sustainable Development
An optimized educational community is a must in this modern era. The intersection of educational activities and the transformative potentials of Educational Data Mining (EDM) should be traversed, highlighting the reasoning behind the importance of EDM ...
Abtahi Ahmed, Farzana Akter Nipa, Wasi Uddin Bhuyian, Khaled Md Mushfique, Kamrul Islam Shahin, Huu-Hoa Nguyen, Dewan Md. Farid   +6 more
doaj   +3 more sources

Predicting Disease-Specific Survival for Patients With Primary Cholangiocarcinoma Undergoing Curative Resection by Using a Decision Tree Model

Frontiers in Oncology, 2022
BackgroundThe aim of this study was to derive and validate a decision tree model to predict disease-specific survival after curative resection for primary cholangiocarcinoma (CCA).MethodTwenty-one clinical characteristics were collected from 482 patients
Bing Quan, Bing Quan, Miao Li, Miao Li, Shenxin Lu, Shenxin Lu, Jinghuan Li, Jinghuan Li, Wenfeng Liu, Wenfeng Liu, Feng Zhang, Feng Zhang, Rongxin Chen, Rongxin Chen, Zhenggang Ren, Zhenggang Ren, Xin Yin, Xin Yin   +17 more
doaj   +1 more source

Assessing Decision Tree Stability: A Comprehensive Method for Generating a Stable Decision Tree

IEEE Access
Objectives: This paper proposes a novel stability metric for decision trees that does not rely on the elusive notion of tree similarity. Existing stability metrics have been constructed in a pairwise fashion to assess the tree similarity between two ...
Jeongeon Lee, Min Kyu Sim, Jung-Sik Hong
doaj   +1 more source

Decision Tree Induction using Adaptive FSA

CLEI Electronic Journal, 2018
This paper introduces a new algorithm for the induction of decision trees, based on adaptive techniques. One of the main feature of this algorithm is the application of automata theory to formalize the problem of decision tree induction and the use of a ...
Hemerson Pistori, Joao Jose Neto
doaj   +1 more source

Decision tree-based Design Defects Detection

IEEE Access, 2021
Design defects affect project quality and hinder development and maintenance. Consequently, experts need to minimize these defects in software systems. A promising approach is to apply the concepts of refactoring at higher level of abstraction based on ...
Mohamed Maddeh, Sarra Ayouni, Sultan Alyahya, Fahima Hajjej   +3 more
doaj   +1 more source

Very Fast C4.5 Decision Tree Algorithm

Applied Artificial Intelligence, 2018
This paper presents a novel algorithm so-called VFC4.5 for building decision trees. It proposes an adaptation of the way C4.5 finds the threshold of a continuous attribute. Instead of finding the threshold that maximizes gain ratio, the paper proposes to
Anis Cherfi, Kaouther Nouira, Ahmed Ferchichi   +2 more
doaj   +1 more source

Minimum Query Set for Decision Tree Construction

Entropy, 2021
A new two-stage method for the construction of a decision tree is developed. The first stage is based on the definition of a minimum query set, which is the smallest set of attribute-value pairs for which any two objects can be distinguished.
Wojciech Wieczorek, Jan Kozak, Łukasz Strąk, Arkadiusz Nowakowski   +3 more
doaj   +1 more source

Mapping the evolution of mitochondrial complex I through structural variation

FEBS Letters, EarlyView.
Respiratory complex I (CI) is crucial for bioenergetic metabolism in many prokaryotes and eukaryotes. It is composed of a conserved set of core subunits and additional accessory subunits that vary depending on the organism. Here, we categorize CI subunits from available structures to map the evolution of CI across eukaryotes. Respiratory complex I (CI)
Dong‐Woo Shin, Tingting Chen, James A. Letts   +2 more
wiley   +1 more source

Greedy Algorithm for Deriving Decision Rules from Decision Tree Ensembles

Entropy
This 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

A Decision Tree for Rockburst Conditions Prediction

Applied Sciences, 2023
This paper presents an alternative approach to predict rockburst using Machine Learning (ML) algorithms. The study used the Decision Tree (DT) algorithm and implemented two approaches: (1) using DT model for each rock type (DT-RT), and (2) developing a ...
Dominic Owusu-Ansah, Joaquim Tinoco, Faramarzi Lohrasb, Francisco Martins, José Matos   +4 more
doaj   +1 more source