Results 11 to 20 of about 251,718 (265)

Decision Tree-Based Ensemble Model for Predicting National Greenhouse Gas Emissions in Saudi Arabia

open access: yesApplied Sciences, 2023
Greenhouse gas (GHG) emissions must be precisely estimated in order to predict climate change and achieve environmental sustainability in a country.
Muhammad Muhitur Rahman   +7 more
doaj   +1 more source

Fast Decision Tree Algorithm

open access: yesAdvances in Electrical and Computer Engineering, 2014
There is a growing interest nowadays to process large amounts of data using the well-known decision-tree learning algorithms. Building a decision tree as fast as possible against a large dataset without substantial decrease in accuracy and using as ...
PURDILA, V., PENTIUC, S.-G.
doaj   +1 more source

Cloud-Based Realtime Decision System for Severity Classification of COVID-19 Self-Isolation Patients using Machine Learning Algorithm

open access: yesIlkom Jurnal Ilmiah, 2023
The global impact of the COVID-19 pandemic has been profound, affecting economies and societal structures worldwide. Indonesia, with a high caseload, has encountered significant challenges across various sectors.
Bhima Satria Rizki Sugiono   +4 more
doaj   +1 more source

Efficient privacy-preserving decision tree classification protocol

open access: yesTongxin xuebao, 2021
To provide privacy-preserving decision tree classification services in the Internet of things (IoT) big data scenario, an efficient privacy-preserving decision tree classification protocol was proposed by adopting the secure multiparty computation ...
Lichuan MA   +3 more
doaj   +2 more sources

Privacy-preserving decision tree for epistasis detection

open access: yesCybersecurity, 2019
The interaction between gene loci, namely epistasis, is a widespread biological genetic phenomenon. In genome-wide association studies(GWAS), epistasis detection of complex diseases is a major challenge. Although many approaches using statistics, machine
Qingfeng Chen, Xu Zhang, Ruchang Zhang
doaj   +1 more source

Decision Support System Improving the Interpretability of Generated Tree-Based Models

open access: yesActa Electrotechnica et Informatica, 2022
A decision tree represents one of the most used data analysis methods for classification tasks. The generated decision models can be visualized as a graph, but this visualization is quite complicated for a domain expert to understand in large or ...
Klimonová Diana   +3 more
doaj   +1 more source

Konsep Decision Tree Reptree untuk Melakukan Optimasi Rule dalam Fuzzy Inference System Tsukamoto

open access: yesJurnal Teknologi Informasi dan Ilmu Komputer, 2022
Penelitian ini menjelaskan tentang decision tree REPTree dalam membuat suatu rule yang terbentuk dari produksi minyak kelapa sawit di PT Tapiana Nadenggan, yang dipengaruhi oleh faktor banyaknya kelapa sawit, permintaan yang ada, serta persediaan yang ...
Tundo Tundo, Shofwatul 'Uyun
doaj   +1 more source

Perbandingan Decision Tree J48, REPTREE, dan Random Tree dalam Menentukan Prediksi Produksi Minyak Kelapa Sawit Menggunakan Fuzzy Tsukamoto

open access: yesJurnal Teknologi Informasi dan Ilmu Komputer, 2021
Penelitian ini menerangkan analisis decision tree J48, REPTree dan Random Tree dengan menggunakan metode fuzzy Tsukamoto dalam penentuan jumlah produksi minyak kelapa sawit di perusahaan PT Tapiana Nadenggan dengan tujuan untuk mengetahui decision tree ...
Tundo Tundo, Shofwatul 'Uyun
doaj   +1 more source

Comprehensive decision tree models in bioinformatics.

open access: yesPLoS ONE, 2012
PurposeClassification is an important and widely used machine learning technique in bioinformatics. Researchers and other end-users of machine learning software often prefer to work with comprehensible models where knowledge extraction and explanation of
Gregor Stiglic   +3 more
doaj   +1 more source

Pembentukan Model Pohon Keputusan pada Database Car Evaluation Menggunakan Statistik Chi-Square

open access: yesContemporary Mathematics and Applications (ConMathA), 2022
The study discusses problems related to the formation of a decision tree based on a collection of evaluation data records obtained from a number of car buyers. This secondary data was obtained from the UCL machine learning website.
Retno Maharesi
doaj   +1 more source

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