Results 21 to 30 of about 7,645,878 (307)
In this research, we consider decision trees that incorporate standard queries with one feature per query as well as hypotheses consisting of all features’ values.
Mohammad Azad, Mikhail Moshkov
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Classification of healthcare data using hybridised fuzzy and convolutional neural network
Healthcare performs a key role in the health of humans in the world. While gathering a huge amount of medical data, the problems will appear on the classification of healthcare data.
Balamurugan Ramasamy, Abdul Zubar Hameed
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Decision making by considering is very important in an institution. Generally, in choosing a solution of the problem is only take from a meeting, discussion or vote among the leader of each division. But it usually needs more time if the problems are the
Dihin Muriyatmoko +2 more
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An Efficient Cellular Automata-Based Classifier with Variance Decision Table
Classification is an important task of machine learning for solving a wide range of problems in conforming patterns. In the literature, machine learning algorithms dealing with non-conforming patterns are rarely proposed.
Pattapon Wanna, Sartra Wongthanavasu
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Approximate Relational Games For Green Influencer Marketing Optimization
The collaboration between celebrities, macro-influencers, and micro-influencers plays a pivotal role in amplifying the effectiveness and longevity of environmental sustainability messages.
Nghia D. Vu +5 more
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Salah satu syarat yang diperlukan dalam kenaikan pangkat dan jabatan perekayasa adalah surat penetapan angka kredit. Untuk memperolehnya, perekayasa menyerahkan Daftar Usulan Penetapan Angka Kredit (DUPAK) kepada sekretariat Tim Penilai untuk dilakukan ...
Huda M Elmatsani
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Dependency structures for decision tables
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Giampiero Chiaselotti +2 more
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The paper presents an approach that applies the knowledge engineering techniques for representing and analysing business rules. These rules are represented by production rules using concepts of a state‐based piece‐linear aggregate (PLA) model.
Henrikas Pranevičius, Germanas Budnikas
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About a Fuzzy Distance between Two Fuzzy Partitions and Application in Attribute Reduction Problem
According to traditional rough set theory approach, attribute reduction methods are performed on the decision tables with the discretized value domain, which are decision tables obtained by discretized data methods.
Nghia Cao Chinh +3 more
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Prediction of chronic kidney disease using different classification algorithms
Chronical kidney disease (CKD) is a common kidney function problem that causes deterioration of kidney performance and leads to kidney failure. An early diagnostic methodology to determine kidney functionality is essential and extremely important in many
Khaled Mohamad Almustafa
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