Results 61 to 70 of about 1,307,990 (175)
Battery Performance Evaluation through Decision Tree
This study addresses the pervasive concern surrounding battery performance degradation in electronic devices. While some attribute this decline to device aging, a significant portion of the population lacks awareness of the precise factors contributing ...
Jevelin Jevelin +2 more
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Three Problems for Decision Rule Systems from Closed Classes
The study of the relationships between DRSs (Decision Rule Systems) and DTs (Decision Trees) is of considerable interest in computer science. In this paper, we consider classes of DRSs that are closed under specific operations.
Kerven Durdymyradov, Mikhail Moshkov
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An application of decision trees method for fault diagnosis of induction motors [PDF]
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
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Prediction of Frost Occurrences Using Statistical Modeling Approaches
We developed the frost prediction models in spring in Korea using logistic regression and decision tree techniques. Hit Rate (HR), Probability of Detection (POD), and False Alarm Rate (FAR) from both models were calculated and compared.
Hyojin Lee +3 more
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HYBRID METHOD IMPLEMENTATION: FUZZY DECISION TREE IN THE CLASSIFICATION OF GENDER INEQUALITY
The classification of continuous data using the C4.5 decision tree algorithm requires prior discretization based on the calculation of cut points, a process that can be time-consuming and potentially introduce bias.
Siti Fatimah Marliany Irawan +2 more
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Consistency preserving database watermarking algorithm for decision trees
Database watermarking technologies provide an effective solution to data security problems by embedding the watermark in the database to prove copyright or trace the source of data leakage.
Qianwen Li +4 more
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Evidential Decision Tree Based on Belief Entropy
Decision Tree is widely applied in many areas, such as classification and recognition. Traditional information entropy and Pearson’s correlation coefficient are often applied as measures of splitting rules to find the best splitting attribute ...
Mujin Li, Honghui Xu, Yong Deng
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The current power grid business handles massive data operations where data retrieval frequently encounters redundancy issues. Conventional decision tree-based methods struggle to achieve accurate data acquisition when facing redundant interference.
Wei Sun +5 more
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CUDT: A CUDA Based Decision Tree Algorithm
Decision tree is one of the famous classification methods in data mining. Many researches have been proposed, which were focusing on improving the performance of decision tree.
Win-Tsung Lo +4 more
doaj +1 more source
In this paper, an efficient algorithm for modeling the operation of a DDT (Deterministic Decision Tree) solving the problem of realizability of DRs (Decision Rules) is proposed and analyzed.
Kerven Durdymyradov, Mikhail Moshkov
doaj +1 more source

