Results 31 to 40 of about 23,893 (215)
Evaluation of liquefaction potential based on CPT results using C4.5 decision tree [PDF]
Journal of Artificial Intelligence and Data Mining, 2015 The prediction of liquefaction potential of soil due to an earthquake is an essential task in Civil Engineering. The decision tree is a tree structure consisting of internal and terminal nodes which process the data to ultimately yield a classification ...
A. Ardakani, V. R. Kohestani
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Porting Decision Tree Algorithms to Multicore using FastFlow [PDF]
, 2010 The whole computer hardware industry embraced multicores. For these machines, the extreme optimisation of sequential algorithms is no longer sufficient to squeeze the real machine power, which can be only exploited via thread-level parallelism.
A.C. Sodan +17 more
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Decision Tree Optimization in C4.5 Algorithm Using Genetic Algorithm
Journal of Physics: Conference Series, 2019 Abstract The importance of efficiency in the space of search rules C4.5 decision tree algorithm has been the focus of a lot of researchers. Therefore, the development needs to be conducted to form a new, more efficient method but it can not be separated from the accuracy of the analysis as the results of the algorithm itself.
Irfan Sudahri Damanik +5 more
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STUDENT PERFORMANCE ANALYSIS USING C4.5 ALGORITHM TO OPTIMIZE SELECTION
Pilar Nusa Mandiri, 2020 Education is one of the fields that generate heaps of data. Pile of data that can utilized by higher education institutions to improve tertiary performance.
Hilda amalia +3 more
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The research on data mining technology in the analysis of students scores [PDF]
SHS Web of Conferences, 2022 On the basis of being familiar with the traditional decision tree algorithm, some improvements are made to the C4.5 algorithm to reduce the mining time.
Wan Jiahua, Liu Lei
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AN IMPROVED C4.5 MODEL CLASSIFICATION ALGORITHM BASED ON TAYLOR’S SERIES [PDF]
Jordanian Journal of Computers and Information Technology, 2019 C4.5 is one of the most popular algorithms for rule base classification. Many empirical features in the algorithm exist, such as continuous number categorization, missing value handling and over-fitting.
Sinam I. Idriss, Abdulwahab Lawan
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AUC4.5: AUC-Based C4.5 Decision Tree Algorithm for Imbalanced Data Classification
IEEE Access, 2019 This paper presents a modification of Quinlan’s C4.5 algorithm for imbalanced data classification. While the C4.5 algorithm uses the difference in information entropy to determine the goodness of a split, the proposed method, which is named AUC4.5,
Jong-Seok Lee
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Inducing safer oblique trees without costs [PDF]
, 2005 Decision tree induction has been widely studied and applied. In safety applications, such as determining whether a chemical process is safe or whether a person has a medical condition, the cost of misclassification in one of the classes is significantly ...
Althoff K. +27 more
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Penerapan Algoritma C4.5 pada Pengaruh Iklan Tanpa Label Harga di Instagram
Sistemasi: Jurnal Sistem Informasi, 2021 Abstrak Saat ini banyak strategi promosi yang beralih ke media online, salah satunya instagram. Hal ini dimanfaatkan oleh para perodusen untuk menjadikan instagram sebagai media promosi yang potensial.
Ratnawati Ratnawati, Fransisca Natalia
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Predicting Students Graduate on Time Using C4.5 Algorithm
Journal of Information Systems Engineering and Business Intelligence, 2021 Background: Facilitating an effective learning process is the goal of higher education institutions. Despite improvement in curriculum and resources, many students cannot graduate on time. Mostly, the number of students who graduate on time is lower than the number of new students enrolling to universities.
Herman Yuliansyah +3 more
openaire +4 more sources