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Akademický článek

A hybrid intelligent model based on logistic regression and fuzzy multiple-attribute decision-making for credit evaluation

Autor: IRVANIZAM IRVANIZAM, ZAKIAL VIKKI, SUTARMAN SUTARMAN, OPIM SALIM SITOMPUL

Publikováno v: Jurnal Natural, Vol 23, Iss 3, Pp 194-208 (2023)

. One of the crucial issues in data mining is to select an appropriate classification algorithm. Due to it usually involves many criteria, the duty of algorithm selection can be widely described as multiple-attribute decision-making (MADM) problems,

Externí odkaz: https://doaj.org/article/ba952eb155b348b8b973c9f740de1718

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Akademický článek

The development of Newton’s method by enhancing the starting point

Autor: Ismi Ratin Nabiyah, Opim Salim, Tulus Tulus

Publikováno v: International Journal of Trends in Mathematics Education Research, Vol 6, Iss 1, Pp 12-18 (2023)

In general, nonlinear problems cannot be solved analytically. A special theory or method is needed to simplify calculations. Many problems that are too complex, an exact solution is needed to support numerical solution. There are many numerical metho

Externí odkaz: https://doaj.org/article/e4e95db8a2fe4210bbe782b9c67a3f88

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Akademický článek

Morpheme Embedding for Bahasa Indonesia Using Modified Byte Pair Encoding

Autor: Amalia Amalia, Opim Salim Sitompul, Teddy Mantoro, Erna Budhiarti Nababan

Publikováno v: IEEE Access, Vol 9, Pp 155699-155710 (2021)

Word embedding is an efficient feature representation that carries semantic and syntactic information. Word embedding works as a word level that treats words as minor independent entity units and cannot handle words that are not in the training corpu

Externí odkaz: https://doaj.org/article/eb8bfc9bfc5644308d925a818fa0dfc3

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Akademický článek

Biased support vector machine and weighted-smote in handling class imbalance problem

Autor: Hartono Hartono, Opim Salim Sitompul, Tulus Tulus, Erna Budhiarti Nababan

Publikováno v: IJAIN (International Journal of Advances in Intelligent Informatics), Vol 4, Iss 1, Pp 21-27 (2018)

Class imbalance occurs when instances in a class are much higher than in other classes. This machine learning major problem can affect the predicted accuracy. Support Vector Machine (SVM) is robust and precise method in handling class imbalance probl

Externí odkaz: https://doaj.org/article/602da3773bd2419fb1df19632719f70d

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