Bidikmisi is tuition assistance from the government for high school graduates (SMA) or equivalent who have good academic potential but economic limitations. Different scholarships that focus on providing awards financial support to those excel. The achievement requirements are aimed at ensuring recipients selected truly and willingness complete higher education. Given of this bidikmisi must rea...

Klasifikasi adalah suatu proses yang dilakukan untuk menemukan sebuah model dengan tujuan memperkirakan kelas dari objek kelasnya tidak diketahui. Salah satu permasalahan dihadapi pada klasifikasi tentang ketidakseimbangan (imbalance Class) mana dataset terdapat jumlah datanya merata Sehingga memberikan dampak baik hasil klasifikasi. Cara mengatasi menerapkan metode SMOTE (Synthetic Minority Ov...

<span lang="EN-US">Data imbalance is one of the problems in application machine learning and data mining. Often this occurs most essential needed case entities. Two approaches to overcome problem are level approach algorithm approach. This study aims get best model using pap smear dataset that combined levels with an algorithmic solve imbalanced. The laboratory mostly have few imbalance. ...

Swarm intelligence mimics the behaviours of social insects like bees, wasps and ants to offer powerful problem solving metaheuristic which lies in a network of interactions amongst the agents of a multiagent system as well as with their environment. One of the computer algorithms inspired by swarm intelligence is the stochastic diffusion search (SDS). SDS uses some of the processes and techniqu...

Breast cancer prediction datasets are usually class imbalanced, where the number of data samples in malignant and benign patient classes significantly different. Over-sampling techniques can be used to re-balance construct more effective models. Moreover, some related studies have considered feature selection remove irrelevant features from for further performance improvement. However, since or...

Securities fraud is a common worldwide problem, resulting in serious negative consequences to securities market each year. Securities Regulatory Commission from various countries has also attached great importance to the detection and prevention of securities fraud activities. Securities fraud is also increasing due to the rapid expansion of securities market in China. In accomplishing the task...

A well balanced dataset is very important for creating a good prediction model. Medical datasets are often not balanced in their class labels. Most existing classification methods tend to perform poorly on minority class examples when the dataset is extremely imbalanced. This is because they aim to optimize the overall accuracy without considering the relative distribution of each class. In thi...

Class imbalance in a dataset is major problem for classifiers that results poor prediction with high true positive rate (TPR) but low negative (TNR) majority training dataset. Generally, the pre-processing technique of oversampling minority class(es) are used to overcome this deficiency. Our focus on using hybridization Generative Adversarial Network (GAN) and Synthetic Minority Over-Sampling T...

Imbalanced classification techniques have been applied widely in the field of data mining. It is used to classify imbalanced classes that are not equal number samples. The problem performance tends class with more samples while few will obtain poor performance. This can be occurred Qur’anic due different verses. Many studies classified verses, which depended on traditional classification. Howev...