Text

KLASIFIKASI ADWARE DENGAN PRINCIPAL COMPONENT ANALYSIS (PCA) MENGGUNAKAN RANDOM FOREST

---

Penilaian

---

Unsupervised feature extraction and selection algorithms, which are widely used to perform dimensionality reduction tasks to avoid overfitting. Machine Learning is a machine learning system in an artificial intelligence system approach or Artificial Intelligence with a simulation of the intelligence possessed by humans which is modeled in machines and programmed to think like humans. In this study, it is explained that the Adware classification using Random Forest is successful and this time it will use the algorithm from Principal Component Analysis (PCA) which functions as a dimension reduction process in the data used. From this research, the results obtained from the components are quite good with an accuracy value of 98.85%. While the recall value is 98.34%, the precision value is 98.52% and the FPR value is 0.44% and the OOB-error is 1.05%.

---

Availability

Inventory Code	Barcode	Call Number	Location	Status
2207004725	T82752	T827522022	Central Library (Referens)	Available but not for loan - Not for Loan

Detail Information

Series Title

-

Call Number

T827522022

Publisher

Inderalaya : Jurusan Sistem Komputer, Fakultas Ilmu Komputer Universitas Sriwijaya., 2022

Collation

xiv, 65 hlm.; ilus.; 29 cm

Language

Indonesia

ISBN/ISSN

-

Classification

006.307

Content Type

-

Media Type

-

Carrier Type

-

Edition

-

Subject(s)

Sistem Pakar
Jurusan Sistem Komputer

Specific Detail Info

-

Statement of Responsibility

SEPTA

Other version/related

File Attachment

Comments

---

You must be logged in to post a comment