Earthquake Prediction using Sequential Pattern Mining and Complex Network Analysis
HENRI TANTYOKO
Informasi Umum
Kode
23.05.019
Klasifikasi
004 - Data processing, Computer science
Jenis
Karya Ilmiah - Thesis (S2) - Reference
Subjek
Network Analysis, Data Processing,
Dilihat
238 kali
Informasi Lainnya
Abstraksi
<p>Earthquakes are natural events that occur due to the movement of the earth's plates. Hot liquid magma with great energy causes the earth's plates to move. These natural events cannot be eliminated or manipulated. These earthquakes occur repeatedly so as to form a pattern of seismic activity. This pattern can be used as knowledge to predict earthquake activity. This study applies the Sequential Pattern Mining (SPM) method to find patterns from a series of earthquake activities. Furthermore, to obtain rules with confidence values for the pattern sequence, the Sequential Rule Mining (SRM) method is used. The earthquake prediction system shows promising result to some extent and based on two kinds of weight. The experimental results show that the prediction accuracy with no weights is 78.625%) compared to the accuracy is 83.940% using betweenness. centrality value as the weight. Meanwhile, the accuracy is 83.605 % using eigenvector centrality as the weight.</p>
- CII6J3 - ILMU JEJARING
- CSH553 - KOMPUTASI SOSIAL
Koleksi & Sirkulasi
Seluruh 1 koleksi sedang dipinjam
Anda harus log in untuk mengakses flippingbook
Pengarang
| Nama | HENRI TANTYOKO |
| Jenis | Perorangan |
| Penyunting | Setyorini |
| Penerjemah |
Penerbit
| Nama | Universitas Telkom, S2 Informatika |
| Kota | Bandung |
| Tahun | 2023 |
Sirkulasi
| Harga sewa | IDR 0,00 |
| Denda harian | IDR 0,00 |
| Jenis | Non-Sirkulasi |
