Microarray Data Classification to Detect Cancer Cells By Using Discrete Wavelet Transform and Combining Classifiers K-nearest Neighbor and Support Vector Machines
HANAFI ABDULLAH GUSMAN
Informasi Umum
Kode
20.04.3770
Klasifikasi
000 - General Works
Jenis
Karya Ilmiah - Skripsi (S1) - Reference
Subjek
Computer Science-mathematics
Dilihat
49 kali
Informasi Lainnya
Abstraksi
Cancer has become a disease with the highest worldwide mortality rate, reaching 9.6 million occurrences in the year 2018. Researchers are using microarray data to observe the level of cancer expression gene. However, microarray data have huge data attribute and it causes curse of dimensionality. Thus, data processing takes a longer time. Dimensional reduction technique by using Discrete Wavelet Transform is being used in this research to solve these problems. The dimensional reduction process is utilizing the family daubechies4. Then, a method between K-nearest Neighbor and Support Vector Machines is chosen based on the neighbor similarity during the data classification process. Therefore, the created system could produce 95% classification accuracy for colon cancer’s data, 88.88% for breast cancer’s data, 87.16% for lung cancer’s data, and 100% for ovarian cancer’s data.
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Pengarang
| Nama | HANAFI ABDULLAH GUSMAN |
| Jenis | Perorangan |
| Penyunting | Adiwijaya, Widi Astuti |
| Penerjemah |
Penerbit
| Nama | Universitas Telkom |
| Kota | |
| Tahun | 2020 |
Sirkulasi
| Harga sewa | IDR 0,00 |
| Denda harian | IDR 0,00 |
| Jenis | Non-Sirkulasi |
