Yıl 2005,
Cilt: 19 Sayı: 2, 93 - 107, 27.11.2010
Öz
Kendini düzenleyen haritalar (Self-Organizing Maps-SOM) veya diğer bir söyleyişle Kohonen ağları 1980’lerde geliştirilen en önemli ağ yapılarından birisidir. SOM’un ana fonksiyonu, n-boyutlu uzaydaki girdi verilerini, orijinal topolojik ilişkilerini koruyarak daha düşük boyutlu (genellikle bir veya iki) çizimle haritalaştırmasıdır. Bu çalışmada Bursa Emniyet Müdürlüğünden sağlanan veriler ile SOM, suçlu profilinin belirlenmesi amacıyla kullanılmıştır. Suçlu profilleri tanımlamaları C5.0 kural algoritması değerlendirilerek yapılmıştır.
Anahtar Kelimeler
Kaynakça
- Clementıne 7.0 User’s Guıde (2002), Integral Solutions Limited, USA.
- Dasu Tamraparni ve Johnson Theodore (2003), Exploratory Data Mining and Data Cleaning, John Wiley&Sons, USA.
- Dunham Margaret H. (2003), Data Mining Introductory and Advanced Topics, Prentice Hall, USA.
- Flexer Arthur (2001), “On the Use of Self-Organizing Maps for Clustering and Visualization”, Intelligent Data Analysis 5(2001).
- Kıang Melody Y (2001), “Extending the Kohonen Self-organizing Map Networks for Clustering Analysis”, Computational Statistics&Data Analysis, 38(2001).
- Kıang Melody Y. ve Kumar Ajith (2001), “An Evaluation of Self Organizing Map Networks as a Robust Alternative to Factor Analysis in Data Mining Applications”, Information Systems Research, Vol.12, No.2.
- Kloptchenko A., Eklund T., Karlsson J., Back B., Vanharanta H Ve Vısa A. (2004), “Combining Data and Text Mining Techniques for Analysing Financial Reports”, Intelligent Systems In Accounting, Finance and Management, Jan-Mar., 12, 1.
- Wang Shouhong (2001), “Cluster Analysis Using a Validated Self-organizing Method: Cases of Problem Identification”, International Journal of Intelligent Systems in Accounting, Finance&Management, 10 (2001).
- Wang Shouhong ve Wang Hai (2002), “Knowledge Discovery Through Self Organizing Maps: Data Visualization and Query Processing”, Knowledge and Information Systems, 4.
- Ouzlar Aye (2004), Veri Madenciliine Giri, Ekin Kitabevi, Bursa.
- Penn Brian S. (2005), “Using Self-Organizing Maps to Visualize High dimensional data”, Computers & Geosciences, article in press.
Yıl 2005,
Cilt: 19 Sayı: 2, 93 - 107, 27.11.2010
Öz
Kaynakça
- Clementıne 7.0 User’s Guıde (2002), Integral Solutions Limited, USA.
- Dasu Tamraparni ve Johnson Theodore (2003), Exploratory Data Mining and Data Cleaning, John Wiley&Sons, USA.
- Dunham Margaret H. (2003), Data Mining Introductory and Advanced Topics, Prentice Hall, USA.
- Flexer Arthur (2001), “On the Use of Self-Organizing Maps for Clustering and Visualization”, Intelligent Data Analysis 5(2001).
- Kıang Melody Y (2001), “Extending the Kohonen Self-organizing Map Networks for Clustering Analysis”, Computational Statistics&Data Analysis, 38(2001).
- Kıang Melody Y. ve Kumar Ajith (2001), “An Evaluation of Self Organizing Map Networks as a Robust Alternative to Factor Analysis in Data Mining Applications”, Information Systems Research, Vol.12, No.2.
- Kloptchenko A., Eklund T., Karlsson J., Back B., Vanharanta H Ve Vısa A. (2004), “Combining Data and Text Mining Techniques for Analysing Financial Reports”, Intelligent Systems In Accounting, Finance and Management, Jan-Mar., 12, 1.
- Wang Shouhong (2001), “Cluster Analysis Using a Validated Self-organizing Method: Cases of Problem Identification”, International Journal of Intelligent Systems in Accounting, Finance&Management, 10 (2001).
- Wang Shouhong ve Wang Hai (2002), “Knowledge Discovery Through Self Organizing Maps: Data Visualization and Query Processing”, Knowledge and Information Systems, 4.
- Ouzlar Aye (2004), Veri Madenciliine Giri, Ekin Kitabevi, Bursa.
- Penn Brian S. (2005), “Using Self-Organizing Maps to Visualize High dimensional data”, Computers & Geosciences, article in press.
Toplam 11 adet kaynakça vardır.
Ayrıntılar
| Birincil Dil | tr;en |
|---|---|
| Bölüm | Makaleler |
| Yazarlar | |
| Yayımlanma Tarihi | 27 Kasım 2010 |
| Yayımlandığı Sayı | Yıl 2005 Cilt: 19 Sayı: 2 |
