Metode Klasifikasi Bersturuktur Pohon dengan Algoritma QUEST dan Algoritma CART (Aplikasi pada Data Pasien Penyakit Jantung)
DAFTAR PUSTAKA
Abdurrahman, M-R, Dwi, I, dan Alan, P. (2014). Pembentukan Pohon Klasifikasi
Biner dengan Algoritma QUEST (Quick, Unbiased, and Efficient Statistical
Tree) pada Data Pasien Liver. Jurnal Gaussian. 3: 731-739.
Breiman L., J.H. Friedman, R.A. Olshen & C.J. Stone. 1984. Classification and
Regression Tree. Chapman and Hall, New York.
Erika, Yasmin-F. 2007. Metode Klasifikasi Berstruktur Pohon dengan Algoritma
CRUISE, QUEST, dan CHAID. Forum Statistika dan Komputasi. 11: 2028.
Jiwadiana, G-A, Sukarsa, K-G, dan Srinadi, G-A. 2015. Klasifikasi Karakteristik
Kecelakaan Lalu Lintas di Kota Denpasar dengan Pendekatan
Classification and Regression Trees (CART). Jurnal Matematika. 4: 146151.
John, Wiley and Sons. 2011. Classification and Regression Trees. WIREs Data
Mining and Knownledge Discovery.1.
Kass, G. V. 1980. An Exploratory Technique for Investigating Large Quantities of
Categorical Data. Applied Statistics 29. 2:119–127.
Kim, H-J and Loh, W-L. 2001. Classification Trees with Unbiased Multiway
Splits. J. Amer. Statist. Assoc. 96: 598–604.
Loh, W-L., and Shih Y-S. 1997. Split Selection Methods for Classification Tress.
Statistica Sinica7: 815-840.
Mardiana. 2012. Penerapan Klasifikasi dengan Algoritma CART untuk Prediksi
Kuliah bagi Mahasiswa Baru. Seminar Nasional Aplikasi Teknologi
Informasi 2012. 1907-5022.
Maroco, et. al. 2011. Data Mining Methods in the Prediction of Dementia: A Real
Data Comparison of the Accuracy, Sensitivity and Specificity of Linear
Discriminant Analysis, Logistic Regression, Neural Networks, Support
Vector Machines, Classification Trees and Random Forests. BMC
Research. 4: 299.
Universitas Sumatera Utara
Rokach and Maimon. 2011. Data Miningand Knowledge Discovery Handbook.
Spring Street, New York.
Sprent, P. 1991. Metode Statistik Nonparametrik Terapan. UI-Press: Jakarta.
Susanto, S., dan Suryadi, D. 2010. Penghantar Data Mining. Penerbit Andi.
Universitas Sumatera Utara
Abdurrahman, M-R, Dwi, I, dan Alan, P. (2014). Pembentukan Pohon Klasifikasi
Biner dengan Algoritma QUEST (Quick, Unbiased, and Efficient Statistical
Tree) pada Data Pasien Liver. Jurnal Gaussian. 3: 731-739.
Breiman L., J.H. Friedman, R.A. Olshen & C.J. Stone. 1984. Classification and
Regression Tree. Chapman and Hall, New York.
Erika, Yasmin-F. 2007. Metode Klasifikasi Berstruktur Pohon dengan Algoritma
CRUISE, QUEST, dan CHAID. Forum Statistika dan Komputasi. 11: 2028.
Jiwadiana, G-A, Sukarsa, K-G, dan Srinadi, G-A. 2015. Klasifikasi Karakteristik
Kecelakaan Lalu Lintas di Kota Denpasar dengan Pendekatan
Classification and Regression Trees (CART). Jurnal Matematika. 4: 146151.
John, Wiley and Sons. 2011. Classification and Regression Trees. WIREs Data
Mining and Knownledge Discovery.1.
Kass, G. V. 1980. An Exploratory Technique for Investigating Large Quantities of
Categorical Data. Applied Statistics 29. 2:119–127.
Kim, H-J and Loh, W-L. 2001. Classification Trees with Unbiased Multiway
Splits. J. Amer. Statist. Assoc. 96: 598–604.
Loh, W-L., and Shih Y-S. 1997. Split Selection Methods for Classification Tress.
Statistica Sinica7: 815-840.
Mardiana. 2012. Penerapan Klasifikasi dengan Algoritma CART untuk Prediksi
Kuliah bagi Mahasiswa Baru. Seminar Nasional Aplikasi Teknologi
Informasi 2012. 1907-5022.
Maroco, et. al. 2011. Data Mining Methods in the Prediction of Dementia: A Real
Data Comparison of the Accuracy, Sensitivity and Specificity of Linear
Discriminant Analysis, Logistic Regression, Neural Networks, Support
Vector Machines, Classification Trees and Random Forests. BMC
Research. 4: 299.
Universitas Sumatera Utara
Rokach and Maimon. 2011. Data Miningand Knowledge Discovery Handbook.
Spring Street, New York.
Sprent, P. 1991. Metode Statistik Nonparametrik Terapan. UI-Press: Jakarta.
Susanto, S., dan Suryadi, D. 2010. Penghantar Data Mining. Penerbit Andi.
Universitas Sumatera Utara