DAFTAR PUSTAKA
Agarwal, N., Rawat, M. & Maheshwari, V. 2014. Comperative analysis of jaccard coefficient and cosine similarity for web document similarity measure. International Journal for Advance Research in Engineering and Technology. 2: 18-21.
Azma, S. 2006. Pembuatan alat bantu dalam proses data cleaning pada intra-govermental access to shared information system (IGASIS). Skripsi. Universitas Telkom.
Chahal, M. 2016. Information retrieval using jaccard similarity coefficient. International Journal of Computer Trends and Technology(IJCTT). 36 (3): 140-142.
Han, J. & Kamber, M. 2006. Data Mining: Concept and techniques. Second Edition. Elsevier: The United States of America.
He, L., Zhang, Z., Tan, Y. & Liao, M. 2011. An Efficient Data Cleaning Algorithm Based on Attributes Selection. 6th International Conference on Computer Science and Convergence Information Technology (ICCIT), IEEE, pp. 375-379.
Hermawati, F.A. 2013. Data mining. Yogyakarta: Penerbit Andi.
Liliana., Budhi, G. S., Wibisono, A. & Tanojo, R. 2012. Pengecekan plagiarisme pada code dalam bahaca C++. Jurnal Informatika. Universitas Kristen Petra Surabaya. (Online) http://jurnalinformatika.petra.ac.id/index.php /inf/article/view/18649 (18 Mei 2016).
Prasetyo, E., 2014. Data mining: Mengolah data menjadi informasi menggunakan matlab. Yogyakarta: Penerbit Andi.
Primadani, Y. 2014. Simulasi algoritma leveinsthein distance untuk fitur autocomplete pada aplikasi katalog perpustakaan. Skripsi. Universitas Sumatera Utara.
Rahm, d & Do, H.H. 2000. Data Cleaning: Problem and current approaches. IEEE Bulletin of the Technical Committee on Data Engineering 23(4): 1-11.
Riezka, A. 2011. Analisis dan implementasi data cleaning menggunakan metode multi-pass neighborhod(MPN). Skripsi. Universitas Telkom
Silberschatz, A., Korth, H.F. & Sudarshan, S. 2006. Database system concepts. 5th Edition. Singapore: McGraw Hill.
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Tamilselvi, J.J. & Saravan, V., 2010. An Evaluation on Current Research Trends in Data Cleaning on Data Warehouseing. International Journal of Computational Intelligence Research 6(3): 405-430.
Ugon, A., Nicolas, T., Richard., M., Guerin, P., Chansard, P., Demoor, C. & Toubiana L., 2015. A new approach for cleansing geographical dataset using Leveinsthein distance, prior knowledge and contextual information. European Federation for Medical Informatics (EFMI) 227-229.