S KOM 1100948 Bibliography

(1)

77

Dion Ajie Poetra, 2016

SISTEM PRED IKSI SPAM ACCOUNT PAD A MED IA SOSIAL TWITTER D ENGAN MENGGUNAKAN ALGORITMA C4.5

Universitas Pendidikan Indonesia | repository.upi.edu| perpustakaan.upi.edu

DAFTAR PUSTAKA

Azmi, Z., & M Dahria. (2013). Decision Tree Berbasis Algoritma Untuk Pengambilan Keputusan. Jurnal Ilmiah Saintikom.

Benevenuto, F., dkk. (2010). Detecting spammers on Twitter.

Berry, M.J.A., & Linoff, G. S. (2004). Data mining techniques: for marketing, sales, and customer relationship management. Indianapolis, IN: Wiley Publisher

Budi, M. dkk. (2010). Perbandingan Algoritme Pruning pada Decision Tree yang Dikembangkan dengan Algoritme CART. Departemen Ilmu Komputer, Institut Pertanian Bogor.

Cao, Q. Dkk. (2013). Aiding the Detection of Fake Accounts in Large Scale Social Online Services.

Cha, M. dkk. (2010). Measuring User Influence in Twitter: The Million Follower Fallacy. In International AAAI Conference on Weblogs and Social Media.

Chu, Z. dkk. (2012). Detecting Automation of Twitter accounts : Are you human, bot or Cyborg. IEEE Transactions on Dependable and Secure Computing Volume 9, 2012.

Copernicus. (2015). Twitter introduction for journal editors. [Online]. Tersedia:

http://www.copernicus.org/PDF_introduction-Twitter.pdf. [22 Agustus

2015]

Corriere Della Sera (online ed). (2012). Academic Claims 54% of Grillo’s Twitter followers are Bogus. [Online]. Tersedia: http://goo.gl/qi7Hq. [25 Agustus 2015].

(2)

78

Fayyad, Usama M. dan Keki B. Irani. (1992). On the Handling of Continuous

-Valued Attributes in Decision Tree Generation. University of Michigan.

Furnkranz, J. (1997). Pruning Algorithm for Rule Learning. Kluwer Academic Publishers.

Han, J. dan Kamber, M. (2006).Data Mining: Concepts and Techniques 2e.

Morgan Kaufmann Publishers, San Francisco.

Lin, P. dan Po-Min Huang. (2013). A Study of Effective Features for Detecting Long-Surviving Twitter Spam Account. 15th Internationl Conference , IEEE.

Networked Insights. 2014. How Disty is Social Data? An Analysis of Social spam. [Online]. Tersedia : http://www.networkedinsights.com/socialspam/. [24 November 2015]

New York Times (online ed.). (2015). Buying Their Way to Twitter Fame.

[Online]. Tersedia: http://goo.gl/VLrVK. [25 Agustus 2015].

Pietro, R. D., dkk . (2015). Fake account Detection on Twitter. Istituto di Informatica e Telematika.

Semiocast. (2012). Twitter reaches half a billion accounts. More than 140 millions in the US. [Online]. Tersedia: http://semiocast.com/en/publications/ 2012_07_30_Twitter_reaches_half_a_billion_accounts_140m_in_the_US [2 September 2015].

Sommerville, Ian. (2004). Software Engineering 7 edition. Pearson Education.

Statistic Brain. (2014). Twitter Statistic. [Online]. Tersedia: http://www.statisticbrain.com/Twitter-statistics/ [22 Agustus 2015]

(3)

79

Top5Anything. (2015). The top 5 Twitters users with the most Twitter followers. [Online]. Tersedia: http://top5ofanything.com/list/0bb7c453/Twitter-Us

ers-with-the-Most-Twitter-followers. [29 Agustus 2015].

Triyono, Joko. dkk. (2015). Penggunaan Jejaring Sosial Twitter Untuk Mengelola Pre-oder Produk pada E-Commerce di PEW “Usaha Bunda” Pilahan

Rejowinangun Kotagede Yogyakarta.

Twitter Inc. (2015). Twitter Usage. [Online]. Tersedia: https://about.Twitter.com/company. [22 Agustus 2015]

Twitter Inc. (2015). REST APIs. [Online]. Tersedia:

https://dev.Twitter.com/rest/public. [22 Agustus 2015].

Twitter Inc. (2015). The Twitter Rules. [Online]. Tersedia: https://support.Twitter.com/articles/18311. [22 November 2015].

Twitter Inc. (2015). Reporting spam on Twitter. [Online]. Tersedia : https://support.Twitter.com/articles/64986. [22 November 2015]

Verma, M. Dkk. (2014). Technique to Detect spammers in Twitter- A Survey. International Jurnal of Computer Applications (0975 - 8887).