S KOM 1100948 Bibliography
77
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].
Egele, M. dkk. (2013). COMPA: Detecting Compromised Accounts on Social
Network. University of California.
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
78
Fayyad, Usama M. dan Keki B. Irani. (1992). On the Handling of ContinuousValued 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]
Thomas, K. dkk. (2013). Trafficking Fraudulent Accounts: The Role of the
Underground Market in Twitter spam and Abuse. USENIX Security
Symposium.
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
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.
REST
(2015).
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).
Wibisono, Y. (2011). Sistem Analisis Opini Microblogging Berbahasa Indonesia.
Jurnal FPMIPA UPI.
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].
Egele, M. dkk. (2013). COMPA: Detecting Compromised Accounts on Social
Network. University of California.
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
78
Fayyad, Usama M. dan Keki B. Irani. (1992). On the Handling of ContinuousValued 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).
Statistic.
[Online].
Tersedia:
http://www.statisticbrain.com/Twitter-statistics/ [22 Agustus 2015]
Thomas, K. dkk. (2013). Trafficking Fraudulent Accounts: The Role of the
Underground Market in Twitter spam and Abuse. USENIX Security
Symposium.
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
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.
Inc.
(2015).
Usage.
[Online].
Tersedia:
https://about.Twitter.com/company. [22 Agustus 2015]
Inc.
REST
(2015).
APIs.
[Online].
Tersedia:
https://dev.Twitter.com/rest/public. [22 Agustus 2015].
Inc.
(2015).
The
Rules.
[Online].
Tersedia:
https://support.Twitter.com/articles/18311. [22 November 2015].
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).
Wibisono, Y. (2011). Sistem Analisis Opini Microblogging Berbahasa Indonesia.
Jurnal FPMIPA UPI.
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