S KOM 0905544 Bibliography
96
DAFTAR PUSTAKA
Andhika, F. R., & Widyantoro, D. H. (2012). Klasifikasi Topik Terhadap Teks
Pendek pada Jejaring Sosial Twitter.
Banu, T. (2015, Februari 24). News: Social Media Week. Retrieved Agustus 19,
2015,
from
Social
Media
Week
Jakarta:
http://socialmediaweek.org/jakarta/2015/02/24/peran-social-media-dalampenyebaran-berita/
Batuwita, R., & Palade, V. (2010). Efficient Resampling Methods for Training
Support Vector Machine with Imbalanced Datasets.
Chawla, N. V. (2005). Data Mining for Imbalanced Datasets: An Overview. In O.
Maimon, & L. Rokach, Data Mining and Knowledge Discovery
Handbook: A Complete Guide for Practitioners and Researchers (pp. 853854). Springer.
Feinerer, I., & Hornik, K. (2008). Text Mining Infrastructure. Journal of Statistic
Software, Volume 25.
Feldman, R., & Sanger, J. (2007). The Text Mining Handbook. Cambridge:
Cambridge University Press.
Fernandez, A., Garcia, S., Luengo, J., Bernado-Mansilla, E., & Herrera, F. (2010).
Genetics-based Machine Learning for Rule Induction: State of the Art,
Taxonomy, and Comparative Study. IEEE Transactions on Evolutionary
Computation 14, 913-941.
Go, A., Bhayani, R., & Huang, L. (2009). Twitter Sentiment Classification Using
Distant Supervision. 5.
Google News. (2013). About: Google News. Retrieved Januari 2015, from Google
News: http://www.google.com/intl/en_us/about_google_news.html
Rany Kasman, 2015
PEMBANGUNAN TWEET AGGREGATOR DENGAN MENGGUNAKAN METODE NAÏVE BAYES
Universitas Pendidikan Indonesia | \.upi.edu perpustakaan.upi.edu
97
He, H., & Garcia, E. A. (2009). Learning from Imbalanced Data. IEEE
Transactions on Knowledge and Data Engineering, 1063-1284.
Isbell, K. (2010). The Rise of the News Aggregator: Legal Implications and Best
Practices. Berkman Center Research Publication No. 2010-10, 2-5.
Manning, C. D., Raghavan, P., & Schutze, H. (2009). An Introduction to
Information Retrieval. Cambridge: Cambridge University Press.
Nazir, M. (2003). Metode Penelitian. Jakarta: Ghalia Indonesia.
Pressman, R. S. (2001). Software Engineering: A Practitioner's Approach, Fifth
Edition. Boston: McGraw-Hill.
Sriram, B. (2010). Short Text Classification in Twitter to Improve Information
Filtering. 47-64.
Talla, F. Z. (2002). A Study of Stemming Effects on Information Retrieval in
Bahasa Indonesia.
Techmeme. (2014). About: Techmeme. Retrieved Januari 2015, from Techmeme:
https://www.techmeme.com/about
Tokoh Indonesia. (2015). Ensiklopedi Tokoh Indonesia. Retrieved 2015, from
Tokoh Indonesia: http://www.tokohindonesia.com/
Twitter.
(2014).
About:
Twitter.
Retrieved
2015,
from
Twitter:
https://about.twitter.com/
Twitter. (2015). Twitter Developers: Documentation. Retrieved 2015, from
Twitter: https://dev.twitter.com/overview/documentation
V. Lopez, A., Fernandez, S., Garcia, V., Palade, & Herrera, F. (2013). An Insight
into Classification with Imbalanced Data: Empirical Results and Current
Trends on Using Data Intrinsic Characteristics. Information Sciences 250,
113-141.
Rany Kasman, 2015
PEMBANGUNAN TWEET AGGREGATOR DENGAN MENGGUNAKAN METODE NAÏVE BAYES
Universitas Pendidikan Indonesia | \.upi.edu perpustakaan.upi.edu
98
Weng, C. G., & Poon, J. (2006). A New Evaluation Measure for Imbalanced
Datasets.
Rany Kasman, 2015
PEMBANGUNAN TWEET AGGREGATOR DENGAN MENGGUNAKAN METODE NAÏVE BAYES
Universitas Pendidikan Indonesia | \.upi.edu perpustakaan.upi.edu
DAFTAR PUSTAKA
Andhika, F. R., & Widyantoro, D. H. (2012). Klasifikasi Topik Terhadap Teks
Pendek pada Jejaring Sosial Twitter.
Banu, T. (2015, Februari 24). News: Social Media Week. Retrieved Agustus 19,
2015,
from
Social
Media
Week
Jakarta:
http://socialmediaweek.org/jakarta/2015/02/24/peran-social-media-dalampenyebaran-berita/
Batuwita, R., & Palade, V. (2010). Efficient Resampling Methods for Training
Support Vector Machine with Imbalanced Datasets.
Chawla, N. V. (2005). Data Mining for Imbalanced Datasets: An Overview. In O.
Maimon, & L. Rokach, Data Mining and Knowledge Discovery
Handbook: A Complete Guide for Practitioners and Researchers (pp. 853854). Springer.
Feinerer, I., & Hornik, K. (2008). Text Mining Infrastructure. Journal of Statistic
Software, Volume 25.
Feldman, R., & Sanger, J. (2007). The Text Mining Handbook. Cambridge:
Cambridge University Press.
Fernandez, A., Garcia, S., Luengo, J., Bernado-Mansilla, E., & Herrera, F. (2010).
Genetics-based Machine Learning for Rule Induction: State of the Art,
Taxonomy, and Comparative Study. IEEE Transactions on Evolutionary
Computation 14, 913-941.
Go, A., Bhayani, R., & Huang, L. (2009). Twitter Sentiment Classification Using
Distant Supervision. 5.
Google News. (2013). About: Google News. Retrieved Januari 2015, from Google
News: http://www.google.com/intl/en_us/about_google_news.html
Rany Kasman, 2015
PEMBANGUNAN TWEET AGGREGATOR DENGAN MENGGUNAKAN METODE NAÏVE BAYES
Universitas Pendidikan Indonesia | \.upi.edu perpustakaan.upi.edu
97
He, H., & Garcia, E. A. (2009). Learning from Imbalanced Data. IEEE
Transactions on Knowledge and Data Engineering, 1063-1284.
Isbell, K. (2010). The Rise of the News Aggregator: Legal Implications and Best
Practices. Berkman Center Research Publication No. 2010-10, 2-5.
Manning, C. D., Raghavan, P., & Schutze, H. (2009). An Introduction to
Information Retrieval. Cambridge: Cambridge University Press.
Nazir, M. (2003). Metode Penelitian. Jakarta: Ghalia Indonesia.
Pressman, R. S. (2001). Software Engineering: A Practitioner's Approach, Fifth
Edition. Boston: McGraw-Hill.
Sriram, B. (2010). Short Text Classification in Twitter to Improve Information
Filtering. 47-64.
Talla, F. Z. (2002). A Study of Stemming Effects on Information Retrieval in
Bahasa Indonesia.
Techmeme. (2014). About: Techmeme. Retrieved Januari 2015, from Techmeme:
https://www.techmeme.com/about
Tokoh Indonesia. (2015). Ensiklopedi Tokoh Indonesia. Retrieved 2015, from
Tokoh Indonesia: http://www.tokohindonesia.com/
Twitter.
(2014).
About:
Twitter.
Retrieved
2015,
from
Twitter:
https://about.twitter.com/
Twitter. (2015). Twitter Developers: Documentation. Retrieved 2015, from
Twitter: https://dev.twitter.com/overview/documentation
V. Lopez, A., Fernandez, S., Garcia, V., Palade, & Herrera, F. (2013). An Insight
into Classification with Imbalanced Data: Empirical Results and Current
Trends on Using Data Intrinsic Characteristics. Information Sciences 250,
113-141.
Rany Kasman, 2015
PEMBANGUNAN TWEET AGGREGATOR DENGAN MENGGUNAKAN METODE NAÏVE BAYES
Universitas Pendidikan Indonesia | \.upi.edu perpustakaan.upi.edu
98
Weng, C. G., & Poon, J. (2006). A New Evaluation Measure for Imbalanced
Datasets.
Rany Kasman, 2015
PEMBANGUNAN TWEET AGGREGATOR DENGAN MENGGUNAKAN METODE NAÏVE BAYES
Universitas Pendidikan Indonesia | \.upi.edu perpustakaan.upi.edu