IMPLEMENTASI SUPERVISED EMERGING PATTERNS PADA SEBUAH ATTRIBUT: (STUDI KASUS ANGGARAN PENDAPATAN BELANJA DAERAH (APBD) PERUBAHAN PADA PEMERINTAH DKI JAKARTA)
Abstract
Full Text:
PDFReferences
Daniel T. Larose. 2005, Discovering Knowledge In Data : An Introduction To Data Mining”.America.
Dong, G., & Li, J. (1999). Efficient mining of emerging patterns: discovering trends and differences. Proceedings of the Fifth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (pp. 43–52). San Diego, CA: ACM Press.
Dong, G., Zhang, X., Wong, L., & Li, J. (1999). Classification by aggregating emerging patterns. Proceedings ofthe Second International Conference on Discovery Science (pp. 30–42). Tokyo, Japan: Springer-Verlag.
Dong, G., dan Jinyan Li. 1999, Mining border descriptions of emerging patterns from dataset pairs”. USA, Singapore. Knowledge and Information Systems (2005) 8: 178–202.
John Wiley dan Sons, Ltd. 2014, A Practical Guide to Data Mining for Business and Industry”. Germany. Li, J ., Dong, G., & R amamohanarao, K . (2001). Making Use of the Most Expressive Jumping Emerging Patterns for Classification.Knowledge and Information Systems, 3 (2), 131-145.
Spits, Warnars. 2014, Mining Frequent Pattern with Attribute Oriented Induction High Level Emerging Pattern (AOI-HEP). 20142nd International Conference on Information and Communication Technology (ICoICT). Jurnal Vol. 978-1- 4799-3580-2/14/$31.00 © 2014 IEEE.
Spits Warnars, (2014), “Mining Frequent and Similar Patterns with Attribute Oriented Induction High Level Emerging Pattern (AOI-HEP) Data Mining Technique”, International Journal of Emerging Technologies in Computational and Applied Sciences (IJETCAS), vol. 3, Issue 11, pp.266-276.
Tubagus M. Akhriza, Yinghua MA dan Jianhua LI. 2015, A Novel Fibonacci Windows Model for Finding Emerging Patterns over Online Data Stream. 2015 International Conference on Cyber Security of Smart cities, Industrial Control System and Communications (SSIC). Jurnal Vol. 978-1- 4673-7977-9/15/$31.00 © 2015 IEEE.
Refbacks
- There are currently no refbacks.
==============================================================================================================
Prosiding SEMNASTEK Fakultas Teknik
Universitas Muhammadiyah Jakarta
Jl. Cempaka Putih Tengah 27
Jakarta Pusat 10510
T. 021.4256024, 4244016 / F. 021.4256023
ISSN : 2407 – 1846
e-ISSN : 2460 – 8416
==============================================================================================================