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Berry Michael J.A and S.Linoff Gordon Data Mining Techniques : for Marketing, Sales, and Customer Relationship Management [Book]. - Canada : Wiley Publishing, Inc, 2004.
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Boussaid 0, Bentayeb F and Darmont J A MultiAgent [Conference] // 10th ISPE International Conference on Concur-rent. - Portugal : Madeira Island, 2003. - pp. 49-52.
Cao Longbing [et al.] Combined Mining: Dis-covering Informative Knowledge in Complex Data [Journal] // IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS—PART B: CYBER-NETICS, VOL. 41, NO. 3. - 2011.
Chen Feng [et al.] Data Mining for the Inter-net of Things:Literature Review and Challenges [Journal] // International Journal of Distributed Sensor Net-works. - [s.l.] : Hindawi Publishing Corporation, 2015.
DENG Shangkun [et al.] Combining Tech-nical Analysis with Sentiment Analysis for Stock Price Prediction [Journal] // Ninth IEEE International Conference on Dependable, Autonomic and Se-cure Computing. - 2011.
ENTREPOTS,REPRESENTATION & INGE-NIERE des CONNAISSANCES [Online] // http://eric.ish-lyon.cnrs.fr/. - ERIC. - 12 23, 2015. - http://eric.ish-lyon.cnrs.fr/default.php?p=51&c=EN&furl=complex_data_a_definition.
Han Jiawei and Kamber M Data Mining Con-cept and Techniques [Book]. - Ameri-ka Serikat : Morgan Kauffman Pub-lisher, 2004.
Han Jiawei, Pei Jian and Yin Yiwen Mining Frequent Patterns without Candidate Generation : A Frequent-Pattern Tree [Journal]. - The Netherland : Kluwer Academic Publishers, 2004. - Vol. 8.
Houtsma Maurice and Swami Arun Set-Oriented Mining for Association Rules in Relational Databases [Journal]. - [s.l.] : IEEE, 1995. - 1063-6382195.
Jian Pei, Jiawei Han,Behzad Mortazavi-Asl, Jianyong Wang, Helen Pinto, Qiming Chen, Mei-Chun Hsu Mining Sequen-tial Patterns by Pattern-Growth:The PrefixSpan Approach [Journal] // IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING. - [s.l.] : IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2004. - 11 : Vol. 16. - 1041-4347/04.
Kumar A.V. Senthil and Wahidabanu R.S.D. Discovery of Frequent Itemsets: Fre-quent Item Tree-Based [Conference]. - Bandung : ITB J. ICT, 2007. - Vol. 1 C.
Morimoto Yasuhiko [et al.] Method and ap-paratus for deriving an optimized con-fidence rule [Patent] : 5,870,748. - New York, October 25, 1996.
Sakurai Shigeaki, Kyoko Makino and Matsu-moto Shigeru A Prediction of Attrac-tive Evaluation Objects Based On Complex Sequential Data [Journal] // International Journal of Computer, Information, Systems and Control Engineering. - [s.l.] : World Academy of Science, Engineering and Technol-ogy, 2014. - 2 : Vol. 8. - p. Vol:8 No:2.
Sakurai Shigeaki, Makino Kyoko and Matsu-moto Shigeru A Discovery Method of Trend Rules from Complex Sequential Data [Journal] // 26th International Conference on Advanced Information Networking and Applications Work-shops. - 2012.
Sakurai Shigeaki, Makino Kyoko and Matsu-moto Shigeru A Prediction of Attrac-tive Evaluation Objects Based On Complex Sequential Data [Journal]. - [s.l.] : World Academy of Science, En-gineering and Technology, 2014. - 2 : Vol. 8.
Tanasescu Adrian, Boussaid O. and Bentayeb F. Preparing Complex Data for Warehousing [Journal] // IEEE. - 2005.
Vinodhini G and Chandrasekaran RM Senti-ment Analysis and Opinion Mining: A Survey [Journal] // International Jour-nal of Advanced Research in Comput-er Science and Software Engineering. - 2012.
Y Li and S.M Chung Text Document Cluster-ing Based on Frequent Word Se-quence [Conference] // Proceedings of the 14th ACM international confer-ence on Information and knowledge management. - New York : [s.n.], 2005. - pp. 293-294.
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Copyright
© Apriani Puti Purfini, 2018
Affiliations
Apriani Puti Purfini
Program Studi Komputerisasi Akuntansi, Fakultas Teknik dan Ilmu Komputer, Universitas Komputer Indonesia
How to Cite
Purfini, A. (2017). PENGARUH CUACA DAN REVIEW PELANGGAN TERHADAP PENJUALAN E-COMMERCE DI INDONESIA MENGUNAKAN ASSOCIATION RULES BERDASARKAN OBJEK EVALUASI. Majalah Ilmiah UNIKOM, 15(2). Retrieved from https://ojs.unikom.ac.id/index.php/jurnal-unikom/article/view/558
PENGARUH CUACA DAN REVIEW PELANGGAN TERHADAP PENJUALAN E-COMMERCE DI INDONESIA MENGUNAKAN ASSOCIATION RULES BERDASARKAN OBJEK EVALUASI
Vol 15 No 2 (2017)
Abstract
Berbagai data yang ada di internal dan eksternal perusahaan dikumpulkan dan disimpan selama operasi bisnis untuk mendukung penambilan keputusan. Menggabungkan data yang memiliki format dan struktur berbeda yang berasal dari sumber berbeda akan mendapatkan informasi lebih komprehensif dibandingkan mendapatkan informasi hanya dari satu sumber data. Penelitian ini difokuskan untuk melakukan analisa data dengan mengembangan metode Trend Rules by Evaluation Object yang melibatkan data cuaca,data ulasan kosumen dan data transaksi e-commerce di Indonesia.