Heuristics Miner for E-Commerce Visitor Access Pattern Representation
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References
N. H. Rawi, M. A. Bakar, R. Bahari, and A. M. Zin, “Development Environment for Layout Design of e-Commerce Applications Using Block-Based Approach,†Int. Conf. Electr. Eng. Informatics, no. July, 2011.
I. P. Tatsiopoulos, N. A. Panayiotou, and S. T. Ponis, “A modelling and evaluation methodology for E-Commerce enabled BPR,†Comput. Ind., vol. 49, pp. 107–121, 2002.
H. J. Wen and H. Chen, “E-commerce Web site design : strategies and models,†Inf. Manag. Comput. Secur., pp. 5–12, 2001.
L. K. J. Grace and D. Nagamalai, “Analysis Of Web Logs And Web User In Web Mining,†arXiv Prepr. arXiv1101.5668., vol. 3, no. 1, pp. 99–110, 2011.
S. S. Senkul, Pinar, “Improving pattern quality in web usage mining by using semantic information,†Knowl. Inf. Syst. 30.3, pp. 527–541, 2012.
Azam and N. Tabrez, “Data Mining of Web Access Logs Using Classification Techniques,†Int. J. Res. Appl. Sci. Eng. Technol. ( I J R A S E T ), vol. 2, no. Viii, pp. 1–5, 2014.
J. Vellingiri and S. C. Pandian, “A Survey on Web Usage Mining,†Glob. J. Comput. Sci. Technol., vol. 11, no. 4, 2011.
K. B. Patel, J. A. Chauhan, and J. D. Patel, “Web Mining in E-Commerce : Pattern Discovery , Issues and Applications,†Int. J. P2P Netw. Trends Technol., vol. 1, pp. 40–45, 2011.
L. Sun and X. Zhang, “Efficient Frequent Pattern Mining on Web Log Data,†Adv. Web Technol. Appl. Sixth Asia-Pacific Web Conf. APWeb 2004, no. March 2004, pp. 1–24, 2004.
D. M. Rathod, “A Review On Web Mining,†Int. J. Eng. Res. Technol., vol. Vol. 1, no. 2, April 2012, 2012.
N. Kaur, “EXPLORATION OF WEBMINER SYSTEM,†Int. J. Res. IT Manag., vol. 2, no. 2, pp. 239–248, 2012.
R. Iváncsy and I. Vajk, “Frequent Pattern Mining in Web Log Data,†Acta Polytech. Hungarica, vol. 3, no. 1, pp. 77–90, 2006.
R. Kosala, B.- Heverlee, and H. Blockeel, “Web Mining Research : A Survey,†ACM SIGKDD Explor. Newsl., vol. 2, no. 1, 2000.
Y. Wang, “Web Mining and Knowledge Discovery of Usage Patterns,†CS748T Proj. (Part I), no. Part I, pp. 1–25, 2000.
M. Gomes, “Web Structure Mining : An Introduction,†IEEE Int. Conf. Inf. Acquis., pp. 590–595, 2005.
J. Srivastava, B. Mobasher, J. Han, and N. Jain, “Web Mining : Pattern Discovery From World Wide Web Transactions,†in the 9th IEEE International Conference on Tools with AI (ICTAI,97), 1997.
R. Cooley, B. Mobasher, and J. Srivastava, “Data Preparation for Mining World Wide Web Browsing Patterns,†Knowl. Inf. Syst., vol. 1, no. 1, pp. 5–32, Jul. 2013.
M. Han, J., Kamber, Data mining: concept and techniques. Morgan Kaufmann Publisher, 2000.
W. Khalidy, A. P. Kurniati, and I. Atastina, “Implementasi Process Mining pada Prosedur Pengendalian Dokumen dengan Menggunakan Algoritma Heuristic Miner ( Studi Kasus : Institut Teknologi Telkom ) Implementation Process Mining in Document Control Procedure Using Heuristic Miner Algorithm (Case Studi)â€.