A Heuristic Mining Algorithm Using Web Hyperlink Structure

Abstract:

Web mining aims to discover useful information or knowledge from the Web hyperlink structure, page content and usage log. Based on the primary kind of data used in the mining process, Web mining tasks are categorized into three main types: Web structure mining, Web content mining and Web usage mining. Following is what they do on Web Data Mining. This paper proposed a heuristic mining algorithm.

• Periodical: Advanced Materials Research (Volumes 108-111)
• Pages: 11-16
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.108-111.11
• Online since: May 2010
• Authors: Chun Lai Chai
• Keywords: Heuristic Mining Algorithm, Hyperlink Structure, Web Mining

References

[1] Adam Dunkels, Niclas Finne, Joakim Eriksson, and Thiemo Voigt. Run-Time Dynamic Linking for Reprogramming Wireless Sensor Networks. In Proceedings of the Fourth ACM Conference on Embedded Networked Sensor Systems, Boulder, Colorado, USA, November (2006).

DOI: 10.1145/1182807.1182810

[2] Raymer, M., Punch, W., Goodman, E. Dimensionality reduction using genetic algorithm. IEEE Transactions on Evolutionary Computing, 2000, 12(4): 164-171.

DOI: 10.1109/4235.850656

[3] YU Hong-mei, YAO Ping-jing. Combined genetic algorithm/ simulated annealing algorithm for large-scale system energy integration [J] . Computers and Chemical Engineering , Elsevier Science Ltd , 2000 , 8(24) : 2023 - (2035).

DOI: 10.1016/s0098-1354(00)00601-3

[4] Metropolis N, Rosenbluth A.W. Equation of state calculations by fast computing machines[J]. Journal of Chemical Physics, 2003，1087-1092.

[5] M. Boughanem, C. Chrisment, J. Mothe, C. S. Dupuy, and L. Tamine. Connectionist and genetic approaches for information retrieval[C], in Soft Computing in Information Retrieval: Techniques and Applications Heidelberg, Germany: Physica-Verlag 2000, 12（50）： 102-121.

DOI: 10.1007/978-3-7908-1849-9_8

[6] Ratnasamy, Sylvia and Karp, Brad and Shenker, Scott and Estrin, Deborah and Govindan, Ramesh and Yin, Li and Yu, Fang [Data-Centric Storage in Sensornets with GHT, a Geographic Hash Table]. ACM/Springer Mobile Networks and Applications (MONET), Special Issue on Wireless Sensor Networks, August (2003).

DOI: 10.1145/570738.570750

[7] C.W. Ahn, R.S. Ramakrishna, A genetic algorithm for shortest path routing problem and the sizing of populations, IEEE Transactions on Evolutionary Computation 20026 (6): 107-116.

DOI: 10.1109/tevc.2002.804323

[8] H. Ishibuchi, T. Nakashima, T. Yamamoto, Fuzzy association rules for handling continuous attributes, in: Proc. IEEE ISIE, 2001, pp.118-121.

DOI: 10.1109/isie.2001.931767

[9] C. Zhang and S. Zhang. Association Rule Mining: models and algorithms[C]. Springer, Sydney, Australia, 2002, pp.238-251.

[10] T. P. Hong, C. H. Chen, Y. L. Wu and Y. C. Le, Mining membership functions and fuzzy association rules[C], The 2003 Joint Conference on AI, Fuzzy System, and Grey System, 2003, pp.213-219.

[11] C.F. Juan hybrid of genetic algorithm and particle swarm optimization for recurrent network design[J], IEEE Transaction on Systems, Man, and Cybernetics-Part B: Cybernetics, 2004, 34(2): 997-1006.

DOI: 10.1109/tsmcb.2003.818557

[12] J. McCarthy, Phenomenal data mining, association for computing machinery, Communications of the ACM , 2000, 43 (8): 75-80.

[13] T.K. Sung, N. Chang, G. Lee. Dynamics of modeling in data mining: Interpretive approach to bankruptcy prediction, Journal of Management Information Systems1999, 16 (1): 63-86.

DOI: 10.1080/07421222.1999.11518234