Handling high web access utility mining using intelligent hybrid hill climbing algorithm based tree construction

Author:

Tamilselvi T.,Tholkappia Arasu G.

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Software

Reference23 articles.

1. Ahmed, C.F., Tanbeer, S.K., Jeong, B.S., Lee, Y.K.: Efficient tree structures for high utility pattern mining in incremental databases. IEEE Trans. Knowl. Data Eng. 21(12), 1708–1721 (2009)

2. Bhattacharya, S., Dubey, D.: High utility item set mining. Int. J. Emerg. Technol. Adv. Eng. 2(8), 476–481 (2012)

3. Chordia, B.S., Adhiya, K.P.: Grouping web access sequences using sequence alignment method. Indian J. Comput. Sci. Eng. (IJCSE) 2(3), 308–314 (2011). In Proceeding of Bhupendra S Chordia et al.

4. Fong, A.C.M., Zhou, B., Hui, S., Tang, J., Hong, G.: Generation of personalized ontology based on consumer emotion and behavior analysis. IEEE Trans. Affect. Comput. 3(2), 152–164 (2012)

5. Jing, L., Keech, M., Chen, W.: Concurrency in web access patterns mining. In: Proceeding of IEEE International Conference on World Academy of Science, Engineering and Technology, vol. 3, pp. 842–851, 2009

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