Abstract
Mining High Utility Itemsets (HUIs) is an important task with many applications. However, the set of HUIs can be very large, which makes HUI mining algorithms suffer from long execution times and huge memory consumption. To address this issue, concise representations of HUIs have been proposed. However, no concise representation of HUIs has been proposed based on the concept of generator despite that it provides several benefits in many applications. In this paper, we incorporate the concept of generator into HUI mining and devise two new concise representations of HUIs, called High Utility Generators (HUGs) and Generator of High Utility Itemsets (GHUIs). Two efficient algorithms named HUG-Miner and GHUI-Miner are proposed to respectively mine these representations. Experiments on both real and synthetic datasets show that proposed algorithms are very efficient and that these representations are up to 36 times smaller than the set of all HUIs.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Agrawal, R., Srikant, R.: Fast algorithms for mining association rules in large databases. In: Proc. Int. Conf. Very Large Databases, pp. 487–499 (1994)
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)
Fournier-Viger, P., Gomariz, A., Campos, M., Thomas, R.: Fast Vertical Mining of Sequential Patterns Using Co-occurrence Information. In: Tseng, V.S., Ho, T.B., Zhou, Z.-H., Chen, A.L.P., Kao, H.-Y. (eds.) PAKDD 2014, Part I. LNCS, vol. 8443, pp. 40–52. Springer, Heidelberg (2014)
Fournier-Viger, P., Wu, C.-W., Gomariz, A., Tseng, V.S.: VMSP: Efficient Vertical Mining of Maximal Sequential Patterns. In: Sokolova, M., van Beek, P. (eds.) Canadian AI. LNCS, vol. 8436, pp. 83–94. Springer, Heidelberg (2014)
Gao, C., Wang, J., He, Y., Zhou, L.: Efficient mining of frequent sequence generators. In: Proc. 17th Intern. Conf. World Wide Web, pp. 1051–1052 (2008)
Liu, M., Qu, J.: Mining High Utility Itemsets without Candidate Generation. In: Proceedings of CIKM 2012, pp. 55–64 (2012)
Liu, Y., Liao, W.-k., Choudhary, A.K.: A two-phase algorithm for fast discovery of high utility itemsets. In: Ho, T.-B., Cheung, D., Liu, H. (eds.) PAKDD 2005. LNCS (LNAI), vol. 3518, pp. 689–695. Springer, Heidelberg (2005)
Pham, T.-T., Luo, J., Hong, T.-P., Vo, B.: MSGPs: A novel algorithm for mining sequential generator patterns. In: Nguyen, N.-T., Hoang, K., Jȩdrzejowicz, P. (eds.) ICCCI 2012, Part II. LNCS, vol. 7654, pp. 393–401. Springer, Heidelberg (2012)
Shie, B.-E., Yu, P.S., Tseng, V.S.: Efficient algorithms for mining maximal high utility itemsets from data streams with different models. Expert Syst. Appl. 39(17), 12947–12960 (2012)
Soulet, A., Rioult, F.: Efficiently depth-first minimal pattern mining. In: Tseng, V.S., Ho, T.B., Zhou, Z.-H., Chen, A.L.P., Kao, H.-Y. (eds.) PAKDD 2014, Part I. LNCS, vol. 8443, pp. 28–39. Springer, Heidelberg (2014)
Szathmary, L., Valtchev, P., Napoli, A., Godin, R.: Efficient vertical mining of frequent closures and generators. In: Adams, N.M., Robardet, C., Siebes, A., Boulicaut, J.-F. (eds.) IDA 2009. LNCS, vol. 5772, pp. 393–404. Springer, Heidelberg (2009)
Szathmary, L., et al.: A fast compound algorithm for mining generators, closed patterns, and computing links between equivalence classes. Ann. Math. Artif. Intell. 70(1-2), 81–105 (2014)
Tseng, V.S., Shie, B.-E., Wu, C.-W., Yu, P.S.: Efficient Algorithms for Mining High Utility Itemsets from Transactional Databases. IEEE Trans. Knowl. Data Eng. 25(8), 1772–1786 (2013)
Wu, C.-W., Fournier-Viger, P., Yu., P.S., Tseng, V.S.: Efficient Mining of a Concise and Lossless Representation of High Utility Itemsets. In: Proceedings of ICDM 2011, pp. 824–833 (2011)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this paper
Cite this paper
Fournier-Viger, P., Wu, CW., Tseng, V.S. (2014). Novel Concise Representations of High Utility Itemsets Using Generator Patterns. In: Luo, X., Yu, J.X., Li, Z. (eds) Advanced Data Mining and Applications. ADMA 2014. Lecture Notes in Computer Science(), vol 8933. Springer, Cham. https://doi.org/10.1007/978-3-319-14717-8_3
Download citation
DOI: https://doi.org/10.1007/978-3-319-14717-8_3
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-14716-1
Online ISBN: 978-3-319-14717-8
eBook Packages: Computer ScienceComputer Science (R0)