Abstract
The work in this paper is motivated by the real-world problems such as mining frequent traversal path patterns from very large Web logs. Generalized suffix trees over a very large alphabet can be used to solve such problems. However, traditional algorithms such as the Weiner, Ukkonen and McCreight algorithms are not sufficient assurance of practicality because of large magnitudes of the alphabet and the set of strings in those real-world problems. Two new algorithms are designed for fast construction of generalized suffix trees over a very large alphabet, and their performance is analyzed in comparison with the well-known Ukkonen algorithm. It is shown that these two algorithms have better performance, and can deal with large alphabets and large string sets well.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
J. Borges and M. Levene. Data mining of user navigation patterns. MS99, 1999.
A.G. Buchner and M.D. Mulvenna. Discovering internet marketing intelligence through online analytical web usage mining. ACM SIGMOD RECORD, pages 54–61, Dec. 1998.
L. Catledge and J. Pitkow. Characterizing browsing behaviors on the world wide web. Computer Networks and ISDN Systems, 27, 1995.
Z. Chen, R. Fowler, and A. Fu, Linear time algorithms for finding maximal forward references, Proc. of the IEEE Intl. Conf. on Info. Tech.: Coding & computing (ITCC 2003), 2003.
Z. Chen, R. Fowler, A. Fu, and C. Wang, Linear and sublinear time algorithms for mining frequent traversal path patterns from very large Web logs, Proceeding of the Seventh International Database Engineering and Applications Symposium, 2003.
Z. Chen, A. Fu, and F. Tong, Optimal algorithms for finding user access sessions from very large Web logs, Advances in Knowledge Discovery and Data Mining/PAKDD’02, Lecture Notes in Computer Science 2336, pages 290–296, 2002. (Full version will appear in Journal of World Wide Web: Internet and Information Systems, 2003.)
M.S. Chen, J.S. Park, and P.S. Yu. Efficient data mining for path traversal patterns. IEEE Transactions on Knowledge and Data Engineering, 10:2:209–221, 1998.
D. Gusfield, Algorithms on Strings, Trees, and Sequences, Cambridge University Press, 1997.
E. Hunt, M.P. Atkinson and R.W. Irving, A database index to large biological sequences, Proceedings of the 27th International Conference on Very Large Data Bases, pages 139–148, 2001.
R. Kosala and H. Blockeel, Web mining research: A survey, SIGKDD Explorations, 2(1), pages 1–15, 2000.
F. Masseglia, P. Poncelet, and R. Cicchetti, An efficient algorithm for Web usage mining, Networking and Information Systems Journal, 2(5–6), pages 571–603, 1999.
J. Pitkow and P. Pirolli, Mining longest repeating subsequences to predict World Wide Web Surfing, Proc. of the Second USENIX Symposium on Internet Technologies & Systems, pages 11–14, 1999.
E.M. McCreight, A space-economical suffix tree construction algorithm, Journal of Algorithms, 23(2), pages 262–272, 1976.
C. Shababi, A.M. Zarkesh, J. Abidi, and V. Shah. Knowledge discovery from user’s web page navigation. Proceedings of the Seventh IEEE Intl. Workshop on Research Issues in Data Engineering (RIDE), pages 20–29, 1997.
Z. Su, Q. Yang, Y. Lu, and H. Zhang, WhatNext: A prediction system for Web requests using N-gram sequence models, Proc. of the First International Conference on Web Information Systems Engineering, pages 200–207, 2000.
E. Ukkonen, On-line construction of suffix trees, Algorithmica, 14(3), pages 249–260, 1995.
P. Weiner, Linear pattern matching algorithms, Proc. of the 14th IEEE Annual Symp. on Switching and Automata Theory, pages 1–11, 1973.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2003 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Chen, Z., Fowler, R., Fu, A.WC., Wang, C. (2003). Fast Construction of Generalized Suffix Trees over a Very Large Alphabet. In: Warnow, T., Zhu, B. (eds) Computing and Combinatorics. COCOON 2003. Lecture Notes in Computer Science, vol 2697. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45071-8_30
Download citation
DOI: https://doi.org/10.1007/3-540-45071-8_30
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-40534-4
Online ISBN: 978-3-540-45071-9
eBook Packages: Springer Book Archive