1 |
C. Kim et al., "SQUIRE: Sequential Pattern Mining with Quantities," J. Syst. Software, vol. 80, no. 10, 2007, pp. 1726- 1745.
DOI
ScienceOn
|
2 |
http://www.almaden.ibm.com/cs/projects/iis/hdb/Projects/data_ mining/datasets/syndata.html
|
3 |
Frequent Itemset Mining Dataset Repository. Available at: http://fimi.cs.helsinki.fi/data/
|
4 |
Z. Zheng, R. Kohavi, and L. Mason, "Real World Performance of Association Rule Algorithms," Proc. 7th ACM SIGKDD Int. Conf. Knowl. Discovery Data Mining, 2001, pp. 401-406.
|
5 |
H. Yao and H.J. Hamilton, "Mining Itemset Utilities from Transaction Databases," Data Knowl. Eng., vol. 59, no. 3, 2006, pp. 603-626.
DOI
ScienceOn
|
6 |
Y. Liu, W.K. Liao, and A. Choudhary, "A Two Phase Algorithm for Fast Discovery of High Utility of Itemsets," Proc. 9th Pacific- Asia Conf. Knowl. Discovery Data Mining , 2005, pp. 689-695.
|
7 |
C.F. Ahmed et al., "An Efficient Candidate Pruning Technique for HUP Mining," Proc.13th Pacific-Asia Conf. Knowl. Discovery Data Mining, 2009, pp. 749-756.
|
8 |
Y.C. Li, J.S. Yeh, and C.C. Chang, "Isolated Items Discarding Strategy for Discovering High Utility Itemsets," Data Knowl. Eng., vol. 64, no. 1, 2008, pp. 198-217.
DOI
ScienceOn
|
9 |
C.F. Ahmed et al., "Efficient Tree Structures for HUP Mining in Incremental Databases," IEEE Trans. Knowl. Data Eng., vol. 21, no. 12, 2009, pp. 1708-1721.
DOI
|
10 |
R. Agrawal and R. Srikant, "Fast Algorithms for Mining Association Rules in Large Databases," Proc. 2nd Int. Conf. Very Large Data Bases, 1994, pp. 487-499.
|
11 |
J. Han et al., "Mining Frequent Patterns without Candidate Generation: A Frequent-Pattern Tree Approach," Data Mining Knowl. Discovery, vol. 8, 2004, pp. 53-87.
DOI
|
12 |
J. Han et al., "Frequent Pattern Mining: Current Status and Future Directions," Data Mining Knowl. Discovery, vol. 15, no. 1, 2007, pp. 55-86.
DOI
ScienceOn
|
13 |
M.N. Garofalakis, R. Rastogi, and K. Shim, "SPIRIT: Sequential Pattern Mining with Regular Expression Constraints," Proc. 25th Int. Conf. Very Large Data Bases, 1999, pp. 223-234.
|
14 |
J. Pei, J. Han, and W. Wang, "Mining Sequential Patterns with Constraints in Large Databases," Proc. 11th Int. Conf. Inform. Knowl. Management, 2002, pp. 18-25.
|
15 |
U. Yun, "A New Framework for Detecting Weighted Sequential Patterns in Large Sequence Databases," Knowl.-Based Syst., vol. 21, no. 2, 2008, pp. 110-122.
DOI
ScienceOn
|
16 |
U. Yun, "WIS: Weighted Interesting Sequential Pattern Mining with a Similar Level of Support and/or Weight," ETRI J., vol. 29, no. 3, June 2007, pp. 336-352.
DOI
ScienceOn
|
17 |
R. Agrawal and R. Srikant, "Mining Sequential Patterns," Proc. 11th Int. Conf. Data Eng., 1995, pp. 3-14.
|
18 |
R. Srikant and R. Agrawal, "Mining Sequential Patterns: Generalizations and Performance Improvements," Proc. 5th Int. Conf. Extending Database Technol., 1996, pp. 3-17.
|
19 |
M.J. Zaki, "SPADE: An Efficient Algorithm for Mining Frequent Sequences," Mach. Learning, vol. 42, no. 1-2, Jan. 2001, pp. 31- 60.
DOI
|
20 |
J. Ayres et al., "Sequential Pattern Mining Using a Bitmap Representation," Proc. 8th ACM SIGKDD Int. Conf. Knowl. Discovery Data Mining, 2002, pp. 429-435.
|
21 |
J. Pei et al., "Mining Sequential Patterns by Pattern-Growth: The PrefixSpan Approach," IEEE Trans. Knowl. Data Eng., vol. 16, no. 11, Oct. 2004, pp. 1424-1440.
DOI
ScienceOn
|
22 |
J. Pei et al., "PrefixSpan: Mining Sequential Patterns by Prefix- Projected Growth," Proc. 17th Int. Conf. Data Eng., 2001, pp. 215-224.
|
23 |
J. Wang, J. Han, and C. Li, "Frequent Closed Sequence Mining without Candidate Maintenance," IEEE Trans. Knowl. Data Eng., vol. 19, no. 8, 2007, pp. 1042-1056.
DOI
|
24 |
H. Yao, H.J. Hamilton, and C.J. Butz, "A Foundational Approach to Mining Itemset Utilities from Databases," Proc. 3rd SIAM Int. Conf. Data Mining, 2004, pp. 482-486.
|