Result 1 to 20 of 34 total
Enumeration tree based emerging patterns mining by using two different supports. (English)
Lee, Geuk (ed.) et al., Convergence and hybrid information technology. 5th international conference, ICHIT 2011, Daejeon, Korea, September 22‒24, 2011. Proceedings. Berlin: Springer (ISBN 978-3-642-24081-2/pbk). Lecture Notes in Computer Science 6935, 708-715 (2011).
1
Efficient food retrieval techniques considering relative frequencies of food related words. (English)
Lee, Geuk (ed.) et al., Convergence and hybrid information technology. 5th international conference, ICHIT 2011, Daejeon, Korea, September 22‒24, 2011. Proceedings. Berlin: Springer (ISBN 978-3-642-24081-2/pbk). Lecture Notes in Computer Science 6935, 368-375 (2011).
2
Effective ranking techniques for book review retrieval based on the structural feature. (English)
Lee, Geuk (ed.) et al., Convergence and hybrid information technology. 5th international conference, ICHIT 2011, Daejeon, Korea, September 22‒24, 2011. Proceedings. Berlin: Springer (ISBN 978-3-642-24081-2/pbk). Lecture Notes in Computer Science 6935, 360-367 (2011).
3
Approximate weighted frequent pattern mining with/without noisy environments (English)
Knowl.-Based Syst. 24, No. 1, 73-82 (2011).
4
Enumeration tree based emerging patterns mining by using two different supports (English)
ICHIT (1), 708-715 (2011).
5
Efficient food retrieval techniques considering relative frequencies of food related words (English)
ICHIT (1), 368-375 (2011).
6
Effective ranking techniques for book review retrieval based on the structural feature (English)
ICHIT (1), 360-367 (2011).
7
Discovering important sequential patterns with length-decreasing weighted support constraints. (English)
Int. J. Inf. Technol. Decis. Mak. 9, No. 4, 575-599 (2010).
8
Discovering important sequential patterns with length-decreasing weighted support constraints (English)
International Journal of Information Technology and Decision Making 9, No. 4, 575-599 (2010).
9
IMTAR: incremental mining of general temporal association rules (English)
JIPS 6, No. 2, 163-176 (2010).
10
On pushing weight constraints deeply into frequent itemset mining. (English)
Intell. Data Anal. 13, No. 2, 359-383 (2009).
11
Coronary artery disease prediction method using linear and nonlinear feature of heart rate variability in three recumbent postures. (English)
Inf. Syst. Front. 11, No. 4, 419-431 (2009).
12
On identifying useful patterns to analyze products in retail transaction databases (English)
IEICE Transactions 92-D, No. 12, 2430-2438 (2009).
13
A new framework for detecting weighted sequential patterns in large sequence databases (English)
Knowl.-Based Syst. 21, No. 2, 110-122 (2008).
14
An efficient mining of weighted frequent patterns with length decreasing support constraints (English)
Knowl.-Based Syst. 21, No. 8, 741-752 (2008).
15
Efficient mining of weighted interesting patterns with a strong weight and/or support affinity. (English)
Inf. Sci. 177, No. 17, 3477-3499 (2007).
16
Analyzing sequential patterns in retail databases. (English)
J. Comput. Sci. Technol. 22, No. 2, 287-296 (2007).
17
Mining lossless closed frequent patterns with weight constraints (English)
Knowl.-Based Syst. 20, No. 1, 86-97 (2007).
18
Analyzing sequential patterns in retail databases (English)
J. Comput. Sci. Technol. 22, No. 2, 287-296 (2007).
19
A pruning technique to discover correlated sequential patterns in retail databases. (English)
Sattar, Abdul (ed.) et al., AI 2006: Advances in artificial intelligence. 19th Australian joint conference on artificial intelligence, Hobart, Australia, December 4‒8, 2006. Proceedings. Berlin: Springer (ISBN 978-3-540-49787-5/pbk). Lecture Notes in Computer Science 4304. Lecture Notes in Artificial Intelligence, 1032-1036 (2006).
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Result 1 to 20 of 34 total
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