E-LIB Suche - Ergebnisse für: Lan, Guo-Cheng

1

A Bitmap Approach for Mining Erasable Itemsets:

Hong, Tzung-Pei ; Huang, Wei-Ming ; Lan, Guo-Cheng..
IEEE Access. 9 (2021) - p. 106029-106038 , 2021

Link: https://doi.org/10.1109/..

2

High Utility Partial Periodic Pattern Mining:

, In: Proceedings of the 4th Multidisciplinary International Social Networks Conference,

Hong, Tzung-Pei ; Hsu, Jen-Hao ; Lan, Guo-Cheng... - p. 1-4 , 2017

Link: https://dl.acm.org/doi/1..

3

Discovery of temporal association rules with hierarchical g..:

Hong, Tzung-Pei ; Lan, Guo-Cheng ; Su, Ja-Hwung..
Applied Computing and Informatics. 12 (2016) 2 - p. 134-141 , 2016

Link: https://doi.org/10.1016/..

4

Mining fuzzy temporal association rules by item lifespans:

Chen, Chun-Hao ; Lan, Guo-Cheng ; Hong, Tzung-Pei.
Applied Soft Computing. 41 (2016) - p. 265-274 , 2016

Link: https://doi.org/10.1016/..

5

Efficient updating of discovered high-utility itemsets for ..:

Lin, Chun-Wei ; Hong, Tzung-Pei ; Lan, Guo-Cheng..
Advanced Engineering Informatics. 29 (2015) 1 - p. 16-27 , 2015

Link: https://doi.org/10.1016/..

6

Fuzzy utility mining with upper-bound measure:

Lan, Guo-Cheng ; Hong, Tzung-Pei ; Lin, Yi-Hsin.
Applied Soft Computing. 30 (2015) - p. 767-777 , 2015

Link: https://doi.org/10.1016/..

7

On-shelf utility mining with negative item values:

Lan, Guo-Cheng ; Hong, Tzung-Pei ; Huang, Jen-Peng.
Expert Systems with Applications. 41 (2014) 7 - p. 3450-3459 , 2014

Link: https://doi.org/10.1016/..

8

A two-phase approach for mining weighted partial periodic p..:

Yang, Kung-Jiuan ; Hong, Tzung-Pei ; Lan, Guo-Cheng.
Engineering Applications of Artificial Intelligence. 30 (2014) - p. 225-234 , 2014

Link: https://doi.org/10.1016/..

9

Applying the maximum utility measure in high utility sequen..:

Lan, Guo-Cheng ; Hong, Tzung-Pei ; Tseng, Vincent S..
Expert Systems with Applications. 41 (2014) 11 - p. 5071-5081 , 2014

Link: https://doi.org/10.1016/..

10

An efficient approach for finding weighted sequential patte..:

Lan, Guo-Cheng ; Hong, Tzung-Pei ; Lee, Hong-Yu
Applied Intelligence. 41 (2014) 2 - p. 439-452 , 2014

Link: https://doi.org/10.1007/..

11

A GA-Based Approach to Hide Sensitive High Utility Itemsets:

Lin, Chun-Wei ; Hong, Tzung-Pei ; Wong, Jia-Wei..
The Scientific World Journal. 2014 (2014) - p. 1-12 , 2014

Link: https://doi.org/10.1155/..

12

An efficient projection-based indexing approach for mining ..:

Lan, Guo-Cheng ; Hong, Tzung-Pei ; Tseng, Vincent S.
Knowledge and Information Systems. 38 (2013) 1 - p. 85-107 , 2013

Link: https://doi.org/10.1007/..

13

Projection-based partial periodic pattern mining for event ..:

Yang, Kung-Jiuan ; Hong, Tzung-Pei ; Chen, Yuh-Min.
Expert Systems with Applications. 40 (2013) 10 - p. 4232-4240 , 2013

Link: https://doi.org/10.1016/..

14

Incrementally mining high utility patterns based on pre-lar..:

Lin, Chun-Wei ; Hong, Tzung-Pei ; Lan, Guo-Cheng..
Applied Intelligence. 40 (2013) 2 - p. 343-357 , 2013

Link: https://doi.org/10.1007/..

15

Mining high coherent association rules with consideration o..:

Chen, Chun-Hao ; Lan, Guo-Cheng ; Hong, Tzung-Pei.
Expert Systems with Applications. 40 (2013) 16 - p. 6531-6537 , 2013

Link: https://doi.org/10.1016/..