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2021
[j22]
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Tzung-Pei Hong, Wei-Ming Huang, Guo-Cheng Lan, Ming-Chao Chiang, Jerry Chun-Wei Lin:
A Bitmap Approach for Mining Erasable Itemsets. IEEE Access 9: 106029-106038 (2021)
2017
[j21]
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Wei-Ming Huang, Tzung-Pei Hong, Guo-Cheng Lan, Ming-Chao Chiang, Jerry Chun-Wei Lin:
Temporal-Based Fuzzy Utility Mining. IEEE Access 5: 26639-26652 (2017)
2016
[j20]
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Chun-Hao Chen, Guo-Cheng Lan, Tzung-Pei Hong, Shih-Bin Lin:
Mining fuzzy temporal association rules by item lifespans. Appl. Soft Comput. 41: 265-274 (2016)
2015
[j19]
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Chun-Wei Lin, Tzung-Pei Hong, Guo-Cheng Lan, Jia-Wei Wong, Wen-Yang Lin:
Efficient updating of discovered high-utility itemsets for transaction deletion in dynamic databases. Adv. Eng. Informatics 29(1): 16-27 (2015)
[j18]
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Guo-Cheng Lan, Tzung-Pei Hong, Yi-Hsin Lin, Shyue-Liang Wang:
Fuzzy utility mining with upper-bound measure. Appl. Soft Comput. 30: 767-777 (2015)
[j17]
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Chun-Wei Lin, Guo-Cheng Lan, Tzung-Pei Hong:
Mining high utility itemsets for transaction deletion in a dynamic database. Intell. Data Anal. 19(1): 43-55 (2015)
[j16]
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Guo-Cheng Lan, Tzung-Pei Hong, Hong-Yu Lee, Chun-Wei Lin:
Tightening upper bounds for mining weighted frequent itemsets. Intell. Data Anal. 19(2): 413-429 (2015)
2014
[j15]
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Chun-Wei Lin, Tzung-Pei Hong, Guo-Cheng Lan, Jia-Wei Wong, Wen-Yang Lin:
Incrementally mining high utility patterns based on pre-large concept. Appl. Intell. 40(2): 343-357 (2014)
[j14]
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Guo-Cheng Lan, Tzung-Pei Hong, Hong-Yu Lee:
An efficient approach for finding weighted sequential patterns from sequence databases. Appl. Intell. 41(2): 439-452 (2014)
[j13]
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Kung-Jiuan Yang, Tzung-Pei Hong, Guo-Cheng Lan, Yuh-Min Chen:
A two-phase approach for mining weighted partial periodic patterns. Eng. Appl. Artif. Intell. 30: 225-234 (2014)
[j12]
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Guo-Cheng Lan, Tzung-Pei Hong, Jen-Peng Huang, Vincent S. Tseng:
On-shelf utility mining with negative item values. Expert Syst. Appl. 41(7): 3450-3459 (2014)
[j11]
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Guo-Cheng Lan, Tzung-Pei Hong, Vincent S. Tseng, Shyue-Liang Wang:
Applying the maximum utility measure in high utility sequential pattern mining. Expert Syst. Appl. 41(11): 5071-5081 (2014)
[j10]
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Chun-Wei Lin, Tzung-Pei Hong, Wen-Yang Lin, Guo-Cheng Lan:
Efficient updating of sequential patterns with transaction insertion. Intell. Data Anal. 18(6): 1013-1026 (2014)
[j9]
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Kung-Jiuan Yang, Tzung-Pei Hong, Guo-Cheng Lan, Yuh-Min Chen:
Efficient Mining of Partial Periodic Patterns with Individual Event Support Thresholds Using Minimum Constraints. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 22(6): 793-814 (2014)
[j8]
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Kung-Jiuan Yang, Tzung-Pei Hong, Yuh-Min Chen, Guo-Cheng Lan:
An Efficient Pruning and Filtering Strategy to Mine Partial Periodic Patterns from a Sequence of Event Sets. Int. J. Data Warehous. Min. 10(2): 18-38 (2014)
[j7]
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Guo-Cheng Lan, Tzung-Pei Hong, Vincent S. Tseng:
An efficient projection-based indexing approach for mining high utility itemsets. Knowl. Inf. Syst. 38(1): 85-107 (2014)
2013
[j6]
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Kung-Jiuan Yang, Tzung-Pei Hong, Yuh-Min Chen, Guo-Cheng Lan:
Projection-based partial periodic pattern mining for event sequences. Expert Syst. Appl. 40(10): 4232-4240 (2013)
[j5]
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Chun-Hao Chen, Guo-Cheng Lan, Tzung-Pei Hong, Yui-Kai Lin:
Mining high coherent association rules with consideration of support measure. Expert Syst. Appl. 40(16): 6531-6537 (2013)
2012
[j4]
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Chun-Wei Lin, Guo-Cheng Lan, Tzung-Pei Hong:
An incremental mining algorithm for high utility itemsets. Expert Syst. Appl. 39(8): 7173-7180 (2012)
[j3]
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Guo-Cheng Lan, Tzung-Pei Hong, Vincent S. Tseng:
Efficiently Mining High Average-Utility Itemsets with an Improved Upper-Bound Strategy. Int. J. Inf. Technol. Decis. Mak. 11(5): 1009- (2012)
[j2]
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Guo-Cheng Lan, Tzung-Pei Hong, Vincent S. Tseng:
A Projection-Based Approach for Discovering High Average-Utility Itemsets. J. Inf. Sci. Eng. 28(1): 193-209 (2012)
2011
[j1]
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Guo-Cheng Lan, Tzung-Pei Hong, Vincent S. Tseng:
Discovery of high utility itemsets from on-shelf time periods of products. Expert Syst. Appl. 38(5): 5851-5857 (2011)

Conference and Workshop Papers

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2017
[c23]
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Wei-Ming Huang, Tzung-Pei Hong, Guo-Cheng Lan, Ming-Chao Chiang, Jerry Chun-Wei Lin:
Mining Erasable Itemsets Using Bitmap Representation. ICGEC 2017: 37-43
[c22]
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  - conf/misnc/HongHLYWL17
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Tzung-Pei Hong, Jen-Hao Hsu, Guo-Cheng Lan, Kung-Jiuan Yang, Shyue-Liang Wang, Jerry Chun-Wei Lin:
High Utility Partial Periodic Pattern Mining. MISNC 2017: 35:1-35:4
[c21]
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Tzung-Pei Hong, Jen-Hao Hsu, Kung-Jiuan Yang, Guo-Cheng Lan, Jerry Chun-Wei Lin, Shyue-Liang Wang:
Mining high utility partial periodic pattern by GPA. SMC 2017: 820-824
2014
[c20]
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Chun-Hao Chen, Guo-Cheng Lan, Tzung-Pei Hong, Shyue-Liang Wang, Yui-Kai Lin:
A Projection-Based Approach for Mining Highly Coherent Association Rules. ECC (1) 2014: 69-78
[c19]
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Guo-Cheng Lan, Tzung-Pei Hong, Yu-Te Chao:
Multi-criteria Utility Mining Using Maximum Constraints. ICCCI 2014: 466-471
[c18]
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Guo-Cheng Lan, Tzung-Pei Hong, Yu-Te Chao:
Multi-criteria Utility Mining Using Minimum Constraints. IEA/AIE (2) 2014: 42-47
[c17]
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Guo-Cheng Lan, Tzung-Pei Hong, Yu-Chieh Tseng, Shyue-Liang Wang:
Utility Knowledge Fusion in a Multi-site Environment. MISNC 2014: 171-178
[c16]
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Guo-Cheng Lan, Tzung-Pei Hong, Yi-Hsin Lin, Shyue-Liang Wang:
Fast discovery of high fuzzy utility itemsets. SMC 2014: 2764-2767
2013
[c15]
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  - conf/IEEEicci/LanHWT13
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Guo-Cheng Lan, Tzung-Pei Hong, Pei-Shan Wu, Shusaku Tsumoto:
Mining hierarchical temporal association rules in a publication database. ICCI*CC 2013: 503-508
[c14]
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Kung-Jiuan Yang, Guo-Cheng Lan, Tzung-Pei Hong, Yuh-Min Chen:
Partial periodic patterns mining with multiple minimum supports. ICICS 2013: 1-4
[c13]
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Chun-Wei Lin, Guo-Cheng Lan, Tzung-Pei Hong, Lingping Kong:
Mining High Utility Itemsets Based on Transaction Deletion. EMC/HumanCom 2013: 983-990
[c12]
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Chun-Wei Lin, Tzung-Pei Hong, Jia-Wei Wong, Guo-Cheng Lan:
Privacy preserving high utility mining based on genetic algorithms. GrC 2013: 191-195
[c11]
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Guo-Cheng Lan, Tzung-Pei Hong, Yi-Hsin Lin, Chun-Wei Tsai:
Mining fuzzy frequent itemsets by projection techniques. ICMLC 2013: 1691-1694
[c10]
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Guo-Cheng Lan, Tzung-Pei Hong, Hong-Yu Lee, Shyue-Liang Wang, Chun-Wei Tsai:
Enhancing the Efficiency in Mining Weighted Frequent Itemsets. SMC 2013: 1104-1108
2012
[c9]
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Guo-Cheng Lan, Tzung-Pei Hong, Vincent S. Tseng, Shyue-Liang Wang:
An improved approach for sequential utility pattern mining. GrC 2012: 226-230
[c8]
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Chun-Hao Chen, Guo-Cheng Lan, Tzung-Pei Hong, Yui-Kai Lin:
A High Coherent Association Rule Mining Algorithm. TAAI 2012: 1-4
[c7]
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  - conf/taai/LanLLTWCDWCC12
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Guo-Cheng Lan, Chao-Hui Lee, Yu-Yen Lee, Vincent S. Tseng, Jin-Shang Wu, Chu-Yu Chin, Miin-Luen Day, Shyh-Chyi Wang, Ching-Nain Chang, Shyr-Yuan Cheng:
Disease Risk Prediction by Mining Personalized Health Trend Patterns: A Case Study on Diabetes. TAAI 2012: 27-32
2011
[c6]
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  - conf/his/LanCHL11
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Guo-Cheng Lan, Chun-Hao Chen, Tzung-Pei Hong, Shih-Bin Lin:
A fuzzy approach for mining general temporal association rules in a publication database. HIS 2011: 611-615
2010
[c5]
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  - conf/aciids/LanHT10
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Guo-Cheng Lan, Tzung-Pei Hong, Vincent S. Tseng:
A Three-Scan Algorithm to Mine High On-Shelf Utility Itemsets. ACIIDS (2) 2010: 351-358
[c4]
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Chun-Wei Lin, Tzung-Pei Hong, Guo-Cheng Lan, Hsin-Yi Chen, Hung-Yu Kao:
Incrementally Mining High Utility Itemsets in Dynamic Databases. GrC 2010: 303-307
2009
[c3]
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Guo-Cheng Lan, Chao-Hui Lee, Jin-Shang Wu, Huan-Chung Li, Shing-Hua Ho, Vincent S. Tseng:
A Framework for Personalized Health Trend Analysis. ISPAN 2009: 405-409
2007
[c2]
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  - conf/ieaaie/HuangLK07
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Jen-Peng Huang, Guo-Cheng Lan, Huang-Cheng Kuo:
A Gradational Reduction Approach for Mining Sequential Patterns. IEA/AIE 2007: 562-571
[c1]
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Jen-Peng Huang, Guo-Cheng Lan, Huang-Cheng Kuo, Tzung-Pei Hong:
A Decomposition Approach for Mining Frequent Itemsets. IIH-MSP 2007: 605-608

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