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Guo-Cheng Lan
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2020 – today
- 2021
- [j22]Tzung-Pei Hong
, Wei-Ming Huang
A Bitmap Approach for Mining Erasable Itemsets. IEEE Access 9: 106029-106038 (2021)
2010 – 2019
- 2017
- [j21]Wei-Ming Huang, Tzung-Pei Hong
Temporal-Based Fuzzy Utility Mining. IEEE Access 5: 26639-26652 (2017) - [c23]Wei-Ming Huang, Tzung-Pei Hong
Mining Erasable Itemsets Using Bitmap Representation. ICGEC 2017: 37-43 - [c22]Tzung-Pei Hong
High Utility Partial Periodic Pattern Mining. MISNC 2017: 35:1-35:4 - [c21]Tzung-Pei Hong
Mining high utility partial periodic pattern by GPA. SMC 2017: 820-824 - 2016
- [j20]Chun-Hao Chen, Guo-Cheng Lan, Tzung-Pei Hong
Mining fuzzy temporal association rules by item lifespans. Appl. Soft Comput. 41: 265-274 (2016) - 2015
- [j19]Chun-Wei Lin
Efficient updating of discovered high-utility itemsets for transaction deletion in dynamic databases. Adv. Eng. Informatics 29(1): 16-27 (2015) - [j18]Guo-Cheng Lan, Tzung-Pei Hong
Fuzzy utility mining with upper-bound measure. Appl. Soft Comput. 30: 767-777 (2015) - [j17]Chun-Wei Lin
Mining high utility itemsets for transaction deletion in a dynamic database. Intell. Data Anal. 19(1): 43-55 (2015) - [j16]Guo-Cheng Lan, Tzung-Pei Hong
Tightening upper bounds for mining weighted frequent itemsets. Intell. Data Anal. 19(2): 413-429 (2015) - 2014
- [j15]Chun-Wei Lin
Incrementally mining high utility patterns based on pre-large concept. Appl. Intell. 40(2): 343-357 (2014) - [j14]Guo-Cheng Lan, Tzung-Pei Hong
An efficient approach for finding weighted sequential patterns from sequence databases. Appl. Intell. 41(2): 439-452 (2014) - [j13]Kung-Jiuan Yang
A two-phase approach for mining weighted partial periodic patterns. Eng. Appl. Artif. Intell. 30: 225-234 (2014) - [j12]Guo-Cheng Lan, Tzung-Pei Hong
On-shelf utility mining with negative item values. Expert Syst. Appl. 41(7): 3450-3459 (2014) - [j11]Guo-Cheng Lan
Applying the maximum utility measure in high utility sequential pattern mining. Expert Syst. Appl. 41(11): 5071-5081 (2014) - [j10]Chun-Wei Lin
Efficient updating of sequential patterns with transaction insertion. Intell. Data Anal. 18(6): 1013-1026 (2014) - [j9]Kung-Jiuan Yang, Tzung-Pei Hong
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]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]Guo-Cheng Lan, Tzung-Pei Hong
An efficient projection-based indexing approach for mining high utility itemsets. Knowl. Inf. Syst. 38(1): 85-107 (2014) - [c20]Chun-Hao Chen, Guo-Cheng Lan, Tzung-Pei Hong
A Projection-Based Approach for Mining Highly Coherent Association Rules. ECC (1) 2014: 69-78 - [c19]Guo-Cheng Lan, Tzung-Pei Hong
Multi-criteria Utility Mining Using Maximum Constraints. ICCCI 2014: 466-471 - [c18]Guo-Cheng Lan, Tzung-Pei Hong
Multi-criteria Utility Mining Using Minimum Constraints. IEA/AIE (2) 2014: 42-47 - [c17]Guo-Cheng Lan, Tzung-Pei Hong
Utility Knowledge Fusion in a Multi-site Environment. MISNC 2014: 171-178 - [c16]Guo-Cheng Lan, Tzung-Pei Hong
Fast discovery of high fuzzy utility itemsets. SMC 2014: 2764-2767 - 2013
- [j6]Kung-Jiuan Yang, Tzung-Pei Hong
Projection-based partial periodic pattern mining for event sequences. Expert Syst. Appl. 40(10): 4232-4240 (2013) - [j5]Chun-Hao Chen, Guo-Cheng Lan, Tzung-Pei Hong
Mining high coherent association rules with consideration of support measure. Expert Syst. Appl. 40(16): 6531-6537 (2013) - [c15]Guo-Cheng Lan, Tzung-Pei Hong
Mining hierarchical temporal association rules in a publication database. ICCI*CC 2013: 503-508 - [c14]Kung-Jiuan Yang, Guo-Cheng Lan, Tzung-Pei Hong
Partial periodic patterns mining with multiple minimum supports. ICICS 2013: 1-4 - [c13]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]Chun-Wei Lin
Privacy preserving high utility mining based on genetic algorithms. GrC 2013: 191-195 - [c11]Guo-Cheng Lan, Tzung-Pei Hong
Mining fuzzy frequent itemsets by projection techniques. ICMLC 2013: 1691-1694 - [c10]Guo-Cheng Lan, Tzung-Pei Hong
Enhancing the Efficiency in Mining Weighted Frequent Itemsets. SMC 2013: 1104-1108 - 2012
- [j4]Chun-Wei Lin
An incremental mining algorithm for high utility itemsets. Expert Syst. Appl. 39(8): 7173-7180 (2012) - [j3]Guo-Cheng Lan, Tzung-Pei Hong
Efficiently Mining High Average-Utility Itemsets with an Improved Upper-Bound Strategy. Int. J. Inf. Technol. Decis. Mak. 11(5): 1009- (2012) - [j2]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) - [c9]Guo-Cheng Lan, Tzung-Pei Hong
An improved approach for sequential utility pattern mining. GrC 2012: 226-230 - [c8]Chun-Hao Chen, Guo-Cheng Lan, Tzung-Pei Hong
A High Coherent Association Rule Mining Algorithm. TAAI 2012: 1-4 - [c7]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
- [j1]Guo-Cheng Lan, Tzung-Pei Hong
Discovery of high utility itemsets from on-shelf time periods of products. Expert Syst. Appl. 38(5): 5851-5857 (2011) - [c6]Guo-Cheng Lan, Chun-Hao Chen, Tzung-Pei Hong
A fuzzy approach for mining general temporal association rules in a publication database. HIS 2011: 611-615 - 2010
- [c5]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]Chun-Wei Lin
Incrementally Mining High Utility Itemsets in Dynamic Databases. GrC 2010: 303-307
2000 – 2009
- 2009
- [c3]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]Jen-Peng Huang, Guo-Cheng Lan, Huang-Cheng Kuo:
A Gradational Reduction Approach for Mining Sequential Patterns. IEA/AIE 2007: 562-571 - [c1]Jen-Peng Huang, Guo-Cheng Lan, Huang-Cheng Kuo, Tzung-Pei Hong:
A Decomposition Approach for Mining Frequent Itemsets. IIH-MSP 2007: 605-608
Coauthor Index
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