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ORCIDTiantian Xu 0002
Person information
- affiliation: Qilu University of Technology, School of Information, Jinan, China
- affiliation: Shandong Academy of Sciences, China
- affiliation (PhD 2018): Ocean University, Department of Software Engineering, China
Other persons with the same name
- Tiantian Xu — disambiguation page
- Tiantian Xu 0001
![[0000-0001-8974-4572]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0001-8974-4572")
— Chinese Academy of Sciences, Guangdong Provincial Key Laboratory of Robotics and Intelligent System, Shenzhen, China (and 2 more) - Tiantian Xu 0003 — Dalian University of Technology, School of Software, China (and 1 more)
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2020 – today
- 2024
[j17]Tiantian Xu, Yuanyuan Xu, Shiyu Yang, Binghao Li, Wenjie Zhang:
Learning Accurate Label-Specific Features From Partially Multilabeled Data. IEEE Trans. Neural Networks Learn. Syst. 35(8): 10436-10450 (2024)- 2023
- [j16]Xinming Gao, Yongshun Gong, Tiantian Xu, Jinhu Lü, Yuhai Zhao, Xiangjun Dong:
Toward Better Structure and Constraint to Mine Negative Sequential Patterns. IEEE Trans. Neural Networks Learn. Syst. 34(2): 571-585 (2023) - 2022
- [j15]Yanyu Hu, Long Zhao, Zhao Li, Xiangjun Dong, Tiantian Xu, Yuhai Zhao:
Classifying the multi-omics data of gastric cancer using a deep feature selection method. Expert Syst. Appl. 200: 116813 (2022) - [j14]Boxin Guan, Tiantian Xu, Yuhai Zhao, Yuan Li, Xiangjun Dong:
A random grouping-based self-regulating artificial bee colony algorithm for interactive feature detection. Knowl. Based Syst. 243: 108434 (2022) - [c5]Chuanhou Sun, Xiaoqi Jiang, Xiangjun Dong, Tiantian Xu, Long Zhao, Zhao Li, Yuhai Zhao:
Mining Negative Sequential Rules from Negative Sequential Patterns. DASFAA (1) 2022: 459-475 - 2020
- [j13]Tiantian Xu, Long Zhao:
A Structure-Induced Framework for Multi-Label Feature Selection With Highly Incomplete Labels. IEEE Access 8: 71219-71230 (2020) - [j12]Xiangjun Dong, Feng Hao, Long Zhao, Tiantian Xu:
An efficient method for pruning redundant negative and positive association rules. Neurocomputing 393: 245-258 (2020) - [j11]Mengjiao Zhang, Tiantian Xu, Zhao Li, Xiqing Han, Xiangjun Dong:
e-HUNSR: An Efficient Algorithm for Mining High Utility Negative Sequential Rules. Symmetry 12(8): 1211 (2020)
2010 – 2019
- 2019
- [j10]Xiaoqi Jiang, Tiantian Xu, Xiangjun Dong:
Campus Data Analysis Based on Positive and Negative Sequential Patterns. Int. J. Pattern Recognit. Artif. Intell. 33(5): 1959016:1-1959016:16 (2019) - [j9]Xiangjun Dong, Ping Qiu, Jinhu Lü, Longbing Cao, Tiantian Xu:
Mining Top- ${k}$ Useful Negative Sequential Patterns via Learning. IEEE Trans. Neural Networks Learn. Syst. 30(9): 2764-2778 (2019) - [c4]Tiantian Xu:
An Efficient Algorithm to Mine High Average-Utility Sequential Patterns. ICNC-FSKD 2019: 14-22 - 2018
- [j8]Tiantian Xu, Tongxuan Li, Xiangjun Dong:
Efficient High Utility Negative Sequential Patterns Mining in Smart Campus. IEEE Access 6: 23839-23847 (2018) - [j7]Ying Yin, Xiangjun Dong, Tiantian Xu:
Rapid and Efficient Bug Assignment Using ELM for IOT Software. IEEE Access 6: 52713-52724 (2018) - [j6]Tiantian Xu, Xiangjun Dong, Jianliang Xu, Xue Dong:
Erratum: "Mining High Utility Sequential Patterns with Negative Item Values". Int. J. Pattern Recognit. Artif. Intell. 32(6): 1892001:1-1892001:1 (2018) - [j5]Tiantian Xu, Jianliang Xu, Xiangjun Dong:
Mining High Utility Sequential Patterns Using Multiple Minimum Utility. Int. J. Pattern Recognit. Artif. Intell. 32(10): 1859017:1-1859017:18 (2018) - [c3]Feng Hao, Long Zhao, Tiantian Xu, Xiangjun Dong:
Application of Negative and Positive Association Rules in Mental Health Analysis of College Students. ICNC-FSKD 2018: 717-723 - 2017
- [j4]Yongshun Gong, Tiantian Xu, Xiangjun Dong, Guohua Lv:
e-NSPFI: Efficient Mining Negative Sequential Pattern from Both Frequent and Infrequent Positive Sequential Patterns. Int. J. Pattern Recognit. Artif. Intell. 31(2): 1750002:1-1750002:20 (2017) - [j3]Tiantian Xu, Xiangjun Dong, Jianliang Xu, Yongshun Gong:
E-msNSP: Efficient Negative Sequential Patterns Mining Based on Multiple Minimum Supports. Int. J. Pattern Recognit. Artif. Intell. 31(2): 1750003:1-1750003:17 (2017) - [j2]Tiantian Xu, Xiangjun Dong, Jianliang Xu, Xue Dong:
Mining High Utility Sequential Patterns with Negative Item Values. Int. J. Pattern Recognit. Artif. Intell. 31(10): 1750035:1-1750035:17 (2017) - [c2]Tongxuan Li, Tiantian Xu, Xiangjun Dong:
HUNSPM: An efficient algorithm for mining high utility negative sequential patterns. ICNC-FSKD 2017: 1833-1837 - 2015
- [j1]Xiangjun Dong, Chuanlu Liu, Tiantian Xu, Dakui Wang:
Select actionable positive or negative sequential patterns. J. Intell. Fuzzy Syst. 29(6): 2759-2767 (2015) - 2013
- [c1]Tiantian Xu, Xiangjun Dong:
Mining frequent patterns with multiple minimum supports using basic Apriori. ICNC 2013: 957-961
Coauthor Index
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