Tiantian Xu

According to our database, Tiantian Xu authored at least 21 papers between 2013 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Toward Better Structure and Constraint to Mine Negative Sequential Patterns.

Xinming Gao, Yongshun Gong, Tiantian Xu, Jinhu Lü, Yuhai Zhao, Xiangjun Dong

IEEE Trans. Neural Networks Learn. Syst., February, 2023

2022

A random grouping-based self-regulating artificial bee colony algorithm for interactive feature detection.

Boxin Guan, Tiantian Xu, Yuhai Zhao, Yuan Li, Xiangjun Dong

Knowl. Based Syst., 2022

Classifying the multi-omics data of gastric cancer using a deep feature selection method.

Yanyu Hu, Long Zhao, Zhao Li, Xiangjun Dong, Tiantian Xu, Yuhai Zhao

Expert Syst. Appl., 2022

Mining Negative Sequential Rules from Negative Sequential Patterns.

Chuanhou Sun, Xiaoqi Jiang, Xiangjun Dong, Tiantian Xu, Long Zhao, Zhao Li, Yuhai Zhao

Proceedings of the Database Systems for Advanced Applications, 2022

2020

e-HUNSR: An Efficient Algorithm for Mining High Utility Negative Sequential Rules.

Mengjiao Zhang, Tiantian Xu, Zhao Li, Xiqing Han, Xiangjun Dong

Symmetry, 2020

An efficient method for pruning redundant negative and positive association rules.

Xiangjun Dong, Feng Hao, Long Zhao, Tiantian Xu

Neurocomputing, 2020

A Structure-Induced Framework for Multi-Label Feature Selection With Highly Incomplete Labels.

Tiantian Xu, Long Zhao

IEEE Access, 2020

2019

Mining Top- ${k}$ Useful Negative Sequential Patterns via Learning.

Xiangjun Dong, Ping Qiu, Jinhu Lü, Longbing Cao, Tiantian Xu

IEEE Trans. Neural Networks Learn. Syst., 2019

Campus Data Analysis Based on Positive and Negative Sequential Patterns.

Xiaoqi Jiang, Tiantian Xu, Xiangjun Dong

Int. J. Pattern Recognit. Artif. Intell., 2019

An Efficient Algorithm to Mine High Average-Utility Sequential Patterns.

Tiantian Xu

Proceedings of the Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery - Proceedings of the 15th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD 2019), Kunming, China, July 20-22, 2019, 2019

2018

Mining High Utility Sequential Patterns Using Multiple Minimum Utility.

Tiantian Xu, Jianliang Xu, Xiangjun Dong

Int. J. Pattern Recognit. Artif. Intell., 2018

Erratum: "Mining High Utility Sequential Patterns with Negative Item Values".

Tiantian Xu, Xiangjun Dong, Jianliang Xu, Xue Dong

Int. J. Pattern Recognit. Artif. Intell., 2018

Rapid and Efficient Bug Assignment Using ELM for IOT Software.

Ying Yin, Xiangjun Dong, Tiantian Xu

IEEE Access, 2018

Efficient High Utility Negative Sequential Patterns Mining in Smart Campus.

Tiantian Xu, Tongxuan Li, Xiangjun Dong

IEEE Access, 2018

Application of Negative and Positive Association Rules in Mental Health Analysis of College Students.

Feng Hao, Long Zhao, Tiantian Xu, Xiangjun Dong

Proceedings of the 14th International Conference on Natural Computation, 2018

2017

E-msNSP: Efficient Negative Sequential Patterns Mining Based on Multiple Minimum Supports.

Tiantian Xu, Xiangjun Dong, Jianliang Xu, Yongshun Gong

Int. J. Pattern Recognit. Artif. Intell., 2017

Mining High Utility Sequential Patterns with Negative Item Values.

Tiantian Xu, Xiangjun Dong, Jianliang Xu, Xue Dong

Int. J. Pattern Recognit. Artif. Intell., 2017

e-NSPFI: Efficient Mining Negative Sequential Pattern from Both Frequent and Infrequent Positive Sequential Patterns.

Yongshun Gong, Tiantian Xu, Xiangjun Dong, Guohua Lv

Int. J. Pattern Recognit. Artif. Intell., 2017

HUNSPM: An efficient algorithm for mining high utility negative sequential patterns.

Tongxuan Li, Tiantian Xu, Xiangjun Dong

Proceedings of the 13th International Conference on Natural Computation, 2017

2015

Select actionable positive or negative sequential patterns.

Xiangjun Dong, Chuanlu Liu, Tiantian Xu, Dakui Wang

J. Intell. Fuzzy Syst., 2015

2013

Mining frequent patterns with multiple minimum supports using basic Apriori.

Tiantian Xu, Xiangjun Dong

Proceedings of the Ninth International Conference on Natural Computation, 2013