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ORCID17th ADMA 2021, Sydney, NSW, Australia
- Bohan Li, Lin Yue, Jing Jiang, Weitong Chen, Xue Li, Guodong Long, Fei Fang, Han Yu
:
Advanced Data Mining and Applications - 17th International Conference, ADMA 2021, Sydney, NSW, Australia, February 2-4, 2022, Proceedings, Part II. Lecture Notes in Computer Science 13088, Springer 2022, ISBN 978-3-030-95407-9
Pattern Mining
- Siddharth Dawar, Vikram Goyal, Debajyoti Bera:
SMIM Framework to Generalize High-Utility Itemset Mining. 3-15 - Mourad Nouioua, Philippe Fournier-Viger, Wensheng Gan, Youxi Wu, Jerry Chun-Wei Lin, Farid Nouioua:
TKQ: Top-K Quantitative High Utility Itemset Mining. 16-28 - Sadeq Darrab, Priyamvada Bhardwaj, David Broneske, Gunter Saake:
OPECUR: An Enhanced Clustering-Based Model for Discovering Unexpected Rules. 29-41 - Sonia Djebali, Quentin Gabot, Guillaume Guérard:
Tourists Profiling by Interest Analysis. 42-53 - Priyanka Motwani, Christie I. Ezeife, Mahreen Nasir:
Extracting High Profit Sequential Feature Groups of Products Using High Utility Sequential Pattern Mining. 54-67 - Martin Macák, Lukas Daubner, Julia Jamnicka, Barbora Buhnova:
Game Achievement Analysis: Process Mining Approach. 68-82 - Abdulwahab Aljubairy, Ahoud Alhazmi, Wei Emma Zhang, Quan Z. Sheng, Dai Hoang Tran:
A Fast and Accurate Approach for Inferencing Social Relationships Among IoT Objects. 83-94
Graph Mining
- Yanmei Hu, Yingxi Zhang, Xiabing Wang, Jing Wu, Bin Duo:
A Local Seeding Algorithm for Community Detection in Dynamic Networks. 97-112 - Alexis Baudin, Maximilien Danisch, Sergey Kirgizov, Clémence Magnien, Marwan Ghanem:
Clique Percolation Method: Memory Efficient Almost Exact Communities. 113-127 - Yabin Gao, Xiaoyun Tian, Jing Zhou, Bin Zheng, Hairu Li, Zizhong Zhu:
Knowledge Graph Embedding Based on Quaternion Transformation and Convolutional Neural Network. 128-136 - Jiajun Wu, Bohan Li, Ye Ji, Jiaying Tian, Yuxuan Xiang:
Text-Enhanced Knowledge Graph Representation Model in Hyperbolic Space. 137-149 - Alexander Kalinin, Danila A. Vaganov, Egor Shikov:
Relations Reconstruction in a Knowledge Graph of a Socioeconomic System. 150-161 - Hong Jiang, Hao Wu, Tiexin Wang, Xinhua Yan:
A Knowledge Enabled Data Management Method Towards Intelligent Police Applications. 162-174
Text Mining
- Fatma Najar, Nizar Bouguila:
Sparse Generalized Dirichlet Prior Based Bayesian Multinomial Estimation. 177-191 - Wenhan Dong, Shi Feng, Daling Wang, Yifei Zhang:
I Know You Better: User Profile Aware Personalized Dialogue Generation. 192-205 - Sai Abhishek Sara, Maneet Singh, Bhanupriya Pegu, Karamjit Singh:
Label-Value Extraction from Documents Using Co-SSL Framework. 206-218 - Tiancheng Huang, Guangquan Lu, Zexin Li, Jiagang Song, Lijuan Wu:
Entity Relations Based Pointer-Generator Network for Abstractive Text Summarization. 219-236 - Ximin Sun, Jing Zhou, Shuai Wang, Xiaoming Li, Bin Zheng, Dan Liu:
Linguistic Dependency Guided Graph Convolutional Networks for Named Entity Recognition. 237-248
Multimedia and Time Series Data Mining
- Xuming Han, Qi Qin, Yuwei Wang, Yihang Zhang, Hanlin Li, Zihe Liu:
CS-Siam: Siamese-Type Network Tracking Method with Added Cluster Segmentation. 251-262 - Athanasios Tsitsipas, Lutz Schubert:
On Group Theory and Interpretable Time Series Primitives. 263-275 - Shifeng Yan, Peipei Chen, Shili Liang, Lei Zhang, Xiuping Li:
Target Detection in Infrared Image of Transmission Line Based on Faster-RCNN. 276-287 - Rogério Luís de Carvalho Costa, José Manuel Moreira:
Automatic Quality Improvement of Data on the Evolution of 2D Regions. 288-300 - Pragya Prakash, Jay Rawal, Snehal Gupta, Deepak P, Mukesh K. Mohania:
Cross-modal Data Linkage for Common Entity Identification. 301-313 - Zeqi Yu, Bingbing Jiang, Haokai Liu:
Modeling of the Digital Class-D Amplifier Based on Deep Double Feedback Elman Neural Network. 314-325 - Mohamed Khalil Ben Salah, Takoua Kefi-Fatteh, Adel Bouhoula:
A Novel Face Detection Framework Based on Incremental Learning and Low Variance Directions. 326-337
Classification, Clustering and Recommendation
- Sahel Azizi, Uno Fang, Sasan Adibi, Jianxin Li:
Supervised Contrastive Learning for Product Classification. 341-355 - Qimin Luo, Guangquan Lu, Guoqiu Wen, Zidong Su, Xingyi Liu, Jian Wei:
Balanced Spectral Clustering Algorithm Based on Feature Selection. 356-367 - Aleksandra Karpus, Krzysztof Goczyla:
Multi-domain and Context-Aware Recommendations Using Contextual Ontological User Profile. 368-380 - Sanjit Kumar Saha, Ingo Schmitt:
A Relevance Feedback-Based Approach for Non-TI Clustering. 381-393 - Xiang Li, Xiao Li:
Scalable Nonlinear Mappings for Classifying Large Sparse Data. 394-405 - Qinggang Wu, Zhongchi Liu:
Constrained Energy Minimization for Hyperspectral Multi-target Detection Based on Ensemble Learning. 406-416
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