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ORCID18th ADMA 2022, Brisbane, QLD, Australia - Volume 1
- Weitong Chen, Lina Yao, Taotao Cai
, Shirui Pan, Tao Shen, Xue Li:
Advanced Data Mining and Applications - 18th International Conference, ADMA 2022, Brisbane, QLD, Australia, November 28-30, 2022, Proceedings, Part I. Lecture Notes in Computer Science 13725, Springer 2022, ISBN 978-3-031-22063-0
Finance and Healthcare
- Yi Shen:
Application of Supplemental Sampling and Interpretable AI in Credit Scoring for Canadian Fintechs: Methods and Case Studies. 3-14 - Rania Khaskhoussy, Yassine Ben Ayed:
A Deep Convolutional Autoencoder-Based Approach for Parkinson's Disease Diagnosis Through Speech Signals. 15-26 - Juanjuan Shu, Lizhen Wang, Peizhong Yang, Vanha Tran:
Mining the Potential Relationships Between Cancer Cases and Industrial Pollution Based on High-Influence Ordered-Pair Patterns. 27-40 - Weikang Yang, S. M. Mazharul Hoque Chowdhury, Wei Jin:
Finding Hidden Relationships Between Medical Concepts by Leveraging Metamap and Text Mining Techniques. 41-52 - Sitthichoke Subpaiboonkit, Xue Li, Xin Zhao, Guido Zuccon:
Causality Discovery Based on Combined Causes and Multiple Causes in Drug-Drug Interaction. 53-66 - Yibo Sun, Chenlei Liu, Xue Tong, Bing Hu:
An Integrated Medical Recommendation Mechanism Combining Promote Product Singular Value Decomposition and Knowledge Graph. 67-78
Web and IoT Applications
- Zeyu Li, Haoyang Ma, Yingying Lv, Hao Shen:
Joint Extraction of Entities and Relations in the News Domain. 81-92 - Yuxin Wu, Zenghui Xu, Hongzhou Li, Yuquan Gan, Josh Jia-Ching Ying, Ting Yu, Ji Zhang:
Event Detection from Web Data in Chinese Based on Bi-LSTM with Attention. 93-105 - Jaishree Ranganathan, Tsega Tsahai:
Sentiment Analysis of Tweets Using Deep Learning. 106-117 - Venkata Abhishek Kanthuru, Sutharshan Rajasegarar, Punit Rathore, Robin Ram Mohan Doss, Lei Pan, Biplob Ray, Morshed Chowdhury, Chandrasekaran Srimathi, M. A. Saleem Durai:
Cyber Attack Detection in IoT Networks with Small Samples: Implementation And Analysis. 118-130 - Liuhuo Wan, Yanjun Zhang, Ruiqing Li, Ryan K. L. Ko, Louw Hoffman, Guangdong Bai:
SATB: A Testbed of IoT-Based Smart Agriculture Network for Dataset Generation. 131-145 - Myriam Jaouadi, Lotfi Ben Romdhane:
An Overview on Reducing Social Networks' Size. 146-157 - Jianing Xia, Yifu Tang, Taige Zhao, Jianxin Li:
AuCM: Course Map Data Analytics for Australian IT Programs in Higher Education. 158-172 - Poonam Sharma, Suman Banerjee:
Profit Maximization Using Social Networks in Two-Phase Setting. 173-184
On-Device Application
- Shota Iiyama, Tetsuya Oda, Masaharu Hirota:
SESA: Fast Trajectory Compression Method Using Sub-trajectories Segmented by Stay Areas. 187-198 - Qin Zhaowei, Xie Nannan, Asiedu Collins Gyamfi:
Android Malware Detection Based on Stacking and Multi-feature Fusion. 199-215 - Dildar Ali, Suman Banerjee, Yamuna Prasad:
Influential Billboard Slot Selection Using Pruned Submodularity Graph. 216-230 - Nanxi Su, Waishan Qiu, Wenjing Li, Dan Luo:
Quantifying Association Between Street-Level Urban Features and Crime Distribution Around Manhattan Subway Entrances. 231-243 - Qiwei Song, Meikang Li, Waishan Qiu, Wenjing Li, Dan Luo:
The Coherence and Divergence Between the Objective and Subjective Measurement of Street Perceptions for Shanghai. 244-256
Other Application
- Khiem Vinh Tran, Hao Phu Phan, Nguyen Duc Khang Quach, Ngan Luu-Thuy Nguyen, Jun Jo, Thanh Tam Nguyen:
A Comparative Study of Question Answering over Knowledge Bases. 259-274 - Josh Jia-Ching Ying, Wan-Ju Yang, Ji Zhang, Yu-Ching Ni, Chia-Yu Lin, Fan-Pin Tseng, Xiaohui Tao:
A Deep Learning Framework for Removing Bias from Single-Photon Emission Computerized Tomography. 275-289 - Yankin Chi, Raymond K. Wong, John A. Shepherd:
Popularity Forecasting for Emerging Research Topics at Its Early Stage of Evolution. 290-303 - Zhuowei Wang, Guodong Long:
Positive Unlabeled Learning by Sample Selection and Prototype Refinement. 304-318 - Azhar Mohammed, Dang Nguyen, Bao Duong, Melanie Nichols, Thin Nguyen:
Handling Missing Data with Markov Boundary. 319-333
Pattern Mining
- Zihao Chen, Lei Duan, Xinye Wang:
An Efficient Method for Outlying Aspect Mining Based on Genetic Algorithm. 337-351 - Min Fu, Lei Duan, Zhenyang Yu:
Effective Mining of Contrast Hybrid Patterns from Nominal-numerical Mixed Data. 352-367 - Yali Tao, Chuanqi Tao, Hongjing Guo, Bohan Li:
TPFL: Test Input Prioritization for Deep Neural Networks Based on Fault Localization. 368-383 - Yingbi Chen, Lizhen Wang, Lihua Zhou:
Mining Maximal Sub-prevalent Co-location Patterns Based on k-hop. 384-396 - Azadeh Sadat Mozafari Mehr, Renata Medeiros de Carvalho, Boudewijn F. van Dongen:
An Association Rule Mining-Based Framework for the Discovery of Anomalous Behavioral Patterns. 397-412 - Vanha Tran, Lizhen Wang, Shiyu Zhang, Jinpeng Zhang, SonTung Pham:
Mining ε-Closed High Utility Co-location Patterns from Spatial Data. 413-428
Graph Mining
- Alex X. Wang, Stefanka S. Chukova, Binh P. Nguyen:
Implementation and Analysis of Centroid Displacement-Based k-Nearest Neighbors. 431-443 - Vatsal Patel, Sutharshan Rajasegarar, Lei Pan, Jiajun Liu, Liming Zhu:
EvAnGCN: Evolving Graph Deep Neural Network Based Anomaly Detection in Blockchain. 444-456 - Peter Belcak, Roger Wattenhofer:
Deterministic Graph-Walking Program Mining. 457-471 - Nguyen Duc Khang Quach, Chaoqun Yang, Viet Hung Vu, Thanh Tam Nguyen, Quoc Viet Hung Nguyen, Jun Jo:
A Benchmarking Evaluation of Graph Neural Networks on Traffic Speed Prediction. 472-488 - Lijuan Wu, Guixian Zhang, Zhi Lei, Zhirong Huang, Guangquan Lu:
Multi-View Gated Graph Convolutional Network for Aspect-Level Sentiment Classification. 489-504 - Joël Mathys, Robin Fritsch, Roger Wattenhofer:
Decentralized Graph Processing for Reachability Queries. 505-519 - Dawei Xu, Haoran Yang, Marian-Andrei Rizoiu, Guandong Xu:
Being Automated or Not? Risk Identification of Occupations with Graph Neural Networks. 520-534
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