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ORCID18th ADMA 2022, Brisbane, QLD, Australia - Volume 2
- 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 II. Lecture Notes in Computer Science 13726, Springer 2022, ISBN 978-3-031-22136-1
Text Mining
- Haixia Liu, Tim J. Brailsford, James Goulding, Tomás Maul, Tao Tan, Debanjan Chaudhuri:
Towards Idea Mining: Problem-Solution Phrase Extraction from Text. 3-14 - Ikram Ul Haq, Paul Black, Iqbal Gondal, Joarder Kamruzzaman, Paul A. Watters, A. S. M. Kayes:
Spam Email Categorization with NLP and Using Federated Deep Learning. 15-27 - Maximilian Hünemörder, Levin Schäfer, Nadine Sarah Schüler, Michael Eichberg, Peer Kröger:
SePass: Semantic Password Guessing Using k-nn Similarity Search in Word Embeddings. 28-42 - Xiu Tang, Yangchao Xu, Xuefeng Lu, Qiang He, Jun Fang, Junjie Chen:
DeMRC: Dynamically Enhanced Multi-hop Reading Comprehension Model for Low Data. 43-57 - Mingzhe Zhang, Lin Yue, Miao Xu:
ESTD: Empathy Style Transformer with Discriminative Mechanism. 58-72 - Yuki Ohkawa, Takafumi Nakanishi:
Detection Method of User Behavior Transition on Computer. 73-85
Image, Multimedia and Time Series Data Mining
- Yingnan Liu, Randy Clinton Paffenroth:
Ensemble Image Super-Resolution CNNs for Small Data and Diverse Compressive Models. 89-102 - Phattharaphon Romphet, Supasit Kajkamhaeng, Chantana Chantrapornchai:
Optimizing MobileNetV2 Architecture Using Split Input and Layer Replications for 3D Face Recognition Task. 103-115 - João Tomás Caldeira, Cláudia Antunes:
GANs for Automatic Generation of Data Plots. 116-125 - Zhe Wang, Yi Sun, Hong Wu, Kewen Wang:
An Explainable Approach to Semantic Link Mining in Multi-sourced Dynamic Data. 126-141 - Raogao Mei, Tiexin Wang, Shenpeng Qian, Huihui Zhang, Xinhua Yan:
Information Mining from Images of Pipeline Based on Knowledge Representation and Reasoning. 142-156 - Imen Souiden, Zaki Brahmi, Mohamed Nazih Omri:
Binary Gravitational Subspace Search for Outlier Detection in High Dimensional Data Streams. 157-169
Classification, Clustering and Recommendation
- Paul Grant, Md Zahidul Islam:
Signal Classification Using Smooth Coefficients of Multiple Wavelets to Achieve High Accuracy from Compressed Representation of Signal. 173-186 - Md. Nasim Adnan:
On Reducing the Bias of Random Forest. 187-195 - Chenlei Liu, Huanghui Yuan, Yuhua Xu, Zixuan Wang, Zhixin Sun:
A Collaborative Filtering Recommendation Method with Integrated User Profiles. 196-207 - Manoj Thulasidas:
A Quality Metric for K-Means Clustering Based on Centroid Locations. 208-222 - Flavien Deseure-Charron, Sonia Djebali, Guillaume Guérard:
Clustering Method for Touristic Photographic Spots Recommendation. 223-237 - Jie Ma, Ming Xie, Guodong Long:
Personalized Federated Learning with Robust Clustering Against Model Poisoning. 238-252 - Sebastiano Milardo, Punit Rathore, Paolo Santi, Carlo Ratti:
A Data-Driven Framework for Driving Style Classification. 253-265 - Pedro Strecht, João Mendes-Moreira, Carlos Soares:
Density Estimation in High-Dimensional Spaces: A Multivariate Histogram Approach. 266-278
Multi-objective, Optimization, Augmentation, and Database
- Anbumunee Ponniah, Swati Agarwal:
Correcting Temporal Overlaps in Process Models Discovered from OLTP Databases. 281-296 - Anbumunee Ponniah, Swati Agarwal:
WDA: A Domain-Aware Database Schema Analysis for Improving OBDA-Based Event Log Extractions. 297-309 - Adeem Ali Anwar, Irfan Younas, Guanfeng Liu, Amin Beheshti, Xuyun Zhang:
A Cricket-Based Selection Hyper-Heuristic for Many-Objective Optimization Problems. 310-324 - Rajib Das, Rahul Nath, Amit K. Shukla, Pranab K. Muhuri:
Multi-objective Optimization Based Feature Selection Using Correlation. 325-336 - Chao Kong, Dan Meng, Tao Liu, Mengfei Li, Qijie Liu, Liang Zhou, Pingfu Chao, Yi Zhang:
SAME: Sampling Attack in Multiplex Network Embedding. 337-351 - Alexander M. Moore, Randy Clinton Paffenroth, Ken T. Ngo, Joshua R. Uzarski:
Cycles Improve Conditional Generators: Synthesis and Augmentation for Data Mining. 352-364 - Ce Xu, Xiu Tang, Peng Lu:
Using the Strongest Adversarial Example to Alleviate Robust Overfitting. 365-378 - Loujain Liekah, Georgios Papadakis:
Deduplication Over Heterogeneous Attribute Types (D-HAT). 379-391
Others
- Shounak Naik, Rajaswa Patil, Swati Agarwal, Veeky Baths:
Probing Semantic Grounding in Language Models of Code with Representational Similarity Analysis. 395-406 - Naoto Iwata, Sayaka Kamei, Kazi Md. Rokibul Alam, Yasuhiko Morimoto:
Location Data Anonymization Retaining Data Mining Utilization. 407-418 - Julien Martin-Prin, Imen Ouled Dlala, Nicolas Travers, Saïd Jabbour:
A Distributed SAT-Based Framework for Closed Frequent Itemset Mining. 419-433 - Yang Wu, Yong Zhang, Ning Li:
Index Advisor via DQN with Invalid Action Mask in Tree-Structured Action Space. 434-445 - Fadoua Ouamani, Asma Ben Fredj, Mohamed Rayen Fekih, Anwar Msahli, Narjès Bellamine Ben Saoud:
A Hybrid Model for Demand Forecasting Based on the Combination of Statistical and Machine Learning Methods. 446-458 - Yawen Zhao, Lin Yue, Miao Xu:
A Boosting Algorithm for Training from Only Unlabeled Data. 459-473 - Ray Lindsay, Yanchang Zhao:
A Study of the Effectiveness of Correction Factors for Log Transforms in Ensemble Models. 474-483
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