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ORCIDICDM 2022: Orlando, FL, USA - Workshops
- K. Selçuk Candan, Thang N. Dinh, My T. Thai, Takashi Washio:
IEEE International Conference on Data Mining Workshops, ICDM 2022 - Workshops, Orlando, FL, USA, November 28 - Dec. 1, 2022. IEEE 2022, ISBN 979-8-3503-4609-1 - Xingquan Zhu, Sanjay Ranka
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Message from the ICDM 2022 Program Committee Chairs. xxvii-xxviii - Avi Chawla, Nidhi Mulay, Mohsen Bahrami, Vikas Bishnoi, Yatin Katyal, Esteban Moro, Ankur Saraswat, Alex Pentland:
Post-pandemic Economic Transformations in the United States of America. 1-5 - Jianyi Zhang, Yiran Chen, Jianshu Chen:
Join-Chain Network: A Logical Reasoning View of the Multi-head Attention in Transformer. 1-11 - Negar Maleki, Balaji Padmanabhan, Kaushik Dutta:
Representing Social Networks as Dynamic Heterogeneous Graphs. 1-10 - James Lee Hu, Mohammadreza Ebrahimi, Weifeng Li, Xin Li, Hsinchun Chen:
Multi-view Representation Learning from Malware to Defend Against Adversarial Variants. 1-8 - Carina Newen, Emmanuel Müller:
Unsupervised DeepView: Global Uncertainty Visualization for High Dimensional Data. 1-8 - Yuchen Lan, Tram Truong-Huu, Jiyan Wu, Sin G. Teo:
Cascaded Multi-Class Network Intrusion Detection With Decision Tree and Self-attentive Model. 1-7 - Pei Chen, Wenlin Yao, Hongming Zhang, Xiaoman Pan, Dian Yu, Dong Yu, Jianshu Chen:
ZeroKBC: A Comprehensive Benchmark for Zero-Shot Knowledge Base Completion. 1-6 - Michiel Dhont, Elena Tsiporkova, Nicolás González-Deleito:
Mining of Spatiotemporal Trajectory Profiles Derived from Mobility Data. 1-9 - Pavel Shumkovskii, Anton Kovantsev, Elizaveta Stavinova, Petr Chunaev:
MetaSieve: Performance vs. Complexity Sieve for Time Series Forecasting. 1-10 - Minqiang Yang, Xinqi Liu, Chengsheng Mao, Bin Hu:
Graph Convolutional Networks with Dependency Parser towards Multiview Representation Learning for Sentiment Analysis. 1-8 - Erik Cambria, Rui Mao, Sooji Han, Qian Liu:
Sentic Parser: A Graph-Based Approach to Concept Extraction for Sentiment Analysis. 1-8 - Lu Jiang, Yuanhan Li, Na Luo, Jianan Wang, Qiao Ning:
A Multi-Source Information Learning Framework for Airbnb Price Prediction. 1-7 - Niklas Strauß, Max Berrendorf, Tom Haider, Matthias Schubert:
A Comparison of Ambulance Redeployment Systems on Real-World Data. 1-8 - Fahed Elourajini, Esma Aïmeur:
AWS-EP: A Multi-Task Prediction Approach for MBTI/Big5 Personality Tests. 1-8 - Ahmet Tugrul Bayrak:
An application of Customer Embedding for Clustering. 1-4 - Xiaoyuan Liu, Ilya Tyagin, Hayato Ushijima-Mwesigwa, Indradeep Ghosh, Ilya Safro:
Towards Practical Explainability with Cluster Descriptors. 1-10 - Reza Basiri, Milos R. Popovic, Shehroz S. Khan:
Domain-Specific Deep Learning Feature Extractor for Diabetic Foot Ulcer Detection. 1-5 - Francesco Piccialli, Fabio Giampaolo, Vincenzo Schiano Di Cola, Federico Gatta, Diletta Chiaro, Edoardo Prezioso, Stefano Izzo, Salvatore Cuomo:
A machine learning-based approach for mercury detection in marine waters. 1-10 - Hao Tian, Shengmin Jin, Reza Zafarani:
Exploiting Cross-Order Patterns and Link Prediction in Higher-Order Networks. 1-9 - Agrim Sachdeva, Ben Lazarine, Ruchik Dama, Sagar Samtani, Hongyi Zhu:
Identifying Patterns of Vulnerability Incidence in Foundational Machine Learning Repositories on GitHub: An Unsupervised Graph Embedding Approach. 1-8 - Vishnu Manasa Devagiri, Veselka Boeva, Shahrooz Abghari:
Domain Adaptation Through Cluster Integration and Correlation. 1-8 - Sabrina Sankar, Marvin Lewis, Patrick Hosein:
Above Ground Biomass Estimation of a Cocoa Plantation using Machine Learning. 1-8 - Hang Yin, Zitao Zhang, Zhurong Wang, Yilmazcan Özyurt, Weiming Liang, Wenyu Dong, Yang Zhao, Yinan Shan:
Behavioral graph fraud detection in E-commerce. 1-8 - Jianing Zhao, Ayana Takai, Eisuke Kita:
Weight-Training Ensemble Model for Stock Price Forecast. 1-6 - Yihan Zhou, Jiali Liu, Zekun Yang, Tianyi Liu, Xinyue Meng, Zhuocheng Zhou, Ali Anaissi, Ali Braytee:
VGG-FusionNet: A Feature Fusion Framework from CT scan and Chest X-ray Images based Deep Learning for COVID-19 Detection. 1-9 - Anton Dereventsov, Anton Bibin:
Simulated Contextual Bandits for Personalization Tasks from Recommendation Datasets. 1-6 - Jimmy Ming-Tai Wu, Shuo Liu, Jerry Chun-Wei Lin:
Large-Scale Sequential Utility Pattern Mining in Uncertain Environments. 1-7 - Laura Melgar-García, David Gutiérrez-Avilés, Cristina Rubio-Escudero, Alicia Troncoso:
Nearest neighbors with incremental learning for real-time forecasting of electricity demand. 1-8 - Johnathan Xie, Shuai Zheng:
Zero-shot Object Detection Through Vision-Language Embedding Alignment. 1-15 - Sai Charan Emmadi, Satya Samudrala, Parag Agrawal, Maitreya Natu:
Simplifying Process Navigations - Divide and Rule way. 1-7 - Li Song, Kainan Bao, Songyu Ke, Chunyang Li, Junbo Zhang, Yu Zheng:
Efficient Spatio-Temporal Randomly Wired Neural Networks for Traffic Forecasting. 1-8 - Yanan Xiao, Minyu Liu, Zichen Zhang, Lu Jiang, Minghao Yin, Jianan Wang:
Streaming Traffic Flow Prediction Based on Continuous Reinforcement Learning. 16-22 - Guojing Cong, Seung-Hwan Lim, Steven Young:
Augmenting Graph Convolution with Distance Preserving Embedding for Improved Learning. 23-30 - Reda Khoufache, Mohamed Djallel Dilmi, Hanene Azzag, Etienne Gofinnet, Mustapha Lebbah:
Emerging properties from Bayesian Non-Parametric for multiple clustering: Application for multi-view image dataset. 31-38 - Minkyung Kim, Junsik Kim, Jongmin Yu, Jun Kyun Choi:
Unsupervised Deep One-Class Classification with Adaptive Threshold based on Training Dynamics. 39-46 - Radwa El Shawi, Sherif Sakr:
cSmartML-Glassbox: Increasing Transparency and Controllability in Automated Clustering. 47-54 - Mina Rezaei, Emilio Dorigatti, David Rügamer, Bernd Bischl:
Joint Debiased Representation Learning and Imbalanced Data Clustering. 55-62 - Guixiang Wang, Hongwei Yin, Wenjun Hu, Yong Liu, Ruiqin Wang:
Joint Low-rank and Orthogonal Deep Multi-view Subspace Clustering based on Local Fusion. 63-70 - Laura Arditti, Martino Trevisan, Luca Vassio, Alberto De Lazzari, Alberto Danese:
User Value in Modern Payment Platforms: A Graph Approach. 71-78 - Amit Neil Ramkissoon, Vijayanandh Rajamanickam, Wayne Goodridge:
Scene and Texture Based Feature Set for DeepFake Video Detection. 90-97 - José Alberto Sousa Torres, Paulo Henrique dos Santos, Daniel Alves da Silva, Carlos Eduardo Lacerda Veiga, Márcio Bastos Medeiros, Guilherme Fay Verqara, Fábio Lúcio Lopes de Mendonça, Rafael Timóteo de Sousa Júnior:
Using spatial data and cluster analysis to automatically detect non-trivial relationships between environmental transgressors. 98-104 - Benoit Vuillemin, Frédéric Bertrand:
Identify malfunctions and their possible causes using rules, application to process mining. 105-112 - Fabian Fingerhut, Chaitra Harsha, Amirmohammad Eghbalian, Tom Jacobs, Mahdi Tabassian, Robbert Verbeke, Elena Tsiporkova:
Data-Driven Usage Profiling and Anomaly Detection in Support of Sustainable Machining Processes. 127-136 - Furkan Gursoy, Ioannis A. Kakadiaris:
Equal Confusion Fairness: Measuring Group-Based Disparities in Automated Decision Systems. 137-146 - Shi Jer Low, Venugopalan S. G. Raghavan, Harish Gopalan, Jian Cheng Wong, Justin K. W. Yeoh, Chin Chun Ooi:
FastFlow: AI for Fast Urban Wind Velocity Prediction. 147-154 - Seiji Okura, Takao Mohri:
Empirical analysis of fairness-aware data segmentation. 155-162 - Peyman Rasouli, Ingrid Chieh Yu, Ernesto Jiménez-Ruiz:
Interpreting Categorical Data Classifiers using Explanation-based Locality. 163-170 - Kriti Kumar, Angshul Majumdar, M. Girish Chandra:
DeepDive: Deep Latent Factor Model for Enhancing Diversity in Recommender Systems. 171-179 - Felix Lanfermann, Sebastian Schmitt, Patricia Wollstadt:
Understanding Concept Identification as Consistent Data Clustering Across Multiple Feature Spaces. 180-189 - Angela Li, Jiduan Liu, Yuyong Li, Fan Meng:
FLAG: Stock Movement Prediction via Fusing Logic and Semantic Graphs of Financial News. 190-197 - Yuxuan Li, Chaoyue Zhao, Chenang Liu:
Solving Non-linear Optimization Problem in Engineering by Model-Informed Generative Adversarial Network (MI-GAN). 198-205 - Rodrigo Fay Verqara, Paulo Henrique dos Santos, Guilherme Fay Verqara, Fábio Lúcio Lopes de Mendonça, Carlos Eduardo Lacerda Veiga, Bruno Justino Garcia Praciano, Daniel Alves da Silva, Rafael Timóteo de Sousa Júnior:
A study of automatic speech recognition in Portuguese by the Brazilian General Attorney of the Union. 226-231 - Derek Xu, William Shiao, Jia Chen, Evangelos E. Papalexakis:
SV-Learn: Learning Matrix Singular Values with Neural Networks. 232-237 - Ali Abedi, Faranak Dayyani, Charlene H. Chu, Shehroz S. Khan:
MAISON - Multimodal AI-based Sensor platform for Older Individuals. 238-242 - Mahmoud Seifallahi, James E. Galvin, Behnaz Ghoraani:
Detection of Mild Cognitive Impairment from Quantitative Analysis of Timed Up and Go (TUG). 248-253 - Elizabeth D. Hathaway, Richard J. Hathaway:
Diagonally Colorized iVAT Images for Labeled Data. 254-263 - André Picado, Anna Carolina Finamore, Ana Moura Santos, Cláudia Antunes:
Students Temporal Profiling and e-Learning Resources Recommendation Based on NLP's Terms Extraction. 264-273 - Toru Sasaki, Tomonari Masada:
Sentence-BERT Distinguishes Good and Bad Essays in Cross-prompt Automated Essay Scoring. 274-281 - Shanghui Yang, Xin Liu, Hang Su, Mengxia Zhu, Xuesong Lu:
Deep Knowledge Tracing with Learning Curves. 282-291 - Wenxin Zhang, Yupei Zhang, Shuhui Liu, Xuequn Shang:
Online Deep Knowledge Tracing. 292-297 - Renyu Zhu, Dongxiang Zhang, Chengcheng Han, Ming Gao, Xuesong Lu, Weining Qian, Aoying Zhou:
Programming Knowledge Tracing: A Comprehensive Dataset and A New Model. 298-307 - Georgios Mavroudeas, Malik Magdon-Ismail, Xiao Shou, Kristin P. Bennett:
HMM-Boost: Improved Time Series State Prediction Via Supervised Hidden Markov Models: Case Studies in Epileptic Seizure and Complex Care Management. 316-323 - Paul Youssef, Jörg Schlötterer, Sultan Imangaliyev, Christin Seifert:
Model Personalization with Static and Dynamic Patients' Data. 324-333 - Honggang Zhao, Wenlu Wang:
Adversarial Removal of Population Bias in Genomics Phenotype Prediction. 334-340 - Huanyi Zhou, Honggang Zhao, Wenlu Wang:
U-Net Transfer Learning for Image Restoration on Sparse CT Reconstruction in Pre-Clinical Research. 341-348 - Arwa Al Saqaabi, Eleni C. Akrida, Alexandra I. Cristea, Craig D. Stewart:
A Paraphrase Identification Approach in Paragraph Length Texts. 358-367 - Yang Syu, Chien-Min Wang:
Using Genetic Programming to Identify Probability Distribution behind Data: A Preliminary Trial. 368-377 - Qurrat Ul Ain, Bing Xue, Harith Al-Sahaf, Mengjie Zhang:
A Genetic Programming Approach to Automatically Construct Informative Attributes for Mammographic Density Classification. 378-387 - Eric Yao, Christopher A. Kendziora, Robert Furstenberg, Christopher J. Breshike, Drew M. Finton, Drew C. Kendziora:
Deep Neural Networks and Data Accentuation for Standoff Detection of Dangerous Chemicals. 388-394 - Joanna Baran, Jan Kocon:
Linguistic Knowledge Application to Neuro-Symbolic Transformers in Sentiment Analysis. 395-402 - Anand Choudhary, Erik Cambria:
Making Sense of Sentiments for Aesthetic Plastic Surgery. 411-418 - Wojciech Korczynski, Jan Kocon:
Compression Methods for Transformers in Multidomain Sentiment Analysis. 419-426 - Ashok Kumar J, Tina Esther Trueman, Erik Cambria:
Stress Identification in Online Social Networks. 427-434 - Asif Ahmed Neloy, Maxime Turgeon:
Feature Extraction and Prediction of Combined Text and Survey Data using Two-Staged Modeling. 435-442 - Joanna Szolomicka, Jan Kocon:
MultiAspectEmo: Multilingual and Language-Agnostic Aspect-Based Sentiment Analysis. 443-450 - Penghao Jiang, Ke Xin, Chunxi Li:
Deep Transfer Tensor Factorization for Multi-View Learning. 459-466 - Guanzhou Ke, Yongqi Zhu, Yang Yu:
MORI-RAN: Multi-view Robust Representation Learning via Hybrid Contrastive Fusion. 467-474 - Junhyung Kim, Yeonghwan Jeon:
Personalized User Recommendation based on Various User Behavior in Local Domain. 475-481 - Naji Alhusaini, Jing Li, Philippe Fournier-Viger, Ammar Hawbani, Guilin Chen:
Mining High Utility Itemset with Multiple Minimum Utility Thresholds Based on Utility Deviation. 490-496 - Diletta Chiaro, Edoardo Prezioso, Stefano Izzo, Fabio Giampaolo, Salvatore Cuomo, Francesco Piccialli:
Cut the peaches: image segmentation for utility pattern mining in food processing. 497-506 - Sacha Lévy, Farimah Poursafaei, Kellin Pelrine, Reihaneh Rabbany:
Active Keyword Selection to Track Evolving Topics on Twitter. 507-516 - Vincent Mwintieru Nofong, Priscilla Owiredu Okai, Hamidu Abdel-Fatao, Selasi Kwashie, Michael Bewong, John Wondoh:
Towards Efficient Discovery of Target High Utility Itemsets. 517-526 - Yanlin Qi, Fuyin Lai, Guoting Chen, Wensheng Gan:
Mining Valuable Fuzzy Patterns via the RFM Model. 537-546 - Jimmy Ming-Tai Wu, Ranran Li, Jerry Chun-Wei Lin:
Skyline Pattern Mining by Quantity-Utility Constraints in Large-Scale Databases. 547-552 - Rouzbeh Behnia, MohammadReza Ebrahimi, Jason Pacheco, Balaji Padmanabhan:
EW-Tune: A Framework for Privately Fine-Tuning Large Language Models with Differential Privacy. 560-566 - MohammadReza Ebrahimi, Weifeng Li, Yidong Chai, Jason Pacheco, Hsinchun Chen:
An Adversarial Reinforcement Learning Framework for Robust Machine Learning-based Malware Detection. 567-576 - John T. Holodnak, Olivia M. Brown, Jason Matterer, Andrew Lemke:
Backdoor Poisoning of Encrypted Traffic Classifiers. 577-585 - Mengmeng Ge, Xiangzhan Yu, Vinay Mysore Sachidananda, Shangqing Liu, Likun Liu:
ENiD: An Encrypted Web Pages Traffic Identification Based on Web Visiting Behavior. 593-601 - Nitin Ramrakhiyani, Sangameshwar Patil, Manideep Jella, Alok Kumar, Girish K. Palshikar:
Extracting Entities and Events from Cyber-Physical Security Incident Reports. 602-609 - Sajib K. Biswas, Pranab K. Muhuri, Uttam K. Roy:
AARS: A novel adaptive archive-based efficient counting method for machine learning applications. 618-625 - Rohit P. Singh, Philip A. Wilsey:
Polytopal Complex Construction and Use in Persistent Homology. 634-641 - Michael Yeh, Ming Gu:
An Efficient and Reliable Tolerance- Based Algorithm for Principal Component Analysis. 642-649 - Peng Zhou, Yunyun Zhang, Yuanting Yan, Shu Zhao:
Unknown Type Streaming Feature Selection via Maximal Information Coefficient. 650-657 - Guojing Cong, Talia Ben-Naim, Victor Fung, Anshul Gupta, Rodrigo Neumann, Mathias Steiner:
Extensive Attention Mechanisms in Graph Neural Networks for Materials Discovery. 658-665 - Yufei He, Yao Ma:
SGKD: A Scalable and Effective Knowledge Distillation Framework for Graph Representation Learning. 666-673 - Tanvir Hossain, Esra Akbas, Muhammad Ifte Khairul Islam:
EnD: Enhanced Dedensification for Graph Compressing and Embedding. 674-681 - Yu Jin, Joseph F. JáJá:
Improving Graph Neural Network with Learnable Permutation Pooling. 682-689 - Eitan Kosman, Joel Oren, Dotan Di Castro:
LSP: Acceleration of Graph Neural Networks via Locality Sensitive Pruning of Graphs. 690-697 - Udesh Kumarasinghe, Mohamed Nabeel, Kasun De Zoysa, Kasun Gunawardana, Charitha Elvitigala:
HeteroGuard: Defending Heterogeneous Graph Neural Networks against Adversarial Attacks. 698-705 - Prabin B. Lamichhane, William Eberle:
Self-Organizing Map-Based Graph Clustering and Visualization on Streaming Graphs. 706-713 - Caihong Mu, Heyuan Huang, Yi Liu, Jiashen Luo:
Graph Convolutional Neural Network based on the Combination of Multiple Heterogeneous Graphs. 724-731 - Ciyuan Peng, Feng Xia, Vidya Saikrishna, Huan Liu:
Physics-Informed Graph Learning. 732-739 - Andreas Roth, Thomas Liebig:
Forecasting Unobserved Node States with spatio-temporal Graph Neural Networks. 740-747 - Jiaqi Sun, Lin Zhang, Shenglin Zhao, Yujiu Yang:
Improving Your Graph Neural Networks: A High-Frequency Booster. 748-756 - Yu Wang, Tyler Derr:
Degree-Related Bias in Link Prediction. 757-758 - Zhilong Xiong, Jia Cai:
Deep Heterogeneous Graph Neural Networks via Similarity Regularization Loss and Hierarchical Fusion. 759-768 - MohammadHossein Bateni, Morteza Monemizadeh, Kees Voorintholt:
Efficient Distributed Algorithms for Minimum Spanning Tree in Dense Graphs. 777-786 - Joseph Gallego-Mejia, Oscar Bustos-Brinez, Fabio A. González:
InQMAD: Incremental Quantum Measurement Anomaly Detection. 787-796 - Jun Huang, Yu Yan, Xiao Zheng, Xiwen Qu, Xudong Hong:
Discovering Unknown Labels for Multi-Label Image Classification. 797-806 - Daniil Kaminskyi, Bin Li, Emmanuel Müller:
Reconstruction-based unsupervised drift detection over multivariate streaming data. 807-813 - Baptiste Lafabregue, Pierre Gançarski, Jonathan Weber, Germain Forestier:
Incremental constrained clustering with application to remote sensing images time series. 814-823 - Marion Mainsant, Martial Mermillod, Christelle Godin, Marina Reyboz:
A study of the Dream Net model robustness across continual learning scenarios. 824-833 - Anne Marthe Sophie Ngo Bibinbe, Abdoul Jalil Djiberou Mahamadou, Michael Franklin Mbouopda, Engelbert Mephu Nguifo:
DragStream: An Anomaly And Concept Drift Detector In Univariate Data Streams. 842-851 - Karan Praharaj, Irina Matveeva:
On Robust Incremental Learning over Many Multilingual Steps. 852-859 - Zhangyue Shi, Yuxuan Li, Chenang Liu:
Knowledge Distillation-enabled Multi-stage Incremental Learning for Online Process Monitoring in Advanced Manufacturing. 860-867 - Mustafa Shuqair, Joohi Jimenez-Shahed,