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ICDM 2024

A*

IEEE International Conference on Data Mining

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238
accepted papers
232
authors
December 9-12, 2024
dates
UAE
location

238 / 238 papers

  1. 1
    A Bayesian Hierarchical Model for Orthogonal Tucker Decomposition with Oblivious Tensor Compression
    Matthew Pietrosanu
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  2. 2
    A Comparative Analysis of User-Generated Content Across Gaming Platforms Using Deep Learning-Based Topic Modeling
    Robert B. Gommerman
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  3. 3
    A Data-Driven Approach for Ancillary Bundle Recommendation to Segmented Users
    Aakash Swami
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  4. 4
    A Deep Learning Based Cloud Imputation Framework
    Harshitaa Yarramsetti
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  5. 5
    A Learned Approach to Index Algorithm Selection
    Chaohong Ma
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  6. 6
    A Momentum Contrastive Learning Framework for Query-POI Matching
    Yuting Qiang
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  7. 7
    A New Approach Towards Identification of Individuals Belonging to Different Subpopulations Using Machine Learning Models and CLC Data
    Malgorzata Charytanowicz
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  8. 8
    A New Index for Computer Science Conferences and Its Applications: The S-Index
    Sharareh Alipour
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  9. 9
    A Novel Shadow Variable Catcher for Addressing Selection Bias in Recommendation Systems
    Qingfeng Chen
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  10. 10
    A Parameter Update Balancing Algorithm for Multi-task Ranking Models in Recommendation Systems
    Jun Yuan
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  11. 11
    A Silent Voice: A Bilingual Longitudinal Analysis of Mahsa Amini's Movement Tweet
    Sadegh Jafari
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  12. 12
    Accessible Health Screening Using Body Fat Estimation by Image Segmentation
    Zhipeng Yin
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  13. 13
    Accurate and Fast Estimation of Temporal Motifs Using Path Sampling
    Yunjie Pan
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  14. 14
    Adaptable and Reliable Text Classification using Large Language Models
    Zhiqiang Wang
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  15. 15
    Adaptive Graph Neural Networks for Cold-Start Multimedia Recommendation
    Zhen Li
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  16. 16
    Adaptive Loss-aware Modulation for Multimedia Retrieval
    Jian Zhu
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  17. 17
    Adaptive Process-Guided Learning: An Application in Predicting Lake DO Concentrations
    Runlong Yu
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  18. 18
    Addressing Delayed Feedback in Conversion Rate Prediction: A Domain Adaptation Approach
    Leisheng Yu
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  19. 19
    ADOD: Adaptive Density Outlier Detection
    Li Qian
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  20. 20
    Align Along Time and Space: A Graph Latent Diffusion Model for Traffic Dynamics Prediction
    Yuhang Liu
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  21. 21
    Amatriciana: Exploiting Temporal GNNs for Robust and Efficient Money Laundering Detection
    Marco Di Gennaro
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  22. 22
    An Adaptive Method Stabilizing Activations for Enhanced Generalization
    Hyunseok Seung
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  23. 23
    An Efficient Graph Autoencoder with Lightweight Desmoothing Decoder and Long-Range Modeling
    Jinyong Wen
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  24. 24
    An Explainable Recommender System by Integrating Graph Neural Networks and User Reviews
    Sahar Batmani
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  25. 25
    Anomaly Detection and Interpretation from Tabular Data Using Transformer Architecture
    Hajar Homayouni
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  26. 26
    Anomaly Detection in Financial Data Using GA-Optimized MLP Models
    Ivan P. Malashin
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  27. 27
    AnomalyLLM: Few-Shot Anomaly Edge Detection for Dynamic Graphs Using Large Language Models
    Shuo Liu
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  28. 28
    APOLLO: Differential Private Online Multi-Sensor Data Prediction with Certified Performance
    Honghui Xu
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  29. 29
    Automated Detection and Quantitative Assessment of Extranodal Extension in Lymph Node Breast Tumors Using Dual-Tier Deep Learning and Density-Based Contour Algorithms
    Zhichao Yu
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  30. 30
    Automating Maritime Risk Data Collection and Identification Leveraging Large Language Models
    Donghao Huang
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  31. 31
    Bengali Cyberbullying: Detection, Categorization, and Gender Bias Analysis
    Md. Mithun Hossain
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  32. 32
    Beyond Overall Accuracy: Exploring Per-Class Performance Reveals Robustness and Safety Gaps in Deep Models
    Kamil Szyc
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  33. 33
    Bi-Level User Modeling for Deep Recommenders
    Yejing Wang
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  34. 34
    BiTSA: Leveraging Time Series Foundation Model for Building Energy Analytics
    Xiachong Lin
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  35. 35
    ByteScience: Bridging Unstructured Scientific Literature and Structured Data with Auto Fine-tuned Large Language Model in Token Granularity
    Tong Xie
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  36. 36
    CAKD: A Correlation-Aware Knowledge Distillation Framework Based on Decoupling Kullback-Leibler Divergence
    Zao Zhang
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  37. 37
    CardioNetFusion: A Deep Learning and Explainable AI Integrated System for Cardiovascular Disease Detection
    Gunasekaran Raja
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  38. 38
    Care-by-Design: Enhancing Customer Experience through Empathetic AI Chatbots
    Kadhim Hayawi
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  39. 39
    Cascading Multimodal Feature Enhanced Contrast Learning for Music Recommendation
    Qimeng Yang
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  40. 40
    Changing Lineup Classifier Ensemble for Drifting Imbalanced Data Streams
    Weronika Wegier
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  41. 41
    Channel-Attentive Graph Neural Networks
    Tugrul Hasan Karabulut
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  42. 42
    ChronoCTI: Mining Knowledge Graph of Temporal Relations Among Cyberattack Actions
    Rayhanur Rahman
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  43. 43
    CL4CO: A Curriculum Training Framework for Graph-Based Neural Combinatorial Optimization
    Yang Liu
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  44. 44
    Classification of Recurrent Concepts with Metafeature-based Model Selection
    Joanna Komorniczak
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  45. 45
    Combining Active Learning and Self-Labeling for Deep Learning from Data Streams
    Jan Wasilewski
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  46. 46
    Combining Self-Supervision and Privileged Information for Representation Learning from Tabular Data
    Haoyu Yang
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  47. 47
    Comprehensive Sentiment Analysis of Polish Book Reviews Using Large and Small Language Models
    Agnieszka Karlinska
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  48. 48
    Constructing $\epsilon$-Constrained Sparsified $\beta{s}$-Complexes using Space Partitioning Trees
    Rohit P. Singh
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  49. 49
    Context-Aware Offensive Meme Detection: A Multi-Modal Zero-Shot Approach with Caption-Enhanced Classification
    Faseela Abdullakutty
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  50. 50
    Continuous Exact Explanations of Neural Networks
    Alice Dethise
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