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Advanced Data Mining and Applications: 19th International Conference, ADMA 2023, Shenyang, China, August 2123, 2023, Proceedings, Part II 1st ed. 2023 [Paperback / softback]

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  • Format: Paperback / softback, 711 pages, height x width: 235x155 mm, weight: 1110 g, 187 Illustrations, color; 11 Illustrations, black and white; XXIII, 711 p. 198 illus., 187 illus. in color., 1 Paperback / softback
  • Series: Lecture Notes in Computer Science 14177
  • Pub. Date: 05-Nov-2023
  • Publisher: Springer International Publishing AG
  • ISBN-10: 3031466632
  • ISBN-13: 9783031466632
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Advanced Data Mining and Applications: 19th International Conference, ADMA 2023, Shenyang, China, August 2123, 2023, Proceedings, Part II 1st ed. 2023Larger Image
  • Format: Paperback / softback, 711 pages, height x width: 235x155 mm, weight: 1110 g, 187 Illustrations, color; 11 Illustrations, black and white; XXIII, 711 p. 198 illus., 187 illus. in color., 1 Paperback / softback
  • Series: Lecture Notes in Computer Science 14177
  • Pub. Date: 05-Nov-2023
  • Publisher: Springer International Publishing AG
  • ISBN-10: 3031466632
  • ISBN-13: 9783031466632
Other books in subject:
Permanent link: https://www.kriso.ee/db/9783031466632.html
Keywords:
This book constitutes the refereed proceedings of the 19th International Conference on Advanced Data Mining and Applications, ADMA 2023, held in Shenyang, China, during August 21–23, 2023.

The 216 full papers included in this book were carefully reviewed and selected from 503 submissions. They were organized in topical sections as follows: Data mining foundations, Grand challenges of data mining, Parallel and distributed data mining algorithms, Mining on data streams, Graph mining and Spatial data mining.
Knowledge Graph.- Improving Distance Based Knowledge Graph Embedding via
Contrastive Learning.- Knowledge Graph Completion with Information Adaptation
and Refinement.- Duet Representation Learning with Entity Multi-Attribute
Information in Knowledge Graphs.- TKGAT: Temporal Knowledge Graph
Representation Learning Using Attention Network.- Separate-and-Aggregate: A
Transformer-based Patch Refinement Model for Knowledge Graph Completion.- Two
Birds With One Stone: An Link Prediction Model for Knowledge Hypergraph Based
on Fully-Connected Tensor Decomposition.- HEM: an improved parametric link
prediction algorithm based on hybrid network evolution mechanism.- Joint
embedding of local structures and evolutionary patterns for temporal link
prediction.- Multimedia.- DQN-based Stitching Algorithm for Unmanned Aerial
Vehicle Images.- HM-QCNN: Hybrid Multi-branches Quantum-Classical Neural
Network for image classification.- DetOH: An Anchor-free Object Detector with
Only Heatmaps.- LAANet: An Efficient Automatic Modulation Recognition Model
Based on LSTM-Autoencoder and Attention Mechanism.- A Compact
Phoneme-To-Audio Aligner for Singing Voice.- Song-to-Video Translation:
Writing a Video from Song Lyrics Based on Multimodal Pre-Training.- Medical
Image Analysis.- Breast Cancer Histopathology Image Classification Using
Frequency Attention Convolution Network.- Wavelet-SVDD: Anomaly Detection and
Segmentation with Frequency Domain Attention.- Anatomical-Functional Fusion
Network for Lesion Segmentation using Dual-view CEUS.- SpMVNet: Spatial
Multi-view Network for Head and Neck Organs at Risk Segmentation.- SNN-BS: A
Clinical Terminology Standardization Method using Siamese Networks with Batch
Sampling Strategy.- Natural Language.- Read then Respond: Multi-granularity
Grounding Prediction for Knowledge-Grounded Dialogue
Generation.- SUMO-PEGASUS: A Two-Stage Model for Long Text Summarization.- An
Extractive Automatic Summarization Method for Chinese Long Text.- A
Likelihood Probability-based Online Summarization Ranking Model.- Spatial
Commonsense Reasoning for Machine Reading Comprehension.- Multimodal learning
for Automatic Summarization: A Survey.- Deep Knowledge Tracing with Concept
Trees.- Privacy and Security.- Cryptography-Inspired Federated Learning for
Generative Adversarial Networks and Meta Learning.- A Hessian-Based Federated
Learning Approach to tackle Statistical Heterogeneity.- Analyzing the
Convergence of Federated Learning with Biased Client Participation.- Privacy
Lost in online Education: Analysis of Web Tracking Evolution.- DANAA: Towards
transferable attacks with double adversarial neuron attribution.- CRNN-SA: A
Network Intrusion Detection Method Based on Deep
Learning.- Applications.- Conspiracy SpoofingOrders Detection with
Transformer-based Deep Graph Learning.- A Novel Explainable Rumor Detection
Model with Fusing Objective Information.- VLS: A Reinforcement Learning-based
Value Lookahead Strategy for Multi-product Order Fulfillment.- Deep
Reinforcement Learning for Stock Trading with Behavioral Finance
Strategy.- Ensemble Learning based Employment Recommendation under
Interaction Sparsity for College Students.- How does ChatGPT Affect Fake News
Detection Systems?.- CNGT: Co-attention Networks with Graph Transformer for
Fact Verification.- Multi-Modal.- Supervised Discriminative Discrete Hashing
for Cross-modal Retrieval.- A Knowledge-enhanced Inferential Network for
Cross-modality Multi-hop VQA.- Multi-Head Similarity Feature Representation
and Filtration for Image-Text Matching.- Multimodal Conditional VAE for
Zero-shot Real-world Event Discovery.- MAMRP: Multi-modal Data Aware Movie
Rating Prediction.- MFMGC: A Multi-Modal Data Fusion Model for Movie Genre
Classification.- TED-CS: Textual Enhanced Sensitive Video Detection with
Common Sense Knowledge.