Advanced Data Mining and Applications

19th International Conference, ADMA 2023, Shenyang, China, August 21¿23, 2023, Proceedings, Part V
Herausgegeben:Yang, Xiaochun; Suhartanto, Heru; Wang, Guoren; Wang, Bin; Jiang, Jing; Li, Bing; Zhu, Huaijie; Cui, Ningning

• Broschiertes Buch

Produktbeschreibung

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.

Produktdetails

• Lecture Notes in Computer Science 14180
• Verlag: Springer / Springer Nature Switzerland / Springer, Berlin
• Artikelnr. des Verlages: 978-3-031-46676-2
• 1st ed. 2023
• Seitenzahl: 676
• Erscheinungstermin: 5. November 2023
• Englisch
• Abmessung: 235mm x 155mm x 37mm
• Gewicht: 1007g
• ISBN-13: 9783031466762
• ISBN-10: 3031466764
• Artikelnr.: 68948951

Inhaltsangabe

Data Mining.- Heterogeneous line graph neural network for link prediction.- Improving Open-Domain Answer Sentence Selection by Distributed Clients with Privacy Preservation.- An Early Stage Identification of Cryptomining Behavior with DNS Requests.- NFAQP: Normalizing Flow based Approximate Query Processing.- Efficient Blockchain Data Trusty Provenance Based on the W3C PROV Model.- Cardinality Estimation of Subgraph Search Queries with Direction Learner.- Approximate Continuous k Representative Skyline Queries over Memory Limitation-based Streaming Data.- AAP: Defending Against Website Fingerprinting through Burst Obfuscation.- ReviewLocator: Enhance User Review-based Bug Localization with Bug Reports.- Improving Adversarial Robustness Via Channel And Depth Compatibility.- Boosting Adversarial Attacks with Improved Sign Method.- BRQG : A BART-based Retouching Framework for Multi-hop Question Generation.- MTSTI: A Multi-task Learning Framework for Spatiotemporal Imputation.- TIGAN: Trajectory Imputation via Generative Adversarial Network.- Continuous Group Nearest Neighbor Query over Sliding Window.- Exploration of Stochastic Selection of Splitting Attributes as a Source of Inducing Diversity.- Machine Unlearning Methodology base on Stochastic Teacher Network.- CNMBI: Determining the Number of Clusters Using Center Pairwise Matching and Boundary Filtering.- TS-MVP:Time-Series Representation Learning by Multi-View Prototypical Contrastive Learning.- Feature Selection Method for High Dimensional Data Based on Improved BOA in AIoT.- DACI: An index structure supporting attributed community queries.- Persistent Community Search over Temporal Bipartite Graphs.- Applications (Including Industry Track Papers).- D-Score: A White-Box Diagnosis Score for CNNs Based on Mutation Operators.- CTKM: Crypto-based user clustering on web Transactiondata.- Calibrating Popularity Bias Based on Quality for Fairness Recommendation.- Searching User Community and Attribute Location Cluster in Location-Based Social Networks.- Efficient Size-Constrained (k, d)-Truss Community Search.- FSKD: Detecting Fake News with Few-Shot Knowledge Distillation.- STIP: A Seasonal Trend Integrated Predictor for Blood Glucose Level in Time Series.- Window-Controlled Sepsis Prediction Using a Model Selection Approach.- An Effective Pre-trained Visual Encoder for Medical Visual Question Answering.- BBAC: Blockchain-based access control scheme for EHRs with data sharing support.- Cross-genre Retrieval for Information Integrity: A COVID-19 Case Study.- PBCI-DS: A Benchmark Peripheral Blood Cell Image Dataset for Object Detection.- Skilled Task Assignment with Extra Budget in Spatial Crowdsourcing.- Synchronous Prediction of Asset Prices' Multivariate Time Series based on Multi-task Learning and Data Augmentation.- MGCP:A Multi-View Diffusing Graphs based Traffic Congestion Prediction for Roads around Factory.- M2MTR: Reposition Idle Taxis in The Many-to-Many Manner with Multi-Agent Reinforcement Learning.- Difficulty-Controlled Question Generation in Adaptive Education for Few-shot Learning.- A Multi-Truth Discovery Approach Based on Confidence Interval Estimation of Truths.- Development and Application of Flight Parameter Data Analysis Based on Multi-text Timescale Alignment.- LFD-CD: Peripheral Blood Cells Detection Using a Lightweight Cell Detection Model with Full-connection and Dropconnect.- An Effective Pre-trained Visual Encoder for Medical Visual Question Answering.- A Spatio-Temporal Attention-based GCN for Anti-Money Laundering Transaction Detection.