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.

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.