Online Anomaly Detection via Incremental Tensor Decomposition -- Intelligent Trader Model based on Deep Reinforcement Learning -- BiRNN-DKT: Transfer Bi-directional LSTM RNN for Knowledge Tracing -- Semi-supervised Learning to Rank with Uncertain Data -- Signed Network Embedding Based on Noise Contrasive Estimation and Deep Learning -- Under Water Object Detection Based on Convolution Neural Network -- Face Photo-Sketch Synthesis based on Conditional Adversarial Networks -- Research and Implementation of Vehicle Tracking Algorithm based on Multi-feature Fusion -- An Enterprise Competitiveness Assessment Method based on Ensemble Learning -- A Method for Duplicate Record Detection Using Deep Learning -- Case Facts Analysis Method Based on Deep Learning -- The Air Quality Prediction Based on a Convolutional LSTM Network -- Core Solution Computing Algorithm of Web Data Exchange -- A Novel Adaptive Tuning Mechanism for Kafka-based Ordering Service -- Author Name Disambiguation in Heterogeneous Academic Networks -- Is Bigger Data Better for Defect Prediction: Examining the Impact of Data Size on Supervised and Unsupervised Defect Prediction -- Using Behavior Data to Predict the Internet Addition of College Students -- Detection of Entity-description Conflict on Duplicated Data Based on Merkle-tree for IIoT -- Anti-money Laundering (AML) Research: A System for Identification and Multi-Classification -- Research of Query Verification Algorithm on Body Sensing Data in Cloud Computing Environment -- Analysis of Macro Factors of Welfare Lottery Marketing Based on Big Data -- An inflection point based clustering method for sequence data -- Efficient Large-Scale Multi-Graph Similarity Search Using MapReduce -- A Subgraph Query Method based on Adjacent Node Features on Large-scale Label Graphs -- Semantic Web Service Discovery Based on LDA Clustering -- Research and Implementation of Anti-Occlusion Algorithm for Vehicle Detection in Video Data -- Temporal Dependency Mining from Multi-Sensor Event Sequences for Predictive Maintenance -- An anomaly pattern detection method for sensor data -- A Sequence-to-Sequence Text Summarization Model with Topic based Attention Mechanism -- Sentiment Tendency Analysis of NPC & CPPCC in German News -- Ensemble Methods for Word Embedding Model Based on Judicial Text -- Multilingual Short Text Classification Based on LDA and BiLSTM-CNN Neural Network -- Random Sequence Coding based Privacy Preserving Nearest Neighbor Query Method -- Multi-keyword Search Bsed On Attribute Encryption -- Private Trajectory Data Publication for Trajectory Classification -- Adaptive Authorization Access Method for Medical Cloud Data based on Attribute Encryption -- Dummy-based Trajectory Privacy Protection against Exposure Location Attacks -- Privacy Protection Workflow Publishing Under Differential Privacy -- A Cross-network User Identification Model based on Two-phase Expansion -- Prediction based on Node Embedding and Personalized Time Interval in Temporal Multi-relational Network -- A Unified Relational Storage Scheme for RDF and Property Graphs -- Construction Research and Application of Poverty Alleviation Knowledge Graph -- Graph Data Retrieval Algorithm for Knowledge Fragmentation -- A Method of Link Prediction Using Meta Path and Attribute Information -- TransFG: A Fine-Grained Model for Knowledge Graph Embedding -- Adjustable Location Privacy-Preserving Nearest Neighbor Query Method -- Semi-supervised Sentiment Classification Method based on Weibo Social Relationship -- Organization and Query Optimization of Large-scale Product Knowledge -- Drug Abuse Detection via Broad Learning.

This book constitutes the proceedings of the 16th International Conference on Web Information Systems and Applications, WISA 2019, held in Qingdao, China, in September 2019. The 39 revised full papers and 33 short papers presented were carefully reviewed and selected from 154 submissions. The papers are grouped in topical sections on machine learning and data mining, cloud computing and big data, information retrieval, natural language processing, data privacy and security, knowledge graphs and social networks, blockchain, query processing, and recommendations.