DescriptionThis book constitutes the workshop proceedings of the 24th International Conference on Database Systems for Advanced Applications, DASFAA 2019, held in Chiang Mai, Thailand, in April 2019.The 14 full papers presented were carefully selected and reviewed from 26 submissions to the three following workshops: the 6th International Workshop on Big Data Management and Service, BDMS 2019; the 4th International Workshop on Big Data Quality Management, BDQM 2019; and the Third International Workshop on Graph Data Management and Analysis, GDMA 2019. This volume also includes the short papers, demo papers, and tutorial papers of the main conference DASFAA 2019.Table of ContentsThe 6th International Workshop on Big Data Management and Service (BDMS 2019)A Probabilistic Approach for Inferring Latent Entity Associations in Textual Web Contents – Lei Li, Kun Yue, Binbin Zhang, Zhengbao SunUHRP: Uncertainty-Based Pruning Method for Anonymized Data Linear Regression – Kun Liu, Wenyan Liu, Junhong Cheng, Xingjian LuMeta-path Based MiRNA-Disease Association Prediction – Hao Lv, Jin Li, Sai Zhang, Kun Yue, Shaoyu WeiMedical Question Retrieval Based on Siamese Neural Network and Transfer Learning Method – Kun Wang, Bite Yang, Guohai Xu, Xiaofeng HeAn Adaptive Kalman Filter Based Ocean Wave Prediction Model Using Motion Reference Unit Data – Yan Tang, Zequan Guo, Yin WuASLM: Adaptive Single Layer Model for Learned Index – Xin Li, Jingdong Li, Xiaoling WangSparseMAAC: Sparse Attention for Multi-agent Reinforcement Learning – Wenhao Li, Bo Jin, Xiangfeng WangThe 4th International Workshop on Big Data Quality Management (BDQM 2019)Identifying Reference Relationship of Desktop Files Based on Access Logs – Yukun Li, Xun Zhang, Jie Li, Yuan Wang, Degan ZhangVisualization of Photo Album: Selecting a Representative Photo of a Specific Event – Yukun Li, Ming Geng, Fenglian Liu, Degan ZhangData Quality Management in Institutional Research Output Data Center – Xiaohua Shi, Zhuoyuan Xing, Hongtao LuGeneralized Bayesian Structure Learning from Noisy Datasets – Yan Tang, Yu Chen, Gaolong GeThe Third International Workshop on Graph Data Management and Analysis (GDMA 2019)ANDMC: An Algorithm for Author Name Disambiguation Based on Molecular Cross Clustering – Siyang Zhang, Xinhua E, Tao Huang, Fan YangGraph Based Aspect Extraction and Rating Classification of Customer Review Data – Sung Whan Jeon, Hye Jin Lee, Hyeonguk Lee, Sungzoon ChoStreaming Massive Electric Power Data Analysis Based on Spark Streaming – Xudong Zhang, Zhongwen Qian, Siqi Shen, Jia Shi, Shujun WangPostersDeletion-Robust k-Coverage Queries – Xingnan Huang, Jiping ZhengEpisodic Memory Network with Self-attention for Emotion Detection – Jiangping Huang, Zhong Lin, Xin LiuDetecting Suicidal Ideation with Data Protection in Online Communities – Shaoxiong Ji, Guodong Long, Shirui Pan, Tianqing Zhu, Jing Jiang, Sen WangHierarchical Conceptual Labeling – Haiyun Jiang, Cengguang Zhang, Deqing Yang, Yanghua Xiao, Jingping Liu, Jindong Chen et al.Anomaly Detection in Time-Evolving Attributed Networks – Luguo Xue, Minnan Luo, Zhen Peng, Jundong Li, Yan Chen, Jun LiuA Multi-task Learning Framework for Automatic Early Detection of Alzheimer’s – Nan Xu, Yanyan Shen, Yanmin ZhuTop-k Spatial Keyword Quer with Typicality and Semantics – Xiangfu Meng, Xiaoyan Zhang, Lin Li, Quangui Zhang, Pan LiAlign Reviews with Topics in Attention Network for Rating Prediction – Yile Liang, Tieyun Qian, Huilin YuPSMSP: A Parallelized Sampling-Based Approach for Mining Top-k Sequential Patterns in Database Graphs – Mingtao Lei, Xi Zhang, Jincui Yang, Binxing FangValue-Oriented Ranking of Online Reviews Based on Reviewer-Influenced Graph – Yiming Cao, Lizhen Cui, Wei HeAncient Chinese Landscape Painting Composition Classification by Using Semantic Variational Autoencoder – Bo Yao, Qianzheng Ji, Xiangdong Zhou, Yue Pang, Manliang Cao, Yixuan Wu et al.Learning Time-Aware Distributed Representations of Locations from Spatio-Temporal Trajectories – Huaiyu Wan, Fuchen Li, Shengnan Guo, Zhong Cao, Youfang LinHyper2vec: Biased Random Walk for Hyper-network Embedding – Jie Huang, Chuan Chen, Fanghua Ye, Jiajing Wu, Zibin Zheng, Guohui LingPrivacy-Preserving and Dynamic Spatial Range Aggregation Query Processing in Wireless Sensor Networks – Lisong Wang, Zhenhai Hu, Liang LiuAdversarial Discriminative Denoising for Distant Supervision Relation Extraction – Bing Liu, Huan Gao, Guilin Qi, Shangfu Duan, Tianxing Wu, Meng WangNonnegative Spectral Clustering for Large-Scale Semi-supervised Learning – Weibo Hu, Chuan Chen, Fanghua Ye, Zibin Zheng, Guohui LingDistributed PARAFAC Decomposition Method Based on In-memory Big Data System – Hye-Kyung Yang, Hwan-Seung YongGPU-Accelerated Dynamic Graph Coloring – Ying Yang, Yu Gu, Chuanwen Li, Changyi Wan, Ge YuRelevance-Based Entity Embedding – Weixin Zeng, Xiang Zhao, Jiuyang Tang, Jinzhi Liao, Chang-Dong WangAn Iterative Map-Trajectory Co-optimisation Framework Based on Map-Matching and Map Update – Pingfu Chao, Wen Hua, Xiaofang ZhouExploring Regularity in Traditional Chinese Medicine Clinical Data Using Heterogeneous Weighted Networks Embedding – Chunyang Ruan, Ye Wang, Yanchun Zhang, Yun YangAGREE: Attention-Based Tour Group Recommendation with Multi-modal Data – Fang Hu, Xiuqi Huang, Xiaofeng Gao, Guihai ChenRandom Decision DAG: An Entropy Based Compression Approach for Random Forest – Xin Liu, Xiao Liu, Yongxuan Lai, Fan Yang, Yifeng ZengGenerating Behavior Features for Cold-Start Spam Review Detection – Xiaoya Tang, Tieyun Qian, Zhenni YouTCL: Tensor-CNN-LSTM for Travel Time Prediction with Sparse Trajectory Data – Yibin Shen, Jiaxun Hua, Cheqing Jin, Dingjiang HuangA Semi-supervised Classification Approach for Multiple Time-Varying Networks with Total Variation – Yuzheng Li, Chuan Chen, Fanghua Ye, Zibin Zheng, Guohui LingMultidimensional Skylines over Streaming Data – Karim Alami, Sofian MaaboutA Domain Adaptation Approach for Multistream Classification – Yue Xie, Jingjing Li, Mengmeng Jing, Ke Lu, Zi HuangGradient Boosting Censored Regression for Winning Price Prediction in Real-Time Bidding – Piyush Paliwal, Oleksii RenovDeep Sequential Multi-task Modeling for Next Check-in Time and Location Prediction – Wenwei Liang, Wei Zhang, Xiaoling WangSemiSync: Semi-supervised Clustering by Synchronization – Zhong Zhang, Didi Kang, Chongming Gao, Junming ShaoNeural Review Rating Prediction with Hierarchical Attentions and Latent Factors – Xianchen Wang, Hongtao Liu, Peiyi Wang, Fangzhao Wu, Hongyan Xu, Wenjun Wang et al.MVS-match: An Efficient Subsequence Matching Approach Based on the Series Synopsis – Kefeng Feng, Jiaye Wu, Peng Wang, Ningting Pan, Wei WangSpatial-Temporal Recommendation for On-demand Cinemas – Taofeng Xue, Beihong Jin, Beibei Li, Kunchi Liu, Qi Zhang, Sihua TianFinding the Key Influences on the House Price by Finite Mixture Model Based on the Real Estate Data in Changchun – Xin Xu, Zeyu Huang, Jingyi Wu, Yanjie Fu, Na Luo, Weitong Chen et al.Semi-supervised Clustering with Deep Metric Learning – Xiaocui Li, Hongzhi Yin, Ke Zhou, Hongxu Chen, Shazia Sadiq, Xiaofang ZhouSpatial Bottleneck Minimum Task Assignment with Time-Delay – Long Li, Jingzhi Fang, Bowen Du, Weifeng LvA Mimic Learning Method for Disease Risk Prediction with Incomplete Initial Data – Lin Yue, Haonan Zhao, Yiqin Yang, Dongyuan Tian, Xiaowei Zhao, Minghao YinHospitalization Behavior Prediction Based on Attention and Time Adjustment Factors in Bidirectional LSTM – Lin Cheng, Yongjian Ren, Kun Zhang, Li Pan, Yuliang ShiModeling Item Categories for Effective Recommendation – Bo Song, Yi Cao, Weike Pan, Congfu XuDistributed Reachability Queries on Massive Graphs – Tianming Zhang, Yunjun Gao, Congzheng Li, Congcong Ge, Wei Guo, Qiang ZhouEdge-Based Shortest Path Caching in Road Networks – Detian Zhang, An Liu, Gaoming Jin, Qing LiExtracting Definitions and Hypernyms with a Two-Phase Framework – Yifang Sun, Shifeng Liu, Yufei Wang, Wei WangTag Recommendation by Word-Level Tag Sequence Modeling – Xuewen Shi, Heyan Huang, Shuyang Zhao, Ping Jian, Yi-Kun TangA New Statistics Collecting Method with Adaptive Strategy – Jin-Tao Gao, Wen-Jie Liu, Zhan-Huai Li, Hong-Tao Du, Ou-Ya PeiWord Sense Disambiguation with Massive Contextual Texts – Ya-fei Liu, Jinmao WeiLearning DMEs from Positive and Negative Examples – Yeting Li, Chunmei Dong, Xinyu Chu, Haiming ChenSerial and Parallel Recurrent Convolutional Neural Networks for Biomedical Named Entity Recognition – Qianhui Lu, Yunlai Xu, Runqi Yang, Ning Li, Chongjun WangDRGAN: A GAN-Based Framework for Doctor Recommendation in Chinese On-Line QA Communities – Bing Tian, Yong Zhang, Xinhuan Chen, Chunxiao Xing, Chao LiAttention-Based Abnormal-Aware Fusion Network for Radiology Report Generation – Xiancheng Xie, Yun Xiong, Philip S. Yu, Kangan Li, Suhua Zhang, Yangyong ZhuLearningTour: A Machine Learning Approach for Tour Recommendation Based on Users’ Historical Travel Experience – Zhaorui Li, Yuanning Gao, Xiaofeng Gao, Guihai ChenTF-Miner: Topic-Specific Facet Mining by Label Propagation – Zhaotong Guo, Bifan Wei, Jun Liu, Bei WuFast Raft Replication for Transactional Database Systems over Unreliable Networks – Peng Cai, Jinwei Guo, Huan Zhou, Weining Qian, Aoying ZhouParallelizing Big De Bruijn Graph Traversal for Genome Assembly on GPU Clusters – Shuang Qiu, Zonghao Feng, Qiong LuoGScan: Exploiting Sequential Scans for Subgraph Matching – Zhiwei Zhang, Hao Wei, Jianliang Xu, Byron ChoiSIMD Accelerates the Probe Phase of Star Joins in Main Memory Databases – Zhuhe Fang, Zeyu He, Jiajia Chu, Chuliang WengA Deep Recommendation Model Incorporating Adaptive Knowledge-Based Representations – Chenlu Shen, Deqing Yang, Yanghua XiaoBLOMA: Explain Collaborative Filtering via Boosted Local Rank-One Matrix Approximation – Chongming Gao, Shuai Yuan, Zhong Zhang, Hongzhi Yin, Junming ShaoSpatiotemporal-Aware Region Recommendation with Deep Metric Learning – Hengpeng Xu, Yao Zhang, Jinmao Wei, Zhenglu Yang, Jun WangOn the Impact of the Length of Subword Vectors on Word Embeddings – Xiangrui Cai, Yonghong Luo, Ying Zhang, Xiaojie YuanUsing Dilated Residual Network to Model Distantly Supervised Relation Extraction – Lei Zhan, Yan Yang, Pinpin Zhu, Liang He, Zhou YuModeling More Globally: A Hierarchical Attention Network via Multi-Task Learning for Aspect-Based Sentiment Analysis – Xiangying Ran, Yuanyuan Pan, Wei Sun, Chongjun WangA Scalable Sparse Matrix-Based Join for SPARQL Query Processing – Xiaowang Zhang, Mingyue Zhang, Peng Peng, Jiaming Song, Zhiyong Feng, Lei ZouChange Point Detection for Streaming High-Dimensional Time Series – Masoomeh Zameni, Zahra Ghafoori, Amin Sadri, Christopher Leckie, Kotagiri RamamohanaraoDemosDistributed Query Engine for Multiple-Query Optimization over Data Stream – Junye Yang, Yong Zhang, Jin Wang, Chunxiao XingAdding Value by Combining Business and Sensor Data: An Industry 4.0 Use Case – Guenter Hesse, Christoph Matthies, Werner Sinzig, Matthias UflackerAgriKG: An Agricultural Knowledge Graph and Its Applications – Yuanzhe Chen, Jun Kuang, Dawei Cheng, Jianbin Zheng, Ming Gao, Aoying ZhouKGVis: An Interactive Visual Query Language for Knowledge Graphs – Xin Wang, Qiang Fu, Jianqiang Mei, Jianxin Li, Yajun YangOperaMiner: Extracting Character Relations from Opera Scripts Using Deep Neural Networks – Xujian Zhao, Xinnan Dai, Peiquan Jin, Hui Zhang, Chunming Yang, Bo LiGparMiner: A System to Mine Graph Pattern Association Rules – Xin Wang, Yang Xu, Ruocheng Zhao, Junjie Lin, Huayi ZhanA Data Publishing System Based on Privacy Preservation – Zhihui Wang, Yun Zhu, Xuchen ZhouPrivacy as a Service: Publishing Data and Models – Ashish Dandekar, Debabrota Basu, Thomas Kister, Geong Sen Poh, Jia Xu, Stéphane BressanDynamic Bus Route Adjustment Based on Hot Bus Stop Pair Extraction – Jiaye Liu, Jiali Mao, YunTao Du, Lishen Zhao, Zhao ZhangDHDSearch: A Framework for Batch Time Series Searching on MapReduce – Zhongsheng Li, Qiuhong Li, Wei Wang, Yang Wang, Yimin LiuBus Stop Refinement Based on Hot Spot Extraction – Yilian Xin, Jiali Mao, Simin Yu, Minxi Li, Cheqing JinAdaptive Transaction Scheduling for Highly Contended Workloads – Jixin Wang, Jinwei Guo, Huan Zhou, Peng Cai, Weining QianIMOptimizer: An Online Interactive Parameter Optimization System Based on Big Data – Zhiyu Liang, Hongzhi Wang, Jianzhong Li, Hong GaoEditors BiographyGuoliang Li Tsinghua University, Beijing, ChinaJun Yang Duke University, Durham, USAJoao Gama University of Porto, Porto, PortugalJuggapong Natwichai Chiang Mai University, Chiang Mai, ThailandYongxin Tong Beihang University, Beijing, China