Database Systems for Advanced Applications: DASFAA 2019 International Workshops: BDMS, BDQM, and GDMA, Chiang Mai, Thailand, April 22-25, 2019, Proceedings

Description

This 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 Contents

1. The 6th International Workshop on Big Data Management and Service (BDMS 2019)
   1. A Probabilistic Approach for Inferring Latent Entity Associations in Textual Web Contents – Lei Li, Kun Yue, Binbin Zhang, Zhengbao Sun
   2. UHRP: Uncertainty-Based Pruning Method for Anonymized Data Linear Regression – Kun Liu, Wenyan Liu, Junhong Cheng, Xingjian Lu
   3. Meta-path Based MiRNA-Disease Association Prediction – Hao Lv, Jin Li, Sai Zhang, Kun Yue, Shaoyu Wei
   4. Medical Question Retrieval Based on Siamese Neural Network and Transfer Learning Method – Kun Wang, Bite Yang, Guohai Xu, Xiaofeng He
   5. An Adaptive Kalman Filter Based Ocean Wave Prediction Model Using Motion Reference Unit Data – Yan Tang, Zequan Guo, Yin Wu
   6. ASLM: Adaptive Single Layer Model for Learned Index – Xin Li, Jingdong Li, Xiaoling Wang
   7. SparseMAAC: Sparse Attention for Multi-agent Reinforcement Learning – Wenhao Li, Bo Jin, Xiangfeng Wang
2. The 4th International Workshop on Big Data Quality Management (BDQM 2019)
   1. Identifying Reference Relationship of Desktop Files Based on Access Logs – Yukun Li, Xun Zhang, Jie Li, Yuan Wang, Degan Zhang
   2. Visualization of Photo Album: Selecting a Representative Photo of a Specific Event – Yukun Li, Ming Geng, Fenglian Liu, Degan Zhang
   3. Data Quality Management in Institutional Research Output Data Center – Xiaohua Shi, Zhuoyuan Xing, Hongtao Lu
   4. Generalized Bayesian Structure Learning from Noisy Datasets – Yan Tang, Yu Chen, Gaolong Ge
3. The Third International Workshop on Graph Data Management and Analysis (GDMA 2019)
   1. ANDMC: An Algorithm for Author Name Disambiguation Based on Molecular Cross Clustering – Siyang Zhang, Xinhua E, Tao Huang, Fan Yang
   2. Graph Based Aspect Extraction and Rating Classification of Customer Review Data – Sung Whan Jeon, Hye Jin Lee, Hyeonguk Lee, Sungzoon Cho
   3. Streaming Massive Electric Power Data Analysis Based on Spark Streaming – Xudong Zhang, Zhongwen Qian, Siqi Shen, Jia Shi, Shujun Wang
4. Posters
   1. Deletion-Robust k-Coverage Queries – Xingnan Huang, Jiping Zheng
   2. Episodic Memory Network with Self-attention for Emotion Detection – Jiangping Huang, Zhong Lin, Xin Liu
   3. Detecting Suicidal Ideation with Data Protection in Online Communities – Shaoxiong Ji, Guodong Long, Shirui Pan, Tianqing Zhu, Jing Jiang, Sen Wang
   4. Hierarchical Conceptual Labeling – Haiyun Jiang, Cengguang Zhang, Deqing Yang, Yanghua Xiao, Jingping Liu, Jindong Chen et al.
   5. Anomaly Detection in Time-Evolving Attributed Networks – Luguo Xue, Minnan Luo, Zhen Peng, Jundong Li, Yan Chen, Jun Liu
   6. A Multi-task Learning Framework for Automatic Early Detection of Alzheimer’s – Nan Xu, Yanyan Shen, Yanmin Zhu
   7. Top-k Spatial Keyword Quer with Typicality and Semantics – Xiangfu Meng, Xiaoyan Zhang, Lin Li, Quangui Zhang, Pan Li
   8. Align Reviews with Topics in Attention Network for Rating Prediction – Yile Liang, Tieyun Qian, Huilin Yu
   9. PSMSP: A Parallelized Sampling-Based Approach for Mining Top-k Sequential Patterns in Database Graphs – Mingtao Lei, Xi Zhang, Jincui Yang, Binxing Fang
   10. Value-Oriented Ranking of Online Reviews Based on Reviewer-Influenced Graph – Yiming Cao, Lizhen Cui, Wei He
   11. Ancient Chinese Landscape Painting Composition Classification by Using Semantic Variational Autoencoder – Bo Yao, Qianzheng Ji, Xiangdong Zhou, Yue Pang, Manliang Cao, Yixuan Wu et al.
   12. Learning Time-Aware Distributed Representations of Locations from Spatio-Temporal Trajectories – Huaiyu Wan, Fuchen Li, Shengnan Guo, Zhong Cao, Youfang Lin
   13. Hyper2vec: Biased Random Walk for Hyper-network Embedding – Jie Huang, Chuan Chen, Fanghua Ye, Jiajing Wu, Zibin Zheng, Guohui Ling
   14. Privacy-Preserving and Dynamic Spatial Range Aggregation Query Processing in Wireless Sensor Networks – Lisong Wang, Zhenhai Hu, Liang Liu
   15. Adversarial Discriminative Denoising for Distant Supervision Relation Extraction – Bing Liu, Huan Gao, Guilin Qi, Shangfu Duan, Tianxing Wu, Meng Wang
   16. Nonnegative Spectral Clustering for Large-Scale Semi-supervised Learning – Weibo Hu, Chuan Chen, Fanghua Ye, Zibin Zheng, Guohui Ling
   17. Distributed PARAFAC Decomposition Method Based on In-memory Big Data System – Hye-Kyung Yang, Hwan-Seung Yong
   18. GPU-Accelerated Dynamic Graph Coloring – Ying Yang, Yu Gu, Chuanwen Li, Changyi Wan, Ge Yu
   19. Relevance-Based Entity Embedding – Weixin Zeng, Xiang Zhao, Jiuyang Tang, Jinzhi Liao, Chang-Dong Wang
   20. An Iterative Map-Trajectory Co-optimisation Framework Based on Map-Matching and Map Update – Pingfu Chao, Wen Hua, Xiaofang Zhou
   21. Exploring Regularity in Traditional Chinese Medicine Clinical Data Using Heterogeneous Weighted Networks Embedding – Chunyang Ruan, Ye Wang, Yanchun Zhang, Yun Yang
   22. AGREE: Attention-Based Tour Group Recommendation with Multi-modal Data – Fang Hu, Xiuqi Huang, Xiaofeng Gao, Guihai Chen
   23. Random Decision DAG: An Entropy Based Compression Approach for Random Forest – Xin Liu, Xiao Liu, Yongxuan Lai, Fan Yang, Yifeng Zeng
   24. Generating Behavior Features for Cold-Start Spam Review Detection – Xiaoya Tang, Tieyun Qian, Zhenni You
   25. TCL: Tensor-CNN-LSTM for Travel Time Prediction with Sparse Trajectory Data – Yibin Shen, Jiaxun Hua, Cheqing Jin, Dingjiang Huang
   26. A Semi-supervised Classification Approach for Multiple Time-Varying Networks with Total Variation – Yuzheng Li, Chuan Chen, Fanghua Ye, Zibin Zheng, Guohui Ling
   27. Multidimensional Skylines over Streaming Data – Karim Alami, Sofian Maabout
   28. A Domain Adaptation Approach for Multistream Classification – Yue Xie, Jingjing Li, Mengmeng Jing, Ke Lu, Zi Huang
   29. Gradient Boosting Censored Regression for Winning Price Prediction in Real-Time Bidding – Piyush Paliwal, Oleksii Renov
   30. Deep Sequential Multi-task Modeling for Next Check-in Time and Location Prediction – Wenwei Liang, Wei Zhang, Xiaoling Wang
   31. SemiSync: Semi-supervised Clustering by Synchronization – Zhong Zhang, Didi Kang, Chongming Gao, Junming Shao
   32. Neural Review Rating Prediction with Hierarchical Attentions and Latent Factors – Xianchen Wang, Hongtao Liu, Peiyi Wang, Fangzhao Wu, Hongyan Xu, Wenjun Wang et al.
   33. MVS-match: An Efficient Subsequence Matching Approach Based on the Series Synopsis – Kefeng Feng, Jiaye Wu, Peng Wang, Ningting Pan, Wei Wang
   34. Spatial-Temporal Recommendation for On-demand Cinemas – Taofeng Xue, Beihong Jin, Beibei Li, Kunchi Liu, Qi Zhang, Sihua Tian
   35. Finding 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.
   36. Semi-supervised Clustering with Deep Metric Learning – Xiaocui Li, Hongzhi Yin, Ke Zhou, Hongxu Chen, Shazia Sadiq, Xiaofang Zhou
   37. Spatial Bottleneck Minimum Task Assignment with Time-Delay – Long Li, Jingzhi Fang, Bowen Du, Weifeng Lv
   38. A Mimic Learning Method for Disease Risk Prediction with Incomplete Initial Data – Lin Yue, Haonan Zhao, Yiqin Yang, Dongyuan Tian, Xiaowei Zhao, Minghao Yin
   39. Hospitalization Behavior Prediction Based on Attention and Time Adjustment Factors in Bidirectional LSTM – Lin Cheng, Yongjian Ren, Kun Zhang, Li Pan, Yuliang Shi
   40. Modeling Item Categories for Effective Recommendation – Bo Song, Yi Cao, Weike Pan, Congfu Xu
   41. Distributed Reachability Queries on Massive Graphs – Tianming Zhang, Yunjun Gao, Congzheng Li, Congcong Ge, Wei Guo, Qiang Zhou
   42. Edge-Based Shortest Path Caching in Road Networks – Detian Zhang, An Liu, Gaoming Jin, Qing Li
   43. Extracting Definitions and Hypernyms with a Two-Phase Framework – Yifang Sun, Shifeng Liu, Yufei Wang, Wei Wang
   44. Tag Recommendation by Word-Level Tag Sequence Modeling – Xuewen Shi, Heyan Huang, Shuyang Zhao, Ping Jian, Yi-Kun Tang
   45. A New Statistics Collecting Method with Adaptive Strategy – Jin-Tao Gao, Wen-Jie Liu, Zhan-Huai Li, Hong-Tao Du, Ou-Ya Pei
   46. Word Sense Disambiguation with Massive Contextual Texts – Ya-fei Liu, Jinmao Wei
   47. Learning DMEs from Positive and Negative Examples – Yeting Li, Chunmei Dong, Xinyu Chu, Haiming Chen
   48. Serial and Parallel Recurrent Convolutional Neural Networks for Biomedical Named Entity Recognition – Qianhui Lu, Yunlai Xu, Runqi Yang, Ning Li, Chongjun Wang
   49. DRGAN: A GAN-Based Framework for Doctor Recommendation in Chinese On-Line QA Communities – Bing Tian, Yong Zhang, Xinhuan Chen, Chunxiao Xing, Chao Li
   50. Attention-Based Abnormal-Aware Fusion Network for Radiology Report Generation – Xiancheng Xie, Yun Xiong, Philip S. Yu, Kangan Li, Suhua Zhang, Yangyong Zhu
   51. LearningTour: A Machine Learning Approach for Tour Recommendation Based on Users’ Historical Travel Experience – Zhaorui Li, Yuanning Gao, Xiaofeng Gao, Guihai Chen
   52. TF-Miner: Topic-Specific Facet Mining by Label Propagation – Zhaotong Guo, Bifan Wei, Jun Liu, Bei Wu
   53. Fast Raft Replication for Transactional Database Systems over Unreliable Networks – Peng Cai, Jinwei Guo, Huan Zhou, Weining Qian, Aoying Zhou
   54. Parallelizing Big De Bruijn Graph Traversal for Genome Assembly on GPU Clusters – Shuang Qiu, Zonghao Feng, Qiong Luo
   55. GScan: Exploiting Sequential Scans for Subgraph Matching – Zhiwei Zhang, Hao Wei, Jianliang Xu, Byron Choi
   56. SIMD Accelerates the Probe Phase of Star Joins in Main Memory Databases – Zhuhe Fang, Zeyu He, Jiajia Chu, Chuliang Weng
   57. A Deep Recommendation Model Incorporating Adaptive Knowledge-Based Representations – Chenlu Shen, Deqing Yang, Yanghua Xiao
   58. BLOMA: Explain Collaborative Filtering via Boosted Local Rank-One Matrix Approximation – Chongming Gao, Shuai Yuan, Zhong Zhang, Hongzhi Yin, Junming Shao
   59. Spatiotemporal-Aware Region Recommendation with Deep Metric Learning – Hengpeng Xu, Yao Zhang, Jinmao Wei, Zhenglu Yang, Jun Wang
   60. On the Impact of the Length of Subword Vectors on Word Embeddings – Xiangrui Cai, Yonghong Luo, Ying Zhang, Xiaojie Yuan
   61. Using Dilated Residual Network to Model Distantly Supervised Relation Extraction – Lei Zhan, Yan Yang, Pinpin Zhu, Liang He, Zhou Yu
   62. Modeling More Globally: A Hierarchical Attention Network via Multi-Task Learning for Aspect-Based Sentiment Analysis – Xiangying Ran, Yuanyuan Pan, Wei Sun, Chongjun Wang
   63. A Scalable Sparse Matrix-Based Join for SPARQL Query Processing – Xiaowang Zhang, Mingyue Zhang, Peng Peng, Jiaming Song, Zhiyong Feng, Lei Zou
   64. Change Point Detection for Streaming High-Dimensional Time Series – Masoomeh Zameni, Zahra Ghafoori, Amin Sadri, Christopher Leckie, Kotagiri Ramamohanarao
5. Demos
   1. Distributed Query Engine for Multiple-Query Optimization over Data Stream – Junye Yang, Yong Zhang, Jin Wang, Chunxiao Xing
   2. Adding Value by Combining Business and Sensor Data: An Industry 4.0 Use Case – Guenter Hesse, Christoph Matthies, Werner Sinzig, Matthias Uflacker
   3. AgriKG: An Agricultural Knowledge Graph and Its Applications – Yuanzhe Chen, Jun Kuang, Dawei Cheng, Jianbin Zheng, Ming Gao, Aoying Zhou
   4. KGVis: An Interactive Visual Query Language for Knowledge Graphs – Xin Wang, Qiang Fu, Jianqiang Mei, Jianxin Li, Yajun Yang
   5. OperaMiner: Extracting Character Relations from Opera Scripts Using Deep Neural Networks – Xujian Zhao, Xinnan Dai, Peiquan Jin, Hui Zhang, Chunming Yang, Bo Li
   6. GparMiner: A System to Mine Graph Pattern Association Rules – Xin Wang, Yang Xu, Ruocheng Zhao, Junjie Lin, Huayi Zhan
   7. A Data Publishing System Based on Privacy Preservation – Zhihui Wang, Yun Zhu, Xuchen Zhou
   8. Privacy as a Service: Publishing Data and Models – Ashish Dandekar, Debabrota Basu, Thomas Kister, Geong Sen Poh, Jia Xu, Stéphane Bressan
   9. Dynamic Bus Route Adjustment Based on Hot Bus Stop Pair Extraction – Jiaye Liu, Jiali Mao, YunTao Du, Lishen Zhao, Zhao Zhang
   10. DHDSearch: A Framework for Batch Time Series Searching on MapReduce – Zhongsheng Li, Qiuhong Li, Wei Wang, Yang Wang, Yimin Liu
   11. Bus Stop Refinement Based on Hot Spot Extraction – Yilian Xin, Jiali Mao, Simin Yu, Minxi Li, Cheqing Jin
   12. Adaptive Transaction Scheduling for Highly Contended Workloads – Jixin Wang, Jinwei Guo, Huan Zhou, Peng Cai, Weining Qian
   13. IMOptimizer: An Online Interactive Parameter Optimization System Based on Big Data – Zhiyu Liang, Hongzhi Wang, Jianzhong Li, Hong Gao

Editors Biography

Guoliang Li
Tsinghua University, Beijing, China

Jun Yang
Duke University, Durham, USA

Joao Gama
University of Porto, Porto, Portugal

Juggapong Natwichai
Chiang Mai University, Chiang Mai, Thailand

Yongxin Tong
Beihang University, Beijing, China