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ORCID24th DASFAA Workshops 2019: Chiang Mai, Thailand
- Guoliang Li, Jun Yang, João Gama, Juggapong Natwichai, Yongxin Tong:
Database Systems for Advanced Applications - 24th International Conference, DASFAA 2019, Chiang Mai, Thailand, April 22-25, 2019, Proceedings, Part III, and DASFAA 2019 International Workshops: BDMS, BDQM, and GDMA, Chiang Mai, Thailand, April 22-25, 2019, Proceedings. Lecture Notes in Computer Science 11448, Springer 2019, ISBN 978-3-030-18589-3
The 6th International Workshop on Big Data Management and Service (BDMS 2019)
- Lei Li
, Kun Yue, Binbin Zhang, Zhengbao Sun:
A Probabilistic Approach for Inferring Latent Entity Associations in Textual Web Contents. 3-18 - Kun Liu, Wenyan Liu, Junhong Cheng, Xingjian Lu:
UHRP: Uncertainty-Based Pruning Method for Anonymized Data Linear Regression. 19-33 - Hao Lv, Jin Li, Sai Zhang, Kun Yue, Shaoyu Wei:
Meta-path Based MiRNA-Disease Association Prediction. 34-48 - Kun Wang, Bite Yang, Guohai Xu, Xiaofeng He:
Medical Question Retrieval Based on Siamese Neural Network and Transfer Learning Method. 49-64 - Yan Tang, Zequan Guo, Yin Wu:
An Adaptive Kalman Filter Based Ocean Wave Prediction Model Using Motion Reference Unit Data. 65-79 - Xin Li, Jingdong Li, Xiaoling Wang:
ASLM: Adaptive Single Layer Model for Learned Index. 80-95 - Wenhao Li, Bo Jin, Xiangfeng Wang:
SparseMAAC: Sparse Attention for Multi-agent Reinforcement Learning. 96-110
The 4th International Workshop on Big Data Quality Management (BDQM 2019)
- Yukun Li, Xun Zhang, Jie Li, Yuan Wang, Degan Zhang:
Identifying Reference Relationship of Desktop Files Based on Access Logs. 113-127 - Yukun Li, Ming Geng, Fenglian Liu, Degan Zhang:
Visualization of Photo Album: Selecting a Representative Photo of a Specific Event. 128-141 - Xiaohua Shi, Zhuoyuan Xing, Hongtao Lu:
Data Quality Management in Institutional Research Output Data Center. 142-157 - Yan Tang, Yu Chen, Gaolong Ge:
Generalized Bayesian Structure Learning from Noisy Datasets. 158-169
The Third International Workshop on Graph Data Management and Analysis (GDMA 2019)
- Siyang Zhang, Xinhua E, Tao Huang, Fan Yang:
ANDMC: An Algorithm for Author Name Disambiguation Based on Molecular Cross Clustering. 173-185 - Sung Whan Jeon, Hye Jin Lee, Hyeonguk Lee, Sungzoon Cho:
Graph Based Aspect Extraction and Rating Classification of Customer Review Data. 186-199 - Xudong Zhang, Zhongwen Qian, Siqi Shen, Jia Shi, Shujun Wang:
Streaming Massive Electric Power Data Analysis Based on Spark Streaming. 200-212
Posters
- Xingnan Huang, Jiping Zheng:
Deletion-Robust k-Coverage Queries. 215-219 - Jiangping Huang, Zhong Lin, Xin Liu:
Episodic Memory Network with Self-attention for Emotion Detection. 220-224 - Shaoxiong Ji, Guodong Long, Shirui Pan, Tianqing Zhu, Jing Jiang, Sen Wang:
Detecting Suicidal Ideation with Data Protection in Online Communities. 225-229 - Haiyun Jiang, Cengguang Zhang, Deqing Yang, Yanghua Xiao, Jingping Liu, Jindong Chen, Chao Wang, Chenguang Li, Jiaqing Liang, Bin Liang, Wei Wang:
Hierarchical Conceptual Labeling. 230-234 - Luguo Xue, Minnan Luo, Zhen Peng, Jundong Li, Yan Chen, Jun Liu:
Anomaly Detection in Time-Evolving Attributed Networks. 235-239 - Nan Xu, Yanyan Shen, Yanmin Zhu:
A Multi-task Learning Framework for Automatic Early Detection of Alzheimer's. 240-243 - Xiangfu Meng, Xiaoyan Zhang, Lin Li, Quangui Zhang, Pan Li:
Top-k Spatial Keyword Quer with Typicality and Semantics. 244-248 - Yile Liang, Tieyun Qian, Huilin Yu:
Align Reviews with Topics in Attention Network for Rating Prediction. 249-253 - Mingtao Lei, Xi Zhang, Jincui Yang, Binxing Fang:
PSMSP: A Parallelized Sampling-Based Approach for Mining Top-k Sequential Patterns in Database Graphs. 254-258 - Yiming Cao, Lizhen Cui, Wei He:
Value-Oriented Ranking of Online Reviews Based on Reviewer-Influenced Graph. 259-263 - Bo Yao, Qianzheng Ji, Xiangdong Zhou, Yue Pang, Manliang Cao, Yixuan Wu, Zijing Tan:
Ancient Chinese Landscape Painting Composition Classification by Using Semantic Variational Autoencoder. 264-267 - Huaiyu Wan, Fuchen Li, Shengnan Guo, Zhong Cao, Youfang Lin:
Learning Time-Aware Distributed Representations of Locations from Spatio-Temporal Trajectories. 268-272 - Jie Huang, Chuan Chen, Fanghua Ye, Jiajing Wu, Zibin Zheng, Guohui Ling:
Hyper2vec: Biased Random Walk for Hyper-network Embedding. 273-277 - Lisong Wang, Zhenhai Hu, Liang Liu:
Privacy-Preserving and Dynamic Spatial Range Aggregation Query Processing in Wireless Sensor Networks. 278-281 - Bing Liu, Huan Gao, Guilin Qi, Shangfu Duan, Tianxing Wu, Meng Wang:
Adversarial Discriminative Denoising for Distant Supervision Relation Extraction. 282-286 - Weibo Hu, Chuan Chen, Fanghua Ye, Zibin Zheng, Guohui Ling:
Nonnegative Spectral Clustering for Large-Scale Semi-supervised Learning. 287-291 - Hye-Kyung Yang, Hwan-Seung Yong:
Distributed PARAFAC Decomposition Method Based on In-memory Big Data System. 292-295 - Ying Yang, Yu Gu, Chuanwen Li, Changyi Wan, Ge Yu:
GPU-Accelerated Dynamic Graph Coloring. 296-299 - Weixin Zeng, Xiang Zhao, Jiuyang Tang, Jinzhi Liao, Chang-Dong Wang:
Relevance-Based Entity Embedding. 300-304 - Pingfu Chao, Wen Hua, Xiaofang Zhou:
An Iterative Map-Trajectory Co-optimisation Framework Based on Map-Matching and Map Update. 305-309 - Chunyang Ruan, Ye Wang, Yanchun Zhang, Yun Yang:
Exploring Regularity in Traditional Chinese Medicine Clinical Data Using Heterogeneous Weighted Networks Embedding. 310-313 - Fang Hu, Xiuqi Huang, Xiaofeng Gao, Guihai Chen:
AGREE: Attention-Based Tour Group Recommendation with Multi-modal Data. 314-318 - Xin Liu, Xiao Liu, Yongxuan Lai, Fan Yang, Yifeng Zeng:
Random Decision DAG: An Entropy Based Compression Approach for Random Forest. 319-323 - Xiaoya Tang, Tieyun Qian, Zhenni You:
Generating Behavior Features for Cold-Start Spam Review Detection. 324-328 - Yibin Shen, Jiaxun Hua, Cheqing Jin, Dingjiang Huang:
TCL: Tensor-CNN-LSTM for Travel Time Prediction with Sparse Trajectory Data. 329-333 - Yuzheng Li, Chuan Chen, Fanghua Ye, Zibin Zheng, Guohui Ling:
A Semi-supervised Classification Approach for Multiple Time-Varying Networks with Total Variation. 334-337 - Karim Alami, Sofian Maabout:
Multidimensional Skylines over Streaming Data. 338-342 - Yue Xie, Jingjing Li, Mengmeng Jing, Ke Lu, Zi Huang:
A Domain Adaptation Approach for Multistream Classification. 343-347 - Piyush Paliwal, Oleksii Renov:
Gradient Boosting Censored Regression for Winning Price Prediction in Real-Time Bidding. 348-352 - Wenwei Liang, Wei Zhang, Xiaoling Wang:
Deep Sequential Multi-task Modeling for Next Check-in Time and Location Prediction. 353-357 - Zhong Zhang, Didi Kang, Chongming Gao, Junming Shao:
SemiSync: Semi-supervised Clustering by Synchronization. 358-362 - Xianchen Wang, Hongtao Liu, Peiyi Wang, Fangzhao Wu, Hongyan Xu, Wenjun Wang, Xing Xie:
Neural Review Rating Prediction with Hierarchical Attentions and Latent Factors. 363-367 - Kefeng Feng, Jiaye Wu, Peng Wang, Ningting Pan, Wei Wang:
MVS-match: An Efficient Subsequence Matching Approach Based on the Series Synopsis. 368-372 - Taofeng Xue, Beihong Jin, Beibei Li, Kunchi Liu, Qi Zhang, Sihua Tian:
Spatial-Temporal Recommendation for On-demand Cinemas. 373-377 - Xin Xu, Zeyu Huang, Jingyi Wu, Yanjie Fu, Na Luo, Weitong Chen, Jianan Wang, Minghao Yin:
Finding the Key Influences on the House Price by Finite Mixture Model Based on the Real Estate Data in Changchun. 378-382 - Xiaocui Li, Hongzhi Yin, Ke Zhou, Hongxu Chen, Shazia W. Sadiq, Xiaofang Zhou:
Semi-supervised Clustering with Deep Metric Learning. 383-386 - Long Li, Jingzhi Fang, Bowen Du, Weifeng Lv:
Spatial Bottleneck Minimum Task Assignment with Time-Delay. 387-391 - Lin Yue, Haonan Zhao, Yiqin Yang, Dongyuan Tian, Xiaowei Zhao, Minghao Yin:
A Mimic Learning Method for Disease Risk Prediction with Incomplete Initial Data. 392-396 - Lin Cheng, Yongjian Ren, Kun Zhang, Li Pan, Yuliang Shi:
Hospitalization Behavior Prediction Based on Attention and Time Adjustment Factors in Bidirectional LSTM. 397-401 - Bo Song, Yi Cao, Weike Pan, Congfu Xu:
Modeling Item Categories for Effective Recommendation. 402-405 - Tianming Zhang, Yunjun Gao, Congzheng Li, Congcong Ge, Wei Guo, Qiang Zhou:
Distributed Reachability Queries on Massive Graphs. 406-410 - Detian Zhang, An Liu, Gaoming Jin, Qing Li:
Edge-Based Shortest Path Caching in Road Networks. 411-414 - Yifang Sun, Shifeng Liu, Yufei Wang, Wei Wang:
Extracting Definitions and Hypernyms with a Two-Phase Framework. 415-419 - Xuewen Shi, Heyan Huang, Shuyang Zhao, Ping Jian, Yi-Kun Tang:
Tag Recommendation by Word-Level Tag Sequence Modeling. 420-424 - Jin-Tao Gao, Wenjie Liu, Zhanhuai Li, Hong-Tao Du, Ou-Ya Pei:
A New Statistics Collecting Method with Adaptive Strategy. 425-429 - Ya-Fei Liu, Jinmao Wei:
Word Sense Disambiguation with Massive Contextual Texts. 430-433 - Yeting Li, Chunmei Dong, Xinyu Chu, Haiming Chen:
Learning DMEs from Positive and Negative Examples. 434-438 - Qianhui Lu, Yunlai Xu, Runqi Yang, Ning Li, Chongjun Wang:
Serial and Parallel Recurrent Convolutional Neural Networks for Biomedical Named Entity Recognition. 439-443 - Bing Tian, Yong Zhang, Xinhuan Chen, Chunxiao Xing, Chao Li:
DRGAN: A GAN-Based Framework for Doctor Recommendation in Chinese On-Line QA Communities. 444-447 - Xiancheng Xie, Yun Xiong, Philip S. Yu, Kangan Li, Suhua Zhang, Yangyong Zhu:
Attention-Based Abnormal-Aware Fusion Network for Radiology Report Generation. 448-452 - Zhaorui Li, Yuanning Gao, Xiaofeng Gao, Guihai Chen:
LearningTour: A Machine Learning Approach for Tour Recommendation Based on Users' Historical Travel Experience. 453-456 - Zhaotong Guo, Bifan Wei, Jun Liu, Bei Wu:
TF-Miner: Topic-Specific Facet Mining by Label Propagation. 457-460 - Peng Cai, Jinwei Guo, Huan Zhou, Weining Qian, Aoying Zhou:
Fast Raft Replication for Transactional Database Systems over Unreliable Networks. 461-465 - Shuang Qiu, Zonghao Feng, Qiong Luo:
Parallelizing Big De Bruijn Graph Traversal for Genome Assembly on GPU Clusters. 466-470 - Zhiwei Zhang, Hao Wei, Jianliang Xu, Byron Choi:
GScan: Exploiting Sequential Scans for Subgraph Matching. 471-475 - Zhuhe Fang, Zeyu He, Jiajia Chu, Chuliang Weng:
SIMD Accelerates the Probe Phase of Star Joins in Main Memory Databases. 476-480 - Chenlu Shen, Deqing Yang, Yanghua Xiao:
A Deep Recommendation Model Incorporating Adaptive Knowledge-Based Representations. 481-486 - Chongming Gao, Shuai Yuan, Zhong Zhang, Hongzhi Yin, Junming Shao:
BLOMA: Explain Collaborative Filtering via Boosted Local Rank-One Matrix Approximation. 487-490 - Hengpeng Xu, Yao Zhang, Jinmao Wei, Zhenglu Yang, Jun Wang:
Spatiotemporal-Aware Region Recommendation with Deep Metric Learning. 491-494 - Xiangrui Cai, Yonghong Luo, Ying Zhang, Xiaojie Yuan:
On the Impact of the Length of Subword Vectors on Word Embeddings. 495-499 - Lei Zhan, Yan Yang, Pinpin Zhu, Liang He, Zhou Yu:
Using Dilated Residual Network to Model Distantly Supervised Relation Extraction. 500-504 - Xiangying Ran, Yuanyuan Pan, Wei Sun, Chongjun Wang:
Modeling More Globally: A Hierarchical Attention Network via Multi-Task Learning for Aspect-Based Sentiment Analysis. 505-509 - Xiaowang Zhang, Mingyue Zhang, Peng Peng, Jiaming Song, Zhiyong Feng, Lei Zou:
A Scalable Sparse Matrix-Based Join for SPARQL Query Processing. 510-514 - Masoomeh Zameni, Zahra Ghafoori, Amin Sadri, Christopher Leckie, Kotagiri Ramamohanarao:
Change Point Detection for Streaming High-Dimensional Time Series. 515-519
Demos
- Junye Yang, Yong Zhang, Jin Wang, Chunxiao Xing:
Distributed Query Engine for Multiple-Query Optimization over Data Stream. 523-527 - Guenter Hesse, Christoph Matthies, Werner Sinzig, Matthias Uflacker:
Adding Value by Combining Business and Sensor Data: An Industry 4.0 Use Case. 528-532 - Yuanzhe Chen, Jun Kuang, Dawei Cheng, Jianbin Zheng, Ming Gao, Aoying Zhou:
AgriKG: An Agricultural Knowledge Graph and Its Applications. 533-537 - Xin Wang, Qiang Fu, Jianqiang Mei, Jianxin Li, Yajun Yang:
KGVis: An Interactive Visual Query Language for Knowledge Graphs. 538-541 - Xujian Zhao, Xinnan Dai, Peiquan Jin, Hui Zhang, Chunming Yang, Bo Li:
OperaMiner: Extracting Character Relations from Opera Scripts Using Deep Neural Networks. 542-546 - Xin Wang, Yang Xu, Ruocheng Zhao, Junjie Lin, Huayi Zhan:
GparMiner: A System to Mine Graph Pattern Association Rules. 547-552 - Zhihui Wang, Yun Zhu, Xuchen Zhou:
A Data Publishing System Based on Privacy Preservation. 553-556 - Ashish Dandekar, Debabrota Basu, Thomas Kister, Geong Sen Poh, Jia Xu, Stéphane Bressan:
Privacy as a Service: Publishing Data and Models. 557-561 - Jiaye Liu, Jiali Mao, Yuntao Du, Lishen Zhao, Zhao Zhang:
Dynamic Bus Route Adjustment Based on Hot Bus Stop Pair Extraction. 562-566 - Zhongsheng Li, Qiuhong Li, Wei Wang, Yang Wang, Yimin Liu:
DHDSearch: A Framework for Batch Time Series Searching on MapReduce. 567-570 - Yilian Xin, Jiali Mao, Simin Yu, Minxi Li, Cheqing Jin:
Bus Stop Refinement Based on Hot Spot Extraction. 571-575 - Jixin Wang, Jinwei Guo, Huan Zhou, Peng Cai, Weining Qian:
Adaptive Transaction Scheduling for Highly Contended Workloads. 576-580 - Zhiyu Liang, Hongzhi Wang, Jianzhong Li, Hong Gao:
IMOptimizer: An Online Interactive Parameter Optimization System Based on Big Data. 581-584
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