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APWeb/WAIM 2019: Chengdu, China
- Jie Shao, Man Lung Yiu, Masashi Toyoda, Dongxiang Zhang, Wei Wang, Bin Cui:
Web and Big Data - Third International Joint Conference, APWeb-WAIM 2019, Chengdu, China, August 1-3, 2019, Proceedings, Part I. Lecture Notes in Computer Science 11641, Springer 2019, ISBN 978-3-030-26071-2
Big Data Analytic
- Yu Liu, Yangtao Wang, Ke Zhou, Yujuan Yang, Yifei Liu, Jingkuan Song, Zhili Xiao:
A Framework for Image Dark Data Assessment. 3-18 - Lin Cheng, Yongjian Ren, Kun Zhang, Yuliang Shi:
Medical Treatment Migration Prediction in Healthcare via Attention-Based Bidirectional GRU. 19-34 - Yuecan Liu, Kun Zhang, Shuai Zhen, Yongming Guan, Yuliang Shi:
WRL: A Combined Model for Short-Term Load Forecasting. 35-42
Data and Information Quality
- Shuangli Shan, Zhixu Li, Qiang Yang, An Liu, Jiajie Xu, Zhigang Chen:
DeepAM: Deep Semantic Address Representation for Address Matching. 45-60 - Yongnan Liu, Jianzhong Li:
Drawing CoCo Core-Sets from Incomplete Relational Data. 61-76 - Zihao Wang, Yong Zhang, Chunxiao Xing:
Reducing Wrong Labels for Distant Supervision Relation Extraction with Selective Capsule Network. 77-92
Data Mining and Application
- Jianan Zhao, Ding Xiao, Linmei Hu, Chuan Shi:
Coupled Semi-supervised Clustering: Exploring Attribute Correlations in Heterogeneous Information Networks. 95-109 - Jingxin Xu, Kai Han, Pingping Song, Chaoting Xu, Fei Gui:
PrivBUD-Wise: Differentially Private Frequent Itemsets Mining in High-Dimensional Databases. 110-124 - Shan Tian, Ping Zhang, Songsong Mo, Liwei Wang, Zhiyong Peng:
A Learning Approach for Topic-Aware Influence Maximization. 125-140 - Nan Hu, Jianyun Zhou, Xiaojun Wan:
DeepDial: Passage Completion on Dialogs. 141-155 - Yongjian Ren, Kun Zhang, Yuliang Shi:
A Survival Certification Model Based on Active Learning over Medical Insurance Data. 156-170 - Liang Ge, Aoli Zhou, Junling Liu, Hang Li:
A Novel Approach for Air Quality Inference and Prediction Based on DBU-LSTM. 171-186 - Tong Liu, Weijian Ni, Qingtian Zeng, Nengfu Xie:
Predictive Role Discovery of Research Teams Using Ordinal Factorization Machines. 187-195 - Zhabiz Gharibshah, Xingquan Zhu, Arthur Hainline, Michael Conway:
Deep Learning for Online Display Advertising User Clicks and Interests Prediction. 196-204
Graph Data and Social Networks
- Qian Chen, Hongyi Su, Jiamou Liu, Bo Yan, Hong Zheng, He Zhao:
In Pursuit of Social Capital: Upgrading Social Circle Through Edge Rewiring. 207-222 - Mingdao Li, Peng Peng, Yang Xu, Hao Xia, Zheng Qin:
Distributed Landmark Selection for Lower Bound Estimation of Distances in Large Graphs. 223-239 - Yongyue Sun, Qingyun Wang, Hongyan Li:
AERIAL: An Efficient Randomized Incentive-Based Influence Maximization Algorithm. 240-254 - Yadi Chen, Wen Bai, Runyuan Chen, Di Wu, Guoqiao Ye, Zhichuan Huang:
Cider: Highly Efficient Processing of Densely Overlapped Communities in Big Graphs. 255-263 - Yong Liu, Zitu Liu, Shengnan Xie, Xiaokun Li:
Time Optimal Profit Maximization in a Social Network. 264-272 - Kaiqiang Yu, Yu Gu, Shuo Yao, Zhen Song, Ge Yu:
Iterative Hypergraph Computation Based on Hyperedge-Connected Graphs. 273-280 - Zhaokun Zhang, Ning Yang, Philip S. Yu:
How to Reach: Discovering Multi-resolution Paths on Large Scale Networks. 281-288 - Yangtao Wang, Yu Liu, Yifei Liu, Ke Zhou, Yujuan Yang, Jiangfeng Zeng, Xiaodong Xu, Zhili Xiao:
Analysis and Management to Hash-Based Graph and Rank. 289-296
Information Extraction and Retrieval
- Junhao Li, Mizuho Iwaihara:
Two-Encoder Pointer-Generator Network for Summarizing Segments of Long Articles. 299-313 - Renjun Chi, Bin Wu, Linmei Hu, Yunlei Zhang:
Enhancing Joint Entity and Relation Extraction with Language Modeling and Hierarchical Attention. 314-328 - Maolong Li, Qiang Yang, Fuzhen He, Zhixu Li, Pengpeng Zhao, Lei Zhao, Zhigang Chen:
An Unsupervised Learning Approach for NER Based on Online Encyclopedia. 329-344 - Rong Yan, Guanglai Gao:
Pseudo Topic Analysis for Boosting Pseudo Relevance Feedback. 345-361
Knowledge Graph
- Peihao Tong, Junjie Yao, Linzi He, Liang Xu:
Leveraging Domain Context for Question Answering over Knowledge Graph. 365-381 - Yashen Wang, Yifeng Liu, Huanhuan Zhang, Haiyong Xie:
Leveraging Lexical Semantic Information for Learning Concept-Based Multiple Embedding Representations for Knowledge Graph Completion. 382-397 - Lele Chai, Xin Wang, Baozhu Liu, Yajun Yang:
Efficient Distributed Knowledge Representation Learning for Large Knowledge Graphs. 398-413 - Yongpan Sheng, Zenglin Xu:
Coherence and Salience-Based Multi-Document Relationship Mining. 414-430
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