Database Systems for Advanced Applications

1. Front Matter

   Pages I-XXIV

   PDF

2. Network Embedding

   1. Front Matter

      Pages 1-1

      PDF

   2. Enhancing Network Embedding with Auxiliary Information: An Explicit Matrix Factorization Perspective

      • Junliang Guo, Linli Xu, Xunpeng Huang, Enhong Chen

      Pages 3-19

   3. Attributed Network Embedding with Micro-meso Structure

      • Juan-Hui Li, Chang-Dong Wang, Ling Huang, Dong Huang, Jian-Huang Lai, Pei Chen

      Pages 20-36

   4. An Efficient Exact Nearest Neighbor Search by Compounded Embedding

      • Mingjie Li, Ying Zhang, Yifang Sun, Wei Wang, Ivor W. Tsang, Xuemin Lin

      Pages 37-54

   5. BASSI: Balance and Status Combined Signed Network Embedding

      • Yiqi Chen, Tieyun Qian, Ming Zhong, Xuhui Li

      Pages 55-63

3. Recommendation

   1. Front Matter

      Pages 65-65

      PDF

   2. Geographical Relevance Model for Long Tail Point-of-Interest Recommendation

      • Wei Liu, Zhi-Jie Wang, Bin Yao, Mengdie Nie, Jing Wang, Rui Mao et al.

      Pages 67-82

   3. Exploiting Context Graph Attention for POI Recommendation in Location-Based Social Networks

      • Siyuan Zhang, Hong Cheng

      Pages 83-99

   4. Restricted Boltzmann Machine Based Active Learning for Sparse Recommendation

      • Weiqing Wang, Hongzhi Yin, Zi Huang, Xiaoshuai Sun, Nguyen Quoc Viet Hung

      Pages 100-115

   5. Discrete Binary Hashing Towards Efficient Fashion Recommendation

      • Luyao Liu, Xingzhong Du, Lei Zhu, Fumin Shen, Zi Huang

      Pages 116-132

   6. Learning Dual Preferences with Non-negative Matrix Tri-Factorization for Top-N Recommender System

      • Xiangsheng Li, Yanghui Rao, Haoran Xie, Yufu Chen, Raymond Y. K. Lau, Fu Lee Wang et al.

      Pages 133-149

   7. Low-Rank and Sparse Cross-Domain Recommendation Algorithm

      • Zhi-Lin Zhao, Ling Huang, Chang-Dong Wang, Dong Huang

      Pages 150-157

   8. Cross-Domain Recommendation for Cold-Start Users via Neighborhood Based Feature Mapping

      • Xinghua Wang, Zhaohui Peng, Senzhang Wang, Philip S. Yu, Wenjing Fu, Xiaoguang Hong

      Pages 158-165

4. Graph and Network Data Processing

   1. Front Matter

      Pages 167-167

      PDF

   2. K-Connected Cores Computation in Large Dual Networks

      • Lingxi Yue, Dong Wen, Lizhen Cui, Lu Qin, Yongqing Zheng

      Pages 169-186

   3. Graph Clustering with Local Density-Cut

      • Junming Shao, Qinli Yang, Zhong Zhang, Jinhu Liu, Stefan Kramer

      Pages 187-202

   4. External Topological Sorting in Large Graphs

      • Zhu Qing, Long Yuan, Fan Zhang, Lu Qin, Xuemin Lin, Wenjie Zhang

      Pages 203-220

   5. Finding All Nearest Neighbors with a Single Graph Traversal

      • Yixin Xu, Jianzhong Qi, Renata Borovica-Gajic, Lars Kulik

      Pages 221-238

   6. Towards Efficient Path Skyline Computation in Bicriteria Networks

      • Dian Ouyang, Long Yuan, Fan Zhang, Lu Qin, Xuemin Lin

      Pages 239-254

This two-volume set LNCS 10827 and LNCS 10828 constitutes the refereed proceedings of the 23rd International Conference on Database Systems for Advanced Applications, DASFAA 2018, held in Gold Coast, QLD, Australia, in May 2018.


The 83 full papers, 21 short papers, 6 industry papers, and 8 demo papers were carefully selected from a total of 360 submissions. The papers are organized around the following topics: network embedding; recommendation; graph and network processing; social network analytics; sequence and temporal data processing; trajectory and streaming data; RDF and knowledge graphs; text and data mining; medical data mining; security and privacy; search and information retrieval; query processing and optimizations; data quality and crowdsourcing; learning models; multimedia data processing; and distributed computing.   

• artificial intelligence
• computational linguistics
• computer networks
• data mining
• data security
• image segmentation
• internet
• learning algorithms
• mobile devices
• neural networks
• privacy
• query processing
• recommender systems
• search engines
• signal processing
• social networking
• Support Vector Machines (SVM)
• telecommunication networks
• world wide web

• Simon Fraser University, Burnaby, Canada

  Jian Pei

• Aristotle University of Thessaloniki, Thessaloniki, Greece

  Yannis Manolopoulos

• University of Queensland, Brisbane, Australia

  Shazia Sadiq

• University of Western Australia, Crawley, Australia

  Jianxin Li

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