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ORCID35th ICDE 2019: Macao, China - Workshops
- 35th IEEE International Conference on Data Engineering Workshops, ICDE Workshops 2019, Macao, China, April 8-12, 2019. IEEE 2019, ISBN 978-1-7281-0890-2
International Workshop on Blockchain and Data Management (BlockDM)
Session I: Security and Privacy
- Zhe Peng
, Haotian Wu, Bin Xiao, Songtao Guo:
VQL: Providing Query Efficiency and Data Authenticity in Blockchain Systems. 1-6 - Chao Li, Balaji Palanisamy, Runhua Xu:
Scalable and Privacy-Preserving Design of On/Off-Chain Smart Contracts. 7-12 - Bing Liu, Yang Qin, Xiaowen Chu:
Reducing Forks in the Blockchain via Probabilistic Verification. 13-18
Session II: Data and Application
- Alan G. Labouseur, Carolyn C. Matheus:
Dynamic Data Quality for Static Blockchains. 19-21 - Chunmiao Li, Yang Cao, Zhenjiang Hu, Masatoshi Yoshikawa:
Blockchain-Based Bidirectional Updates on Fine-Grained Medical Data. 22-27 - Furqan Baig, Fusheng Wang:
Blockchain Enabled Distributed Data Management - A Vision. 28-30 - Dominik Schmelz, Karl Pinter, Stefan Strobl, Lei Zhu, Phillip Niemeier, Thomas Grechenig:
Technical Mechanics of a Trans-Border Waste Flow Tracking Solution Based on Blockchain Technology. 31-36
International Workshop on Data - Driven Smart Cities (DASC 2019)
- Hassan Mehmood, Ekaterina Gilman, Marta Cortés, Panos Kostakos, Andrew Byrne, Katerina Valta, Stavros Tekes, Jukka Riekki:
Implementing Big Data Lake for Heterogeneous Data Sources. 37-44 - Seon Ho Kim, Abdullah Alfarrarjeh, George Constantinou, Cyrus Shahabi:
TVDP: Translational Visual Data Platform for Smart Cities. 45-52 - Elkhan Shahverdi, Ahmed Awad, Sherif Sakr:
Big Stream Processing Systems: An Experimental Evaluation. 53-60 - Tong Li, Ahmad Yousef Alhilal, Anlan Zhang, Mohammad Ashraful Hoque, Dimitris Chatzopoulos, Zhu Xiao, Yong Li, Pan Hui:
Driving Big Data: A First Look at Driving Behavior via a Large-Scale Private Car Dataset. 61-68 - Ziang Zhao, Yunfan Kang, Amr Magdy, Win Cowger, Andrew B. Gray:
A Data-Driven Approach for Tracking Human Litter in Modern Cities. 69-73 - Debajyoti Pal, Tuul Triyason, Vijayakumar Varadarajan, Xiangmin Zhang:
Quality of Experience Evaluation of Smart-Wearables: A Mathematical Modelling Approach. 74-80
Data Engineering Meets Intelligent Food and COoking Recipes (DECOR)
- Madhu Kumari, Tajinder Singh:
Food Image to Cooking Instructions Conversion Through Compressed Embeddings Using Deep Learning. 81-84 - Rudraksh Tuwani, Nutan Sahoo, Navjot Singh, Ganesh Bagler:
Computational Models for the Evolution of World Cuisines. 85-90 - Angela Chang, Jieyi Hu, Yichao Liu, Matthew Tingchi Liu:
Data Mining Approach to Chinese Food Analysis for Diet-Related Cardiometabolic Diseases. 91-95 - Nilesh Nilesh, Madhu Kumari, Pritom Hazarika, Vishal Raman:
Recommendation of Indian Cuisine Recipes Based on Ingredients. 96-99
International Workshop on Self-Managing Database Systems (SMDB)
Session 1: Self-Managing Frameworks
- Jan Kossmann, Rainer Schlosser:
A Framework for Self-Managing Database Systems. 100-106 - Michael A. Georgiou, Aristodemos Paphitis, Michael Sirivianos, Herodotos Herodotou:
Towards Auto-Scaling Existing Transactional Databases with Strong Consistency. 107-112 - Joseph W. Hu, Ivan T. Bowman, Anisoara Nica, Anil K. Goel:
Distribution-Driven, Embedded Synthetic Data Generation System and Tool for RDBMS. 113-115
Session 2: Keynote 1
- Jingren Zhou:
Towards self-managing cloud-scale computing platforms: Experiences and challenges. 116
Session 3: Machine Learning Driven Self-Managing
- Hani Al-Sayeh, Kai-Uwe Sattler:
Gray Box Modeling Methodology for Runtime Prediction of Apache Spark Jobs. 117-124 - Mayuresh Kunjir:
Guided Bayesian Optimization to AutoTune Memory-Based Analytics. 125-132 - Herodotos Herodotou:
AutoCache: Employing Machine Learning to Automate Caching in Distributed File Systems. 133-139
Session 4: Keynote 2
- David B. Lomet:
Cost/Performance in Modern Data Stores: How Data Caching Systems Succeed. 140
International Workshop on Recommender Systems with Big Data (RSDB)
Session 2: Representation Learning for Recommendation
- Yifan Chen, Xiang Zhao, Jinyuan Liu, Bin Ge, Weiming Zhang:
Learning to Select User-Specific Features for Top-N Recommendation of New Items. 141-147 - Jia Du, Lin Li, Peng Gu, Qing Xie:
A Group Recommendation Approach Based on Neural Network Collaborative Filtering. 148-154 - Zongxi Li, Haoran Xie, Yingchao Zhao, Qing Li:
Incorporating Latent Space Correlation Coefficients to Collaborative Filtering. 155-160
Session 3: Deep Neural Networks for Recommendation
- Yuzhen Tong, Yadan Luo, Zheng Zhang, Shazia Sadiq, Peng Cui:
Collaborative Generative Adversarial Network for Recommendation Systems. 161-168 - Jialing Song:
Distilling Knowledge from User Information for Document Level Sentiment Classification. 169-176 - Yang Li, Yadan Luo, Zheng Zhang, Shazia Sadiq, Peng Cui:
Context-Aware Attention-Based Data Augmentation for POI Recommendation. 177-184 - Yunghui Chu, Hui-Kuo Yang, Wen-Chih Peng:
Predicting Online User Purchase Behavior Based on Browsing History. 185-192
Session 5: New Aspects in Recommender Systems and Information Retrieval
- Anas Alzogbi, Polina Koleva, Georg Lausen:
Towards Distributed Multi-model Learning on Apache Spark for Model-Based Recommender. 193-200 - Lei Li, Ruihai Dong, Li Chen:
Context-Aware Co-attention Neural Network for Service Recommendations. 201-208 - Yu Mao, Haiqing Du, Yong Liu:
Semantic Parsing and Attentive Feature-Temporal Pooling Network for Video-Based Person Image Retrieval. 209-216
International Workshop on Large Scale Graph Data Analytics (LSGDA)
Session I: Graph & Algorithms
- Arkaprava Saha, Neha Sengupta, Maya Ramanath:
Reachability in Large Graphs Using Bloom Filters. 217-224 - Lin Hu, Naiqing Guan, Lei Zou:
Triangle Counting on GPU Using Fine-Grained Task Distribution. 225-232 - Ran Wang, Yixiang Fang, Xing Feng:
Efficient Parallel Computing of Graph Edit Distance. 233-240 - Xin Jin, Longbin Lai:
MPMatch: A Multi-core Parallel Subgraph Matching Algorithm. 241-248
Session II: Graph & Applications
- Chaoqun Yang, Yuanyuan Zhu, Ming Zhong, Rongrong Li:
Semantic Similarity Computation in Knowledge Graphs: Comparisons and Improvements. 249-252 - Bin Yang, Haiwei Pan, Jieyao Yu, Kun Han, Yanan Wang:
Classification of Medical Images with Synergic Graph Convolutional Networks. 253-258 - Wanqi Liu, Dong Wen, Hanchen Wang, Fan Zhang, Xubo Wang:
Skyline Nearest Neighbor Search on Multi-layer Graphs. 259-265 - Zhengmin Lai, Zhengyi Yang, Longbin Lai:
Improving Distribued Subgraph Matching Algorithm on Timely Dataflow. 266-273
Session III: Social Networks
- Monica Senapati, Laurent Njilla, Praveen Rao:
A Method for Scalable First-Order Rule Learning on Twitter Data. 274-277 - Indraneil Paul, Abhinav Khattar, Ponnurangam Kumaraguru, Manish Gupta, Shaan Chopra:
Elites Tweet? Characterizing the Twitter Verified User Network. 278-285 - Xin Ju, Xiaofeng Zhang, William K. Cheung:
Generating Synthetic Graphs for Large Sensitive and Correlated Social Networks. 286-293
International Workshop on Big Data Management on Emerging Hardware / Workshop on Data Management on Virtualized Active Systems (HardDB & Active)
- Johns Paul, Bingsheng He, Shengliang Lu, Chiew Tong Lau:
Revisiting Hash Join on Graphics Processors: A Decade Later. 294-299 - Jihang Liu, Shimin Chen:
Initial Experience with 3D XPoint Main Memory. 300-305
International Workshop on Indexing and Retrieval for Multimedia Database (IRMD)
- Jieyao Yu, Haiwei Pan, Qi Yin, Xiaofei Bian, Qianna Cui:
Fully Convolutional DenseNets for Polyp Segmentation in Colonoscopy. 306-311 - Yongxin Wang, Xin Luo, Huaxiang Zhang, Xin-Shun Xu:
Sparse Manifold Embedded Hashing for Multimedia Retrieval. 312-318 - Keyang Cheng, Muhammad Saddam Khokhar, Yunbo Rao, Rabia Tahir:
Multi-camera Background and Scene Activity Modelling Based on Spearman Correlation Analysis and Inception-V3 Network. 319-325 - Yunbo Rao, Wei Liu, Jiansu Pu, Zheng Wang, Qifei Wang:
Large-Scale Image Search using Region Division. 326-330 - Shivam Gaur:
Generation of a Short Narrative Caption for an Image Using the Suggested Hashtag. 331-337
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