ICDE Posters

Poster Session: ICDE Short paper posters and Industry posters will be on display during the ICDE Reception from 5:30-7:30PM on Wednesday, April 19th, 2017, and also during the 3:30PM-5:00PM session (along with the TKDE Posters).

[Note: This year, full research papers have also been invited to present posters--to enable further discussions with authors. Those posters will be on display during the afternoon sessions and before the banquet on Thursday, April 20th. Please check the schedule.]

ICDE Short Paper Posters
5:30PM-7:30PM, ICDE Reception & 3:30PM-5:00PM, Wednesday, April 19

  1. A Comparative Study of Log-Structured Merge-Tree-Based Spatial Indexes For Big Data, Young-Seok Kim, Taewoo Kim, Michael Carey and Chen Li
  2. A Distance Measure for the Analysis of Polar Opinion Dynamics in Social Networks, Victor Amelkin, Petko Bogdanov and Ambuj Singh
  3. ACTS: An Active Learning Method for Time Series Classification, Fengchao Peng, Qiong Luo and Lionel M. Ni
  4. Adaptive State Space Partitioning of Markov Decision Processes for Elastic Resource Management, Konstantinos Lolos, Ioannis Konstantinou, Verena Kantere and Nectarios Koziris
  5. Analyzing and Visualizing Scalar Fields on Graphs, Yang Zhang, Yusu Wang and Srinivasan Parthasarathy
  6. Answering Location-Aware Graph Reachability Queries on GeoSocial Data, Mohamed Sarwat and Yuhan Sun
  7. Clustering with Adaptive Manifold Structure Learning, Zhao Kang, Chong Peng and Qiang Cheng
  8. Correcting and Speeding-Up Bounds for Non-Uniform Graph Edit Distance, David B. Blumenthal and Johann Gamper
  9. Cross-Network Clustering and Cluster Ranking for Medical Diagnosis, Jingchao Ni, Hongliang Fei, Wei Fan and Xiang Zhang
  10. CrowdFusion: A Crowdsourced Approach on Data Fusion Refinement, Yunfan Chen, Lei Chen and Chen Zhang
  11. Direction-Aware Why-Not Spatial Keyword Top-k Queries, Lei Chen, Yafei Li, Jianliang Xu and Christian S. Jensen
  12. Distance-Aware Encoding of Numerical Values for Privacy-Preserving Record Linkage, Dimitrios Karapiperis, Aris Gkoulalas-Divanis and Vassilios Verykios
  13. Efficient Multistream Classification using Direct Density Ratio Estimation, Ahsanul Haque, Swarup Chandra, Latifur Khan, Kevin Hamlen and Charu Aggarwal
  14. Enterprise Community Detection, Jiawei Zhang, Philip S. Yu and Yuanhua Lv
  15. From Raw Footprints to Personal Interests: Bridging the Semantic Gap via Trip Intention Aggregation, Long Guo, Dongxiang Zhang, Huayu Wu, Bin Cui and Kian-Lee Tan
  16. FuseM: Query-centric Data Fusion on Structured Web Markup, Ran Yu, Ujwal Gadiraju, Besnik Fetahu and Stefan Dietze
  17. Integrative Dynamic Reconfiguration in a Parallel Stream Processing Engine, Kasper Grud Skat Madsen, Yongluan Zhou and Jianneng Cao
  18. IRanker: Query-Specific Ranking of Reviewed Items, Moloud Shahbazi, Matthew Wiley and Vagelis Hristidis
  19. Joint Gaussian Based Measures for Multiple-Instance Learning, Linfei Zhou, Claudia Plant and Christian Boehm
  20. K-Dominant Skyline Join Queries: Extending the Join Paradigm to K-Dominant Skylines, Anuradha Awasthi, Arnab Bhattacharya, Sanchit Gupta and Ujjwal Kumar Singh
  21. LTD-RBM: Robust and Fast Latent Truth Discovery Using Restricted Boltzmann Machines, Klaus Broelemann, Thomas Gottron and Gjergji Kasneci
  22. Mining Maximal Cliques on Dynamic Graphs Efficiently by Local Strategies, Shengli Sun, Yimo Wang, Weilong Liao and Wei Wang
  23. Mining Precise-positioning Episode Rules from Event Sequences, Xiang Ao, Ping Luo, Jin Wang, Fuzhen Zhuang and Qing He
  24. Mobi-SAGE: A Sparse Additive Generative Model for Mobile App Recommendation, Hongzhi Yin, Liang Chen, Weiqing Wang, Xingzhong Du, Quoc Viet Hung Nguyen and Xiaofang Zhou
  25. NetClus: A Scalable Framework for Locating Top-K Sites for Placement of Trajectory-Aware Services, Shubhadip Mitra, Priya Saraf, Richa Sharma, Arnab Bhattacharya, Sayan Ranu and Harsh Bhandari
  26. On Edge Classification in Networks with Structure and Content, Charu Aggarwal, Yao Li, Philip Yu and Yuchen Zhao
  27. Ontology- and Sentiment-aware Review Summarization, Nhat Le, Vagelis Hristidis and Neal Young
  28. Parallelizing Skip Lists for In-memory Multi-core Database Systems, Zhongle Xie, Qingchao Cai, H. V. Jagadish, Beng Chin Ooi and Weng-Fai Wong
  29. Preserving-Ignoring Transformation based Index for Approximate k Nearest Neighbor Search, Gang Hu, Jie Shao, Dongxiang Zhang, Yang Yang and Heng Tao Shen
  30. Query Optimizations over Decentralized RDF Graphs, Ibrahim Abdelaziz, Essam Mansour, Mourad Ouzzani, Ashraf Aboulnaga and Panos Kalnis
  31. Reverse Query-Aware Locality-Sensitive Hashing for High-Dimensional Furthest Neighbor Search, Qiang Huang, Jianlin Feng and Qiong Fang
  32. Sampling and Reconstruction Using Bloom Filters, Neha Sengupta, Amitabha Bagchi, Srikanta Bedathur and Maya Ramanath
  33. Scalable Processing of Massive Uncertain Graph Data: A Simultaneous Processing Approach, Zhaonian Zou, Faming Li, Jianzhong Li and Yingshu Li
  34. Scalable Top-K Structural Diversity Search, Lijun Chang, Chen Zhang, Xuemin Lin and Lu Qin
  35. Searching Time Series with Invariance to Large amounts of Uniform Scaling, Yilin Shen, Yanping Chen, Eamonn Keogh and Hongxia Jin
  36. Secure KNN Queries over Encrypted Data: Dimensionality is not Always a Curse, Xinyu Lei, Alex X. Liu and Rui Li
  37. SF-sketch: A Fast, Accurate, and Memory Efficient Data Structure to Store Frequencies of Data Items, Tong Yang, Lingtong Liu, Yibo Yan, Muhammad Shahzad, Yulong Shen, Xiaoming Li, Bin Cui and Gaogang Xie
  38. Skew-Resistant Graph Partitioning, Angen Zheng, Alexandros Labrinidis and Christos Faloutsos
  39. Top-k Frequent Items and Item Frequency Tracking over Sliding Windows of Any Sizes, Chunyao Song, Xuanming Liu and Tingjian Ge
  40. Trading Data in Good Faith: Integrating Truthfulness and Privacy Preservation in Data Markets, Chaoyue Niu, Zhenzhe Zheng, Fan Wu, Xiaofeng Gao and Guihai Chen

ICDE Industry Posters
5:30PM-7:30PM, ICDE Reception & 3:30PM-5:00PM, Wednesday, April 19

  1. Improving Predictable Shared-Disk Clusters Performance for Database Clouds, Anjan Kumar Amirishetty, Yunrui Li, Tolga Yurek, Mahesh Girkar, Wilson Chan and Graham Ivey
  2. DeepSD: Supply-Demand Prediction for Online Car-hailing Services using Deep Neural Networks, Dong Wang, Wei Cao, Jian Li and Jieping Ye
  3. Dynamic Statistics Collection in the Teradata Unified Data Architecture, Sung Jin Kim, Mohammed Al-Kateb, Paul Sinclair, Alain Crolotte, Chengyang Zhang and Linda Rose
  4. Hot or not? Forecasting cellular network hot spots using sector performance indicators, Joan Serrà, Ilias Leontiadis, Alexandros Karatzoglou and Konstantina Papagiannaki
  5. Joint User-Entity Representation Learning for Event Recommendation in Social Network, Lijun Tang and Eric Yi Liu
  6. TencentBoost: A Gradient Boosting Tree System with Parameter Server, Jie Jiang, Jiawei Jiang, Bin Cui and Ce Zhang
  7. SSD-assisted Backup and Recovery for Database Systems, Yongseok Son, Jaeyoon Choi, Jekyeom Jeon, Cheolgi Min, Sunggon Kim, Heon Young Yeom and Hyuck Han
  8. The good, the bad, and the KPIs: how to combine performance metrics to better capture underperforming sectors in mobile networks, Ilias Leontiadis, Joan Serra, Alessandro Finamore, Giorgos Dimopoulos and Konstantina Papagiannaki
  9. Too Big to Eat: Boosting Analytics Data Ingestion from Object Stores with Scoop, Yosef Moatti, Eran Rom, Ra ́ul Gracia-Tinedo, Dalit Naor, Doron Chen, Josep Sampe, Marc Sanchez-Artigas, Pedro Garcia-Lopez, Filip Gluszak, Eric Deschodt, Francesco Pace, Daniele Venzano, and Pietro Michiardi