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ORCID33rd ICDE 2017: San Diego, CA, USA
- 33rd IEEE International Conference on Data Engineering, ICDE 2017, San Diego, CA, USA, April 19-22, 2017. IEEE Computer Society 2017, ISBN 978-1-5090-6543-1
Keynotes
- Volker Markl:
Mosaics: Stratosphere, Flink and Beyond. 3 - Laura M. Haas:
Leveraging Data and People to Accelerate Data Science. 4
TKDE Posters
- Wentao Wu, Hongsong Li, Haixun Wang, Kenny Q. Zhu:
Semantic Bootstrapping: A Theoretical Perspective. 7-8 - Gang Hu, Jie Shao, Fenglin Liu, Yuan Wang, Heng Tao Shen:
IF-Matching: Towards Accurate Map-Matching with Information Fusion. 9-10 - Qi Zhang, Yang Wang, Jin Qian, Binbin Deng, Xuanjing Huang:
A Mixed Generative-Discriminative Based Hashing Method. 11-12 - Yung-Chun Chang, Chien Chin Chen
, Wen-Lian Hsu:
SPIRIT: A Tree Kernel-Based Method for Topic Person Interaction Detection (Extended Abstract). 13-14 - Ying Zhang, Yu-Ling Hsueh, Wang-Chien Lee, Yi-Hao Jhang:
Efficient Cache-Supported Path Planning on Roads (Extended Abstract). 15-16 - Jianxin Li, Chengfei Liu, Jeffrey Xu Yu, Yi Chen, Timos Sellis, J. Shane Culpepper:
Personalized Influential Topic Search via Social Network Summarization. 17-18 - Jun Chen, Chaokun Wang, Jianmin Wang, Philip S. Yu:
Recommendation for Repeat Consumption from User Implicit Feedback. 19-20 - Meng Wang, Hui Li, Jiangtao Cui, Ke Deng, Sourav S. Bhowmick, Zhenhua Dong:
PINOCCHIO: Probabilistic Influence-Based Location Selection over Moving Objects. 21-22 - Zeyuan Shang, Yaxiao Liu, Guoliang Li, Jianhua Feng:
K-Join: Knowledge-Aware Similarity Join. 23-24 - Feng Tian, Tian Lan, Qinghua Zheng, Kuo-Ming Chao, Nick Godwin, Nazaraf Shah, Fan Zhang:
Mining Suspicious Tax Evasion Groups in Big Data. 25-26 - Long Guo, Dongxiang Zhang, Gao Cong, Wei Wu, Kian-Lee Tan:
Influence Maximization in Trajectory Databases. 27-28 - Chenyun Yu, Sarana Nutanong, Hangyu Li, Cong Wang, Xingliang Yuan:
A Generic Method for Accelerating LSH-Based Similarity Join Processing (Extended Abstract). 29-30 - Yu Gu, Guanli Liu, Jianzhong Qi, Hongfei Xu, Ge Yu, Rui Zhang:
The Moving K Diversified Nearest Neighbor Query. 31-32 - Binbin Gu, Zhixu Li, Xiangliang Zhang, An Liu, Guanfeng Liu, Kai Zheng, Lei Zhao, Xiaofang Zhou:
The Interaction Between Schema Matching and Record Matching in Data Integration (Extended Abstract). 33-34 - Dixin Luo, Hongteng Xu, Yi Zhen, Bistra Dilkina, Hongyuan Zha, Xiaokang Yang, Wenjun Zhang:
Learning Mixtures of Markov Chains from Aggregate Data with Structural Constraints (Extended Abstract). 35-36 - Hongteng Xu, Weichang Wu, Shamim Nemati, Hongyuan Zha:
Patient Flow Prediction via Discriminative Learning of Mutually-Correcting Processes (Extended Abstract). 37-38 - Guoliang Li, Jiannan Wang, Yudian Zheng, Michael J. Franklin:
Crowdsourced Data Management: A Survey. 39-40 - Cheng Chen, Lan Zheng, Venkatesh Srinivasan, Alex Thomo, Kui Wu, Anthony Sukow:
Conflict-Aware Weighted Bipartite b-Matching and Its Application to E-Commerce. 41-42 - Xinpeng Zhang, Yasuhito Asano, Masatoshi Yoshikawa:
Mutually Beneficial Confluent Routing. 43-44 - Bo Tang, Man Lung Yiu, Kien A. Hua:
Exploit Every Bit: Effective Caching for High-Dimensional Nearest Neighbor Search. 45-46 - Sreevani, C. A. Murthy:
Bridging Feature Selection and Extraction: Compound Feature Generation (Extended Abstract). 47-48 - Shuang Hao, Nan Tang, Guoliang Li, Jian He, Na Ta, Jianhua Feng:
A Novel Cost-Based Model for Data Repairing. 49-50 - Mahsa Salehi, Christopher Leckie, James C. Bezdek, Tharshan Vaithianathan, Xuyun Zhang:
Fast Memory Efficient Local Outlier Detection in Data Streams (Extended Abstract). 51-52 - Yunjun Gao, Qing Liu, Gang Chen, Linlin Zhou, Baihua Zheng:
Finding Causality and Responsibility for Probabilistic Reverse Skyline Query Non-Answers. 53-54 - Xiaoyang Wang, Ying Zhang, Wenjie Zhang, Xuemin Lin, Chen Chen:
Bring Order into the Samples: A Novel Scalable Method for Influence Maximization (Extended Abstract). 55-56 - Linhong Zhu, Dong Guo, Junming Yin, Greg Ver Steeg, Aram Galstyan:
Scalable Temporal Latent Space Inference for Link Prediction in Dynamic Social Networks (Extended Abstract). 57-58 - Shuo Shang, Lisi Chen, Zhewei Wei, Christian S. Jensen, Ji-Rong Wen, Panos Kalnis:
Collective Travel Planning in Spatial Networks. 59-60 - Shuai Ma, Kaiyu Feng, Jianxin Li, Haixun Wang, Gao Cong, Jinpeng Huai:
Proxies for Shortest Path and Distance Queries. 61-62 - Guillaume Bagan, Angela Bonifati, Radu Ciucanu, George H. L. Fletcher, Aurélien Lemay, Nicky Advokaat:
gMark: Schema-Driven Generation of Graphs and Queries. 63-64 - Yoones A. Sekhavat, Jeffrey Parsons:
SEDEX: Scalable Entity Preserving Data Exchange. 65-66 - Yanfeng Zhang, Shimin Chen, Ge Yu:
Efficient Distributed Density Peaks for Clustering Large Data Sets in MapReduce. 67-68 - Junbeom Hur, Dongyoung Koo, Young-joo Shin, Kyungtae Kang:
Secure Data Deduplication with Dynamic Ownership Management in Cloud Storage. 69-70 - Libin Zheng, Lei Chen:
Maximizing Acceptance in Rejection-aware Spatial Crowdsourcing. 71-72
ICDE Short Paper Posters
- Hongzhi Yin, Liang Chen, Weiqing Wang, Xingzhong Du, Nguyen Quoc Viet Hung, Xiaofang Zhou:
Mobi-SAGE: A Sparse Additive Generative Model for Mobile App Recommendation. 75-78 - Zhao Kang, Chong Peng, Qiang Cheng:
Clustering with Adaptive Manifold Structure Learning. 79-82 - Xiang Ao, Ping Luo, Jin Wang, Fuzhen Zhuang, Qing He:
Mining Precise-Positioning Episode Rules from Event Sequences. 83-86 - Shubhadip Mitra, Priya Saraf, Richa Sharma, Arnab Bhattacharya, Sayan Ranu, Harsh Bhandari:
NetClus: A Scalable Framework for Locating Top-K Sites for Placement of Trajectory-Aware Services. 87-90 - Gang Hu, Jie Shao, Dongxiang Zhang, Yang Yang, Heng Tao Shen:
Preserving-Ignoring Transformation Based Index for Approximate k Nearest Neighbor Search. 91-94 - Lijun Chang, Chen Zhang, Xuemin Lin, Lu Qin:
Scalable Top-K Structural Diversity Search. 95-98 - Anuradha Awasthi, Arnab Bhattacharya, Sanchit Gupta, Ujjwal Kumar Singh:
K-Dominant Skyline Join Queries: Extending the Join Paradigm to K-Dominant Skylines. 99-102 - Tong Yang, Lingtong Liu, Yibo Yan, Muhammad Shahzad, Yulong Shen, Xiaoming Li, Bin Cui, Gaogang Xie:
SF-sketch: A Fast, Accurate, and Memory Efficient Data Structure to Store Frequencies of Data Items. 103-106 - Lei Chen, Yafei Li, Jianliang Xu, Christian S. Jensen:
Direction-Aware Why-Not Spatial Keyword Top-k Queries. 107-110 - Yilin Shen, Yanping Chen, Eamonn J. Keogh, Hongxia Jin:
Searching Time Series with Invariance to Large Amounts of Uniform Scaling. 111-114 - Shengli Sun, Yimo Wang, Weilong Liao, Wei Wang:
Mining Maximal Cliques on Dynamic Graphs Efficiently by Local Strategies. 115-118 - Zhongle Xie, Qingchao Cai, H. V. Jagadish, Beng Chin Ooi, Weng-Fai Wong:
Parallelizing Skip Lists for In-Memory Multi-Core Database Systems. 119-122 - Long Guo, Dongxiang Zhang, Huayu Wu, Bin Cui, Kian-Lee Tan:
From Raw Footprints to Personal Interests: Bridging the Semantic Gap via Trip Intention Aggregation. 123-126 - Yunfan Chen, Lei Chen, Chen Jason Zhang:
CrowdFusion: A Crowdsourced Approach on Data Fusion Refinement. 127-130 - David B. Blumenthal, Johann Gamper:
Correcting and Speeding-Up Bounds for Non-Uniform Graph Edit Distance. 131-134 - Dimitrios Karapiperis, Aris Gkoulalas-Divanis, Vassilios S. Verykios:
Distance-Aware Encoding of Numerical Values for Privacy-Preserving Record Linkage. 135-138 - Ibrahim Abdelaziz, Essam Mansour, Mourad Ouzzani, Ashraf Aboulnaga, Panos Kalnis:
Query Optimizations over Decentralized RDF Graphs. 139-142 - Klaus Broelemann, Thomas Gottron, Gjergji Kasneci:
LTD-RBM: Robust and Fast Latent Truth Discovery Using Restricted Boltzmann Machines. 143-146 - Young-Seok Kim, Taewoo Kim, Michael J. Carey, Chen Li:
A Comparative Study of Log-Structured Merge-Tree-Based Spatial Indexes for Big Data. 147-150 - Angen Zheng, Alexandros Labrinidis, Christos Faloutsos:
Skew-Resistant Graph Partitioning. 151-154 - Ahsanul Haque, Swarup Chandra, Latifur Khan, Kevin W. Hamlen, Charu C. Aggarwal:
Efficient Multistream Classification Using Direct Density Ratio Estimation. 155-158 - Victor Amelkin, Petko Bogdanov, Ambuj K. Singh:
A Distance Measure for the Analysis of Polar Opinion Dynamics in Social Networks. 159-162 - Jingchao Ni, Hongliang Fei, Wei Fan, Xiang Zhang:
Cross-Network Clustering and Cluster Ranking for Medical Diagnosis. 163-166 - Qiang Huang, Jianlin Feng, Qiong Fang:
Reverse Query-Aware Locality-Sensitive Hashing for High-Dimensional Furthest Neighbor Search. 167-170 - Nhat X. T. Le, Vagelis Hristidis, Neal E. Young:
Ontology- and Sentiment-Aware Review Summarization. 171-174 - Fengchao Peng, Qiong Luo, Lionel M. Ni:
ACTS: An Active Learning Method for Time Series Classification. 175-178 - Ran Yu, Ujwal Gadiraju, Besnik Fetahu, Stefan Dietze:
FuseM: Query-Centric Data Fusion on Structured Web Markup. 179-182 - Zhaonian Zou, Faming Li, Jianzhong Li, Yingshu Li:
Scalable Processing of Massive Uncertain Graph Data: A Simultaneous Processing Approach. 183-186 - Charu C. Aggarwal, Yao Li, Philip S. Yu, Yuchen Zhao:
On Edge Classification in Networks with Structure and Content. 187-190 - Konstantinos Lolos, Ioannis Konstantinou, Verena Kantere, Nectarios Koziris:
Adaptive State Space Partitioning of Markov Decision Processes for Elastic Resource Management. 191-194 - Neha Sengupta, Amitabha Bagchi, Srikanta Bedathur, Maya Ramanath:
Sampling and Reconstruction Using Bloom Filters. 195-198 - Chunyao Song, Xuanming Liu, Tingjian Ge:
Top-k Frequent Items and Item Frequency Tracking over Sliding Windows of Any Sizes. 199-202 - Linfei Zhou, Claudia Plant, Christian Böhm:
Joint Gaussian Based Measures for Multiple-Instance Learning. 203-206 - Mohamed Sarwat, Yuhan Sun:
Answering Location-Aware Graph Reachability Queries on GeoSocial Data. 207-210 - Moloud Shahbazi, Matthew T. Wiley, Vagelis Hristidis:
IRanker: Query-Specific Ranking of Reviewed Items. 211-214 - Yang Zhang, Yusu Wang, Srinivasan Parthasarathy:
Analyzing and Visualizing Scalar Fields on Graphs. 215-218 - Jiawei Zhang, Philip S. Yu, Yuanhua Lv:
Enterprise Community Detection. 219-222 - Chaoyue Niu, Zhenzhe Zheng, Fan Wu, Xiaofeng Gao, Guihai Chen:
Trading Data in Good Faith: Integrating Truthfulness and Privacy Preservation in Data Markets. 223-226 - Kasper Grud Skat Madsen, Yongluan Zhou, Jianneng Cao:
Integrative Dynamic Reconfiguration in a Parallel Stream Processing Engine. 227-230 - Xinyu Lei, Alex X. Liu, Rui Li:
Secure KNN Queries over Encrypted Data: Dimensionality Is Not Always a Curse. 231-234
Industry Posters
- Anjan Kumar Amirishetty, Yunrui Li, Tolga Yurek, Mahesh Girkar, Wilson Chan, Graham Ivey, Vsevolod Panteleenko, Ken Wong:
Improving Predictable Shared-Disk Clusters Performance for Database Clouds. 237-242 - Dong Wang, Wei Cao, Jian Li, Jieping Ye:
DeepSD: Supply-Demand Prediction for Online Car-Hailing Services Using Deep Neural Networks. 243-254 - Sung Jin Kim, Mohammed Al-Kateb, Paul Sinclair, Alain Crolotte, Chengyang Zhang, Linda Rose:
Dynamic Statistics Collection in the Teradata Unified Data Architecture. 255-258 - Joan Serrà, Ilias Leontiadis, Alexandros Karatzoglou, Konstantina Papagiannaki:
Hot or Not? Forecasting Cellular Network Hot Spots Using Sector Performance Indicators. 259-270 - Lijun Tang, Eric Yi Liu:
Joint User-Entity Representation Learning for Event Recommendation in Social Network. 271-280 - Jie Jiang, Jiawei Jiang, Bin Cui, Ce Zhang:
TencentBoost: A Gradient Boosting Tree System with Parameter Server. 281-284 - Yongseok Son, Jaeyoon Choi, Jekyeom Jeon, Cheolgi Min, Sunggon Kim, Heon Young Yeom, Hyuck Han:
SSD-Assisted Backup and Recovery for Database Systems. 285-296 - Ilias Leontiadis, Joan Serrà, Alessandro Finamore, Giorgos Dimopoulos, Konstantina Papagiannaki:
The Good, the Bad, and the KPIs: How to Combine Performance Metrics to Better Capture Underperforming Sectors in Mobile Networks. 297-308 - Yosef Moatti, Eran Rom, Raúl Gracia Tinedo, Dalit Naor, Doron Chen, Josep Sampé, Marc Sánchez Artigas, Pedro García López, Filip Gluszak, Eric Deschdt, Francesco Pace, Daniele Venzano, Pietro Michiardi:
Too Big to Eat: Boosting Analytics Data Ingestion from Object Stores with Scoop. 309-320
Research Track
Session: Graphs
- Xiongcai Luo, Jun Gao, Chang Zhou, Jeffrey Xu Yu:
UniWalk: Unidirectional Random Walk Based Scalable SimRank Computation over Large Graph. 325-336 - Yikai Zhang, Jeffrey Xu Yu, Ying Zhang, Lu Qin:
A Fast Order-Based Approach for Core Maintenance. 337-348 - Son T. Mai, Martin Storgaard Dieu, Ira Assent, Jon Jacobsen, Jesper Kristensen, Mathias Skovgaard Birk:
Scalable and Interactive Graph Clustering Algorithm on Multicore CPUs. 349-360 - Shuai Ma, Renjun Hu, Luoshu Wang, Xuelian Lin, Jinpeng Huai:
Fast Computation of Dense Temporal Subgraphs. 361-372
Session: Keyword Search, Text and Strings
- Xike Xie, Xin Lin, Jianliang Xu, Christian S. Jensen:
Reverse Keyword-Based Location Search. 375-386 - Jingwen Zhao, Yunjun Gao, Gang Chen, Christian S. Jensen, Rui Chen, Deng Cai:
Reverse Top-k Geo-Social Keyword Queries in Road Networks. 387-398 - Yangjun Chen, Yujia Wu:
BWT Arrays and Mismatching Trees: A New Way for String Matching with k Mismatches. 399-410 - Justin Wood, Patrick Tan, Wei Wang, Corey W. Arnold:
Source-LDA: Enhancing Probabilistic Topic Models Using Prior Knowledge Sources. 411-422
Session: Data Mining
- Michele Coscia, Frank M. H. Neffke:
Network Backboning with Noisy Data. 425-436 - Guoyao Feng, Lukasz Golab, Divesh Srivastava:
Scalable Informative Rule Mining. 437-448 - Yu Zhang, Kanat Tangwongsan, Srikanta Tirthapura:
Streaming k-Means Clustering with Fast Queries. 449-460 - Md Farhadur Rahman, Weimo Liu, Saad Bin Suhaim, Saravanan Thirumuruganathan, Nan Zhang, Gautam Das:
Density Based Clustering over Location Based Services. 461-469
Session: Query Optimization and Provenance
- Xing Niu, Raghav Kapoor, Boris Glavic, Dieter Gawlick, Zhen Hua Liu, Venkatesh Radhakrishnan:
Provenance-Aware Query Optimization. 473-484 - Seokki Lee, Sven Köhler, Bertram Ludäscher, Boris Glavic:
A SQL-Middleware Unifying Why and Why-Not Provenance for First-Order Queries. 485-496 - Marios Meimaris, George Papastefanatos, Nikos Mamoulis, Ioannis Anagnostopoulos:
Extended Characteristic Sets: Graph Indexing for SPARQL Query Optimization. 497-508 - Jianye Yang, Wenjie Zhang, Shiyu Yang, Ying Zhang, Xuemin Lin:
TT-Join: Efficient Set Containment Join. 509-520
Session: Systems for New Analytics
- Shangyu Luo, Zekai J. Gao, Michael N. Gubanov, Luis Leopoldo Perez, Christopher M. Jermaine:
Scalable Linear Algebra on a Relational Database System. 523-534 - Evan Randall Sparks, Shivaram Venkataraman, Tomer Kaftan, Michael J. Franklin, Benjamin Recht:
KeystoneML: Optimizing Pipelines for Large-Scale Advanced Analytics. 535-546 - Buwen Wu, Yongluan Zhou, Hai Jin, Amol Deshpande:
Parallel SPARQL Query Optimization. 547-558 - Christos Anagnostopoulos, Peter Triantafillou:
Efficient Scalable Accurate Regression Queries in In-DBMS Analytics. 559-570 - Hui Miao, Ang Li, Larry S. Davis, Amol Deshpande:
Towards Unified Data and Lifecycle Management for Deep Learning. 571-582
Session: Top-K, KNN and Skyline Querying
- Farhana Murtaza Choudhury, Zhifeng Bao, J. Shane Culpepper, Timos Sellis:
Monitoring the Top-m Rank Aggregation of Spatial Objects in Streaming Queries. 585-596 - Sheng Wang, Zhifeng Bao, J. Shane Culpepper, Timos Sellis, Mark Sanderson, Xiaolin Qin:
Answering Top-k Exemplar Trajectory Queries. 597-608 - Bilong Shen, Ying Zhao, Guoliang Li, Weimin Zheng, Yue Qin, Bo Yuan, Yongming Rao:
V-Tree: Efficient kNN Search on Moving Objects with Road-Network Constraints. 609-620 - Guoyang Chen, Yufei Ding, Xipeng Shen:
Sweet KNN: An Efficient KNN on GPU through Reconciliation between Redundancy Removal and Regularity. 621-632 - Jinfei Liu, Juncheng Yang, Li Xiong, Jian Pei:
Secure Skyline Queries on Cloud Platform. 633-644
Session: New Hardware
- David Broneske, Veit Köppen, Gunter Saake, Martin Schäler:
Accelerating Multi-Column Selection Predicates in Main-Memory - The Elf Approach. 647-658 - Shuhao Zhang, Bingsheng He, Daniel Dahlmeier, Amelie Chi Zhou, Thomas Heinze:
Revisiting the Design of Data Stream Processing Systems on Multi-Core Processors. 659-670 - Kai Zhang, Jiayu Hu, Bingsheng He, Bei Hua:
DIDO: Dynamic Pipelines for In-Memory Key-Value Stores on Coupled CPU-GPU Architectures. 671-682