IEEE Big Data 2018 Accepted Papers

1. Big Data Foundations

Regular Papers
Paper ID	Title	Authors
BigD357	Linear Models with Many Cores and CPUs: A Stochastic Atomic Update Scheme	Edward Raff and Jared Sylvester
BigD409	Best-Choice Edge Grafting for Efficient Structure Learning of Markov Random Fields	Walid Chaabene and Bert Huang
BigD504	Semi-supervised Deep Representation Learning for Multi-View Problems	Vahid Noroozi, Lei Zheng, Sara Bahaadini, Sihong Xie, Weixiang Shao, and Philip S. Yu
BigD545	Projection-SVM: Distributed Kernel Support Vector Machine for Big Data using Subspace Partitioning	Dinesh Singh and Krishna Mohan C
BigD564	Detecting Latent Structure Uncertainty with Structural Entropy	So Hirai and Kenji Yamanishi
BigD580	Time Series Classification Using a Neural Network Ensemble	Soukaina Filali Boubrahimi and Rafal Angryk
BigD602	Hybridization of Active Learning and Data Programming for Labeling Large Industrial Datasets	Mona Nashaat, Aindrila Ghosh, Shaikh Quader, Chad Marston, Jean-Francois Puget, and James Miller
BigD717	DANN: Incorporating Prior Domain Knowledge into Model Training	Nikhil Muralidhar, Mohammad Raihanul Islam, Manish Marwah, Anuj Karpatne, and Naren Ramakrishnan
Short Papers
BigD366	Efficient Dimensionality Reduction for Sparse Binary Data	Rameshwar Pratap, Raghav Kulkarni, and Ishan Sohony
BigD369	Effective Outlier Detection based on Bayesian Network and Proximity	Sha Lu, Lin Liu, Jiuyong Li, and Thuc Duy Le
BigD405	Hash-Grams On Many-Cores and Skewed Distributions	Edward Raff and Mark McLean
BigD442	Securing Behavior-based Opinion Spam Detection	Shuaijun Ge, Guixiang Ma, Sihong Xie, and Philip S. Yu
BigD451	AdaDIF: Adaptive Diffusions for Efficient Semi-supervised Learning over Graphs	Dimitris Berberidis, Athanasios Nikolakopoulos, and Georgios B. Giannakis
BigD482	Source Free Domain Adaptation Using an Off-the-Shelf Classifier	Arun Reddy Nelakurthi, Ross Maciejwski, and Jingrui He
BigD501	Modeling Road Traffic Dynamics Using Big Data	Fan Yang, Alina Vereshchaka, and Wen Dong
BigD536	Scalable Bottom-up Subspace Clustering using FP-Trees for High Dimensional Data	Tuan Doan, Jianzhong Qi, Sutharshan Rajasegarar, and Christopher Leckie
BigD565	Biomedical Data Classification using Random Projection Ensembles	Sotiris Tasoulis, Aristidis Vrahatis, Spiros Georgakopoulos, and Vassilis Plagianakos
BigD581	Representation Learning for Question Classification via Topic Sparse Autoencoder and Entity Embedding	Dingcheng Li, Jingyuan Zhang, and Ping Li
BigD699	Scaling up Inference in MLNs with Spark	Maminur Islam, Khan Mohammad Al Farabi, Somdeb Sarkhel, and Deepak Venugopal
BigD701	Queryable Compression on Time-Evolving Social Networks with Streaming	Michael Nelson, Sridhar Radhakrishnan, and Chandra Sekharan
BigD708	Topological approaches to skin disease image analysis	Yu-Min Chung, Chuan-Shen Hu, Austin Lawson, and Clifford Smyth
BigD730	DeepFP: A Deep Learning Framework For User Fingerprinting via Mobile Motion Sensors	Sara Amini, Vahid Noroozi, Sara Bahaadini, Philip S. Yu, and Chris Kanich

2. Big Data Infrastructure

Regular Papers
BigD234	An Empirical Analysis on Expressibility of Vertex Centric Graph Processing Paradigm	Siyuan Liu and Arijit Khan
BigD239	ARCHIE: Data Analysis Acceleration with Array Caching in Hierarchical Storage	Bin Dong, Teng Wang, Houjun Tang, Quincey Koziol, Kesheng Wu, and Suren Byna
BigD294	Column Cache: Buffer Cache for Columnar Storage on HDFS	Takeshi Yoshimura, Tatsuhiro Chiba, and Hiroshi Horii
BigD336	Online Density Estimation over Streaming Data: A Local Adaptive Solution	Zhong Chen, Zhide Fang, Jiabin zhao, Wei Fan, Andrea Edwards, and Kun Zhang
BigD350	Practical Cross Program Memoization with KeyChain	Craig Mustard and Alexandra Fedorova
BigD397	Learning-based Automatic Parameter Tuning for Big Data Analytics Frameworks	Liang Bao, Xin Liu, and Weizhao Chen
BigD403	Dynamic and Transparent Memory Sharing for Accelerating Big Data Analytics Workloads in Virtualized Cloud	Wenqi Cao and Ling Liu
BigD431	Scalable Manifold Learning for Big Data with Apache Spark	Frank Schoeneman and Jaroslaw Zola
BigD598	Mira: Sharing Resources for Distributed Analytics at Small Timescales	Michael Kaufmann, Kornilios Kourtis, Adrian Schuepbach, and Martina Zitterbart
BigD671	A Method-Level Test Generation Framework for Debugging Big Data Applications	Huadong Feng, Jaganmohan Chandrasekaran, Yu Lei, Raghu Kacker, and D. Richard Kuhn
BigD738	A Reinforcement Learning Based Resource Management Approach for Time-critical Workloads in Distributed Computing Environment	Zixia Liu, Hong Zhang, Bingbing Rao, and Liqiang Wang
Short Papers
BigD233	Dilemma between Naive or Costly: Technique of Resembling Data Processing Workloads for Datacenter Flash Storage	Janki Bhimani, Rajinikanth Pandurangan, Ningfang Mi, and Vijay Balakrishnan
BigD252	Serverless Big Data Processing using Matrix Multiplication as Example	Sebastian Werner, Jörn Kuhlenkamp, Markus Klems, Johannes Müller, and Stefan Tai
BigD262	Versatile Communication Optimization for Deep Learning by Modularized Parameter Server	Po-Yen Wu, Pangfeng Liu, and Jan-Jan Wu
BigD291	Analyzing Alibaba's Co-located Datacenter Workloads	Yue Cheng, Ali Anwar, and Xuejing Duan
BigD317	Communication Model for Parallel Iterative Stream Processing	Sachini Jayasekara, Xunyun Liu, Shanika Karunasekera, and Aaron Harwood
BigD394	OverSketch: Approximate Matrix Multiplication for the Cloud	Vipul Gupta, Shusen Wang, Thomas Courtade, and Kannan Ramchandran
BigD459	POSUM: A Portfolio Scheduler for MapReduce Workloads	Maria Voinea, Alexandru Uta, and Alexandru Iosup
BigD470	Experimental Characterizations and Analysis of Deep Learning Frameworks	Yanzhao Wu, Wenqi Cao, Semih Sahin, and Ling Liu
BigD563	Scalable Distributed Top-k Join Queries in Topic-Based Pub/Sub Systems	Nikos Zacheilas, Dimitris Dedousis, and Vana Kalogeraki
BigD604	XOS: An Application-Defined Operating System for Data Center Servers	Chen Zheng, Lei Wang, Sally A. McKee, Jianfeng Zhan, and Lixin Zhang
BigD617	Culster-based Data Reduction for Persistent Homology	Anindya Moitra, Nick Malott, and Philip Wilsey
BigD645	GeoMatch: Efficient Large-Scale Map Matching on Apache Spark	Ayman Zeidan, Eemil Lagerspetz, Kai Zhao, Petteri Nurmi, Sasu Tarkoma, and Huy Vo
BigD682	Parallel DBSCAN Algorithm Using a Data Partitioning Strategy with Spark Implementation	Dianwei Han
BigD689	Sync-on-the-fly: A Parallel Framework for Gradient Descent Algorithms on Transient Resources	Guoyi Zhao, Lixin Gao, and David Irwin
BigD711	GreenDataFlow: Minimizing the Energy Footprint of Global Data Movement	Zulkar Nine, Luigi Di Tacchio, Asif Imran, Tevfik Kosar, Fatih Bulut, and Jinho Hwang
BigD719	ThousandSunny: A Large-Scale Neural Network Training System For Online Advertising	Quanchang Qi, Guangming Lu, Jun Zhang, Lichun Yang, and Haishan Liu
BigD735	Spark-uDAPL: Cost-Saving Big Data Analytics on Microsoft Azure Cloud with RDMA Networks	Xiaoyi Lu, Dipti Shankar, Haiyang Shi, and Dhabaleswar K. (DK) Panda

3. Big Data Management

Regular Papers
BigD309	Concept-Driven Load Shedding: Reducing Size and Error of Voluminous and Variable Data Streams	Nikos R. Katsipoulakis, Alexandros Labrinidis, and Panos K. Chrysanthis
BigD318	HYPE: Massive Hypergraph Partitioning with Neighborhood Expansion	Christian Mayer, Ruben Mayer, Sukanya Bhowmik, Lukas Epple, and Kurt Rothermel
BigD358	Accelerating a Distributed CPD Algorithm for Large Dense, Skewed Tensors	Kareem Aggour, Alex Gittens, and Bülent Yener
BigD379	Explaining Aggregates for Exploratory Analytics	Fotis Savva, Christos Anagnostopoulos, and Peter Triantafillou
BigD396	Optimizing Lossy Compression with Adjacent Snapshots for N-body Simulation Data	Sihuan Li, Sheng Di, Xin Liang, Zizhong Chen, and Franck Cappello
BigD475	Error-Controlled Lossy Compression Optimized for High Compression Ratios of Scientific Datasets	Xin Liang, Sheng Di, Dingwen Tao, Sihuan Li, Shaomeng Li, Hanqi Guo, Zizhong Chen, and Franck Cappello
BigD481	Truth Inference on Sparse Crowdsourcing Data with Local Differential Privacy	Haipei Sun, Boxiang Dong, Wendy Hui Wang, Ting Yu, and Zhan Qin
BigD529	Cloud based Real-Time and Low Latency Scientific Event Analysis	Chen Yang, Zhihui Du, and Xiaofeng Meng
BigD573	Influence Maximization in Evolving Multi-Campaign Environments	Iouliana Litou and Vana Kalogeraki
BigD611	Alleviating I/O Inefficiencies to Enable Effective Model Training Over Voluminous, High-Dimensional Datasets	Daniel Rammer, Walid Budgaga, Thilina Buddhika, Shrideep Pallickara, and Sangmi Lee Pallickara
Short Papers
BigD287	Steering Top-k Influencers in Dynamic Graphs via Local Updates	Vijaya Krishna Yalavarthi and Arijit Khan
BigD290	Distributed Execution of Spatial SQL Queries	Konstantinos Giannousis, Konstantina Bereta, Nikolaos Karalis, and Manolis Koubarakis
BigD325	Efficient Processing of Probabilistic Single and Batch Reachability Queries in Large and Evolving Spatiotemporal Contact Networks	Zohreh Raghebi and Farnoush Banaei-Kashani
BigD351	FairGAN: Fairness-aware Generative Adversarial Networks	Depeng Xu, Shuhan Yuan, Lu Zhang, and Xintao Wu
BigD365	Aggregation of Linked Data: a case study in the cultural heritage domain	Nuno Freire, Enno Meijers, René Voorburg, Roland Cornelissen, Antoine Isaac, and Sjors de Valk
BigD381	Integrated Real-Time Data Stream Analysis and Sketch-Based Video Retrieval in Team Sports	Lukas Probst, Fabian Rauschenbach, Heiko Schuldt, Philipp Seidenschwarz, and Martin Rumo
BigD384	A Universal Namespace Approach to Support Metadata Management and Efficient Data Convergence of HPC and Cloud Scientific Workflows	Hsing-bung Chen
BigD473	FastTopK: A Fast Top-K Trajectory Similarity Query Processing Algorithm for GPUs	Hamza Mustafa, Eleazar Leal, and Le Gruenwald
BigD621	Optimized Storing of Workflow Outputs through Mining Association Rules	Debasish Chakroborti, Manishankar Mondal, Banani Roy, Chanchal K. Roy, and Kevin A. Schneider
BigD627	A Survey on Trajectory Data Management for Hybrid Transactional and Analytical Workloads	Keven Richly
BigD680	Aion: It's Never too Late in Event-Time Streams	Sérgio Esteves, Gianmarco De Francisci Morales, Rodrigo Rodrigues, Marco Serafini, and Luís Veiga
BigD741	Dynamic Online Performance Optimization in Streaming Data Compression	Kade Gibson, Dongeun Lee, Jaesik Choi, and Alexander Sim

4. Big Data Search and Mining

Regular Papers
BigD236	Benchmarking API Costs of Network Sampling Strategies	Michele Coscia and Luca Rossi
BigD240	Using Smart Card Data to Model Commuters' Response Upon Unexpected Train Delays	Xiancai Tian and Baihua Zheng
BigD302	Optimal k-Nearest-Neighbor Query Processing via Multiple Lower Bound Approximations	Christian Beecks and Max Berrendorf
BigD305	Differentially Private Semi-Supervised Learning With Known Class Priors	Anh Pham and Jing Xi
BigD307	Revisiting Exact kNN Query Processing with Probabilistic Data Space Transformations	Atoshum Samuel Cahsai, Christos Anagnostopoulos, Nikos Ntarmos, and Peter Triantafillou
BigD328	Scalable Construction of Text Indexes with Thrill	Timo Bingmann, Simon Gog, and Florian Kurpicz
BigD334	AURORA: Auditing PageRank on Large Graphs	Jian Kang, Meijia Wang, Nan Cao, Yinglong Xia, Wei Fan, and Hanghang Tong
BigD356	Adaptive Data Pruning for Support Vector Machines	Yasuhiro Fujiwara, Junya Arai, Sekitoshi Kanai, Yasutoshi Ida, and Naonori Ueda
BigD364	An Efficient System for Subgraph Discovery	Aparna Joshi, Yu Zhang, Petko Bogdanov, and Jeong-Hyon Hwang
BigD414	ImVerde: Vertex-Diminished Random Walk for Learning Imbalanced Network Representation	Jun Wu, Jingrui He, and Yongming Liu
BigD423	Efficient Discovery of Weighted Frequent Itemsets in Very Large Transactional Databases: A Re-visit	RAGE UDAY KIRAN
BigD425	On Learning Psycholinguistics Tools for English-based Creole Languages using Social Media Data	Pei-Chi LO and Ee-Peng LIM
BigD437	Automated Extraction of Personal Knowledge from Smartphone Push Notifications	Yuanchun Li, Ziyue Yang, Yao Guo, Xiangqun Chen, Yuvraj Agarwal, and Jason Hong
BigD440	Semi-supervised Multi-instance Learning for Flu Shot Adverse Event Detection	Junxiang Wang, Liang Zhao, and Yanfang Ye
BigD457	Candidate List Maintenance in High Utility Sequential Pattern Mining	Scott Buffett
BigD469	ParIS: The Next Destination for Fast Data Series Indexing and Query Answering	Botao Peng, Themis Palpanas, and Panagiota Fatourou
BigD477	One-Shot Learning on Attributed Sequences	Zhongfang Zhuang, Xiangnan Kong, Elke Rundensteiner, Aditya Arora, and Jihane Zouaoui
BigD483	A Data-Centric Approach for Image Scene Localization	Abdullah Alfarrarjeh, Seon Ho Kim, Shivnesh Rajan, Akshay Deshmukh, and Cyrus Shahabi
BigD498	Learning Multiclassifiers with Predictive Features Varied along with Data Distribution	Xuan-Hong Dang, Omid Askarisichani, and Ambuj K. Singh
BigD508	FauxBuster: A Content-free Fauxtography Detector Using Social Media Comments	Daniel Zhang, Lanyu Shang, Biao Geng, Shuyue Lai, Ke Li, Hongmin Zhu, Md Tanvir Amin, and Dong Wang
BigD509	Lifelong Memory Networks with Knowledge Learning from Big Data for Aspect Sentiment Classification	Shuai Wang, Guangyi Lv, Sahisnu Mazumder, Geli Fei, and Bing Liu
BigD542	Hot Spot Analysis for Big Trajectory Data	Panagiotis Nikitopoulos, Aris-Iakovos Paraskevopoulos, Christos Doulkeridis, Nikos Pelekis, and Yannis Theodoridis
BigD566	PER: A Probabilistic Attentional Model for Personalized Text Recommendations	Lei Zheng, Yixue Wang, Lifang He, Sihong Xie, Fengjiao Wang, and Philip S. Yu
BigD569	Fast and Accurate Mining of Node Importance \\ in Trajectory Networks	Tilemachos Pechlivanoglou and Manos Papagelis
BigD571	Fast Bag-Of-Words Candidate Selection in Content-Based Instance Retrieval Systems	Michal Siedlaczek, Qi Wang, Yen-Yu Chen, and Torsten Suel
BigD600	BigSR: real-time expressive RDF stream reasoning on modern Big Data platforms	Xiangnan Ren, Olivier Curé, Hubert Naacke, and Guohui Xiao
BigD624	Constructing Influence Trees from Temporal Sequence of Retweets: An Analytical Approach	Ayan Kumar Bhowmick, G. Sai Bharath Chandra, Yogesh Singh, and Bivas Mitra
BigD626	StreamGuard: A Bayesian Network Approach to Copyright Infringement Detection Problem in Large-scale Live Video Sharing Systems	Daniel Zhang, Lixing Song, Qi Li, Yang Zhang, and Dong Wang
BigD658	Influence Maximization in Social Networks With Non-Target Constraints	Madhavan Padmanabhan, Naresh Somisetty, Samik Basu, and A Pavan
BigD662	A Multi-Criteria Experimental Ranking of Distributed SPARQL Evaluators	Damien Graux, Louis Jachiet, Pierre Genevès, and Nabil Layaïda
BigD665	Mining top-k Popular Datasets via a Deep Generative Model	Uchenna Akujuobi, Ke Sun, and Xiangliang Zhang
BigD722	Fusion of Terrain Information and Mobile Phone Location Data for Flood Area Detection in Rural Areas	Takahiro Yabe, Kota Tsubouchi, and Yoshihide Sekimoto
BigD740	Fast Clustering with Flexible Balance Constraints	Hongfu Liu, Ziming Huang, Yun Fu, Qi Chen, Mingqin Li, and Lintao Zhang
BigD753	Improved Dynamic Memory Network for Dialogue Act Classification with Adversarial Training	Yao Wan, Wenqiang Yan, Jianwei Gao, Zhou Zhao, Jian Wu, and Philip S. Yu
BigD758	A Sketch-Based Naive Bayes Algorithms for Evolving Data Streams	Maroua Bahri, Silviu Maniu, and Albert Bifet
Short Papers
BigD276	Efficient Principal Subspace Projection of Streaming Data Through Fast Similarity Matching	Andrea Giovannucci, Victor Minden, Cengiz Pehlevan, and Dmitri Chklovskii
BigD293	Identifying Pros and Cons of Product Aspects Based on Customer Reviews	Ebad Ahmadzadeh and Philip Chan
BigD301	Dynamic Network Embeddings: From Random Walks to Temporal Random Walks	Giang Nguyen, John Boaz Lee, Ryan Rossi, Nesreen Ahmed, Eunyee Koh, and Sungchul Kim
BigD323	Efficient Triangles Estimation in Network Streams Based on Edge Sampling	Roohollah Etemadi and Jianguo Lu
BigD330	StageMap: Extracting and Summarizing Progression Stages in Event Sequences	Yuanzhe Chen, Abishek Puri, Linping Yuan, and Huamin Qu
BigD339	Speed Accuracy Trade-off for Pedestrian and Vehicle Detection using Localized Big Data	Yeongro Yun, Youngseok Park, Chanhee Woo, and Sejoon Lim
BigD345	The content correlation of multiple streaming edges	Michel de Rougemont and Guillaume Vimont
BigD383	Learning Fast and Slow - A Unified Batch/Stream Framework	Jacob Montiel, Albert Bifet, Viktor Losing, Jesse Read, and Talel Abdessalem
BigD385	Top-N-Rank: A Truncated List-wise Ranking Approach for Large-scale Top-N Recommendation	Junjie Liang, Jinlong Hu, Shoubin Dong, and Vasant Honavar
BigD386	Dynamic Partition Forest: An Efficient and Distributed Indexing Scheme for Similarity Search based on Hashing	Yangdi Lu, Yang Bo, Wenbo He, and Amir Nabatchian
BigD390	Monitoring the shape of weather, soundscapes, and dynamical systems: a new statistic for dimension-driven data analysis on large data sets	Henry Kvinge, Elin Farnell, Michael Kirby, and Chris Peterson
BigD393	Clustering-Driven and Dynamically Diversified Ensemble for Drifting Data Streams	Lukasz Korycki and Bartosz Krawczyk
BigD395	Predicting computational reproducibility of data analysis pipelines in large population studies using collaborative filtering	Soudabeh Barghi, Lalet Scaria, Ali Salari, and Tristan Glatard
BigD436	Detecting Highly Overlapping Community Structure by Model-based Maximal Clique Expansion	Said Jabbour, Nizar Mhadhbi, Badran Raddaoui, and Lakhdar Sais
BigD444	Improving Query Execution Performance in Big Data using Cuckoo Filter	Sharafat Ibn Mollah Mosharraf and Muhammad Abdullah Adnan
BigD461	CAM: A Combined Attention Model for Natural Language Inference	Amit Gajbhiye, Sardar Jaf, Noura Al Moubayed, Steven Bradley, and A. Stephen McGough
BigD480	Local Partition in Rich Graphs	Scott Freitas, Nan Cao, Yinglong Xia, Duen Horng Chau, and Hanghang Tong
BigD484	All-in-One Urban Mobility Mapping Application with Optional Routing Capabilities	Rebekah Thompson, Jose Stovall, Daniel Velasquez, Viswa Sri Rupa Anne, Alex Samoylov, and Mina Sartipi
BigD497	Multi-Attribute Topic Feature Construction for Social Media-based Prediction	Alex Morales, Nupoor Gandhi, Man-pui Sally Chan, Sophie Lohmann, Travis Sanchez, Lyle Ungar, Dolores Albaracin, and Chengxiang Zhai
BigD499	Context-Aware Deep Sequence Learning with Multi-View Factor Pooling for Time Series Classification	Sreyasee Das Bhattacharjee, William J. Tolone, Ashish Mahabal, Mohammed Elshambakey, Isaac Cho, and S. G. Djorgovski
BigD530	DLA: a Distributed, Location-based and Apriori-based Algorithm for Biological Sequence Pattern Mining	Eirini Stamoulakatou, Andrea Gulino, and Pietro Pinoli
BigD533	Motif-Preserving Dynamic Local Graph Cut	Dawei Zhou, Jingrui He, Hasan Davulcu, and Ross Maciejewski
BigD537	AnySC: Anytime Set-wise Classification of Variable Speed Data Streams	Jagat Sesh Challa, Poonam Goyal, Vijay M Giri, Dhananjay Mantri, and Navneet Goyal
BigD576	Pseudo-Inverse Linear Discriminants for Highly Imbalanced Big Datasets	Daqi Gao, Jingguang Zhang, and Jiamin Song
BigD583	Correlated Anomaly Detection from Large Streaming Data	Zheng Chen, Xinli Yu, Yuan Lin, Xiaohua Hu, and Erjia Yan
BigD605	TSM2: Optimizing Tall-and-Skinny Matrix-Matrix Multiplication on GPUs	Jieyang Chen, Nan Xiong, Xin Liang, Dingwen Tao, Sihuan Li, Kaiming Ouyang, Kai Zhao, Nathan DeBardeleben, Qiang Guan, and Zizhong Chen
BigD614	SynthNotes: A Generator Framework for High-volume, High-fidelity Synthetic Mental Health Notes	Edmon Begoli, Kris Brown, Sudarshan Srinivas, and Suzanne Tamang
BigD633	Spatio-Temporal Attention based recurrent neural network for next poi prediction	Basmah Altaf, Lu Yu, and Xiangliang Zhang
BigD644	An Application of Storage-Optimal MatDot Codes for Coded Matrix Multiplication: Fast k-Nearest Neighbors Estimation	Utsav Sheth, Sanghamitra Dutta, Malhar Chaudhari, Haewon Jeong, Yaoqing Yang, Jukka Kohonen, Teemu Roos, and Pulkit Grover
BigD666	PACAS: Privacy-Aware, Data Cleaning-as-a-Service	Yu Huang, Mostafa Milani, and Fei Chiang
BigD669	Scalable K-Core Decomposition for Static Graphs Using a Dynamic Graph Data Structure	Alok Tripathy, Fred Hohman, Duen Horng Chau, and Oded Green
BigD697	Deep Learning for Predicting Dynamic Uncertain Opinions in Network Data	Xujiang Zhao, Feng Chen, and Jin-Hee Cho
BigD698	Density-aware Local Siamese Autoencoder Network Embedding with Autoencoder Graph Clustering	Yang Zhou, Amnay Amimeur, Chao Jiang, Dejing Dou, Ruoming Jin, and Pengwei Wang
BigD703	Exploring Size-Speed Trade-Offs In Static Index Pruning	Juan Rodriguez and Torsten Suel
BigD731	Enumerating Top-k Quasi-Cliques	Seyed-Vahid Sanei-Mehri, Apurba Das, and Srikanta Tirthapura
BigD751	Context Aware Recommender System for Large Scaled Flash Sale Sites	Wanying Ding, Ran Xu, Ying Ding, Yue Zhang, and Chuanjiang Luo

5. Big Data Security & Privacy

Regular Papers
BigD238	Do Bitcoin Users Really Care About Anonymity? A Graph Analysis on Bitcoin Transaction Graphs	Anil Gaihre, Yan Luo, and Hang Liu
BigD247	Distributed Machine Learning Meets Blockchain: A Decentralized, Secure, and Privacy-preserving Realization	Xuhui Chen, Jinlong Ji, Changqing Luo, Weixian Liao, and Pan Li
BigD296	Benchmarking Anomaly Detection Algorithms in an Industrial Context: Dealing with Scarce Labels and Multiple Positive Types	David Renaudie, Maria A. Zuluaga, and Rodrigo Acuna-Agost
BigD314	A Unified Unsupervised Gaussian Mixture Variational Autoencoder for High Dimensional Outlier Detection	Weixian Liao, Yifan Guo, Xuhui Chen, and Pan Li
BigD388	PrivacyZone: A novel approach to protecting location privacy of mobile users	Emre Yigitoglu, Mehmet Emre Gursoy, Ling Liu, Margaret Loper, Bhuvan Bamba, and Kisung Lee
BigD531	There goes Wally: Anonymously sharing your location gives you away	Apostolos Pyrgelis, Nicolas Kourtellis, Ilias Leontiadis, Joan Serra, and Claudio Soriente
BigD534	Actionable Objective Optimization for Suspicious Behavior Detection on Large Bipartite Graphs	Tong Zhao, Matthew Malir, and Meng Jiang
BigD538	Phishing URL Detection with Oversampling based on Text Generative Adversarial Networks	Ankesh Anand, Kshitij Gorde, Joel Moniz, Noseong Park, Tanmoy Chakraborty, and Bei-Tseng Chu
BigD677	GCI: A Transfer Learning Approach for Detecting Cheats of Computer Game	Bo Dong, Md Shihabul Islam, Swarup Chandra, Latifur Khan, and Bhavani Thuraisingham
Short Papers
BigD217	Novel anomaly detection and classification schemes for Machine-to-Machine uplink	Akshay Kumar, Ahmed Abdelhadi, and Charles Clancy
BigD255	Algorithmic Reputation	Michael Katell
BigD346	Toward End-to-End Deception Detection in Videos	Hamid Karimi, Jiliang Tang, and Yanen Li
BigD443	Learning Light-Weight Edge-Deployable Privacy Models	Yeon-sup Lim, Mudhakar Srivatsa, Supriyo Chakraborty, and Ian Taylor
BigD446	Automated Generation and Selection of Interpretable Features for Enterprise Security	Jiayi Duan, Ziheng Zeng, Alina Oprea, and Shobha Vasudevan
BigD523	Graph Mining-based Trust Evaluation Mechanism with Multidimensional Features for Large-scale Heterogeneous Threat Intelligence	Yali Gao, Xiaoyong Li, Jirui Li, Yunquan Gao and Ning Guo
BigD589	CVExplorer: Multidimensional Visualization for Common Vulnerabilities andExposures	Vung Pham and Tommy Dang
BigD630	dynamicMF: A Matrix Factorization Approach to Monitor Resource Usage in High Performance Computing	Niyazi Sorkunlu, Duc Thanh Anh Luong, and Varun Chandola
BigD667	An Integrated Knowledge Graph to Automate GDPR and PCI DSS Compliance	Lavanya Elluri, Ankur Nagar, and Karuna Pande Joshi

6. Big Data Applications

Regular Papers
BigD278	A Bayesian Approach to Residential Property Valuation Based on Built Environment and House Characteristics	Zhicheng Liu, Shuai Yan, Jun Cao, Tanhua Jin, Jiabo Tang, Junyan Yang, and Qiao Wang
BigD285	Realtime Robustification of Interdependent Networks under Cascading Attacks	Zhen Chen, Hanghang Tong, and Lei Ying
BigD292	Market Abnormality Period Detection via Co-movement Attention Model	Yue Wang, Chenwei Zhang, Shen Wang, Philip S. Yu, Lu Bai, and Lixin Cui
BigD298	Optimizing Taxi Carpool Policies via Reinforcement Learning and Spatio-Temporal Mining	Ishan Jindal, Zhiwei (Tony) Qin, Xuewen Chen, Matthew Nokleby, and Jieping Ye
BigD353	Large-Scale Validation of Hypothesis Generation Systems via Candidate Ranking	Justin Sybrandt, Micheal Shtutman, and Ilya Safro
BigD354	Are Abstracts Enough for Hypothesis Generation?	Justin Sybrandt, Angelo Carrabba, Alexander Herzog, and Ilya Safro
BigD371	Enabling of Predictive Maintenance in the Brownfield through Low-Cost Sensors, an IIoT-Architecture and Machine Learning	Patrick Strauß, René Wöstmann, Markus Schmitz, and Jochen Deuse
BigD387	Integrating the University of São Paulo Security Mobile App to the Electronic Monitoring System	João Eduardo Fereira, José Antônio Visintin, Jun Okamoto Jr., Mauro Cesar Bernardes, Adriano Paterlini, Alexander Csóka Roque, and Moisés Ramalho Miguel
BigD401	IL-Net: Using Expert Knowledge to Guide the Design of a Furcated Neural Networks	Khushmeen Sakloth, Wesley Beckner, Jim Pfaendtner, and Garrett Goh
BigD402	Dynamic Prediction of ICU Mortality Risk Using Domain Adaptation	Tiago Alves, Alberto Laender, Adriano Veloso, and Nivio Ziviani
BigD406	Two Birds with One Network: Unifying Event Prediction and Time-to-failure Modeling	Karan Aggarwal, Onur Atan, Ahmed Farahat, Chi Zhang, Kosta Ristovski, and Chetan Gupta
BigD445	Transfer learning for time series classification	Hassan Ismail Fawaz, Germain Forestier, Jonathan Weber, Lhassane Idoumghar, and Pierre-Alain Muller
BigD456	A Structured Learning Approach with Neural Conditional Random Fields for Sleep Staging	Karan Aggarwal, Swaraj Khadanga, Shafiq Joty, Louis Kazaglis, and Jaideep Srivastava
BigD476	RiskSens: A Multi-view Learning Approach to Identifying Risky Traffic Locations in Intelligent Transportation Systems Using Social and Remote Sensing	Yang Zhang, Yiwen Lu, Daniel Zhang, Lanyu Shang, and Dong Wang
BigD495	Exploiting Knowledge Graph to Improve Text-based Prediction	Shan Jiang, Chengxiang Zhai, and Qiaozhu Mei
BigD526	A Minimax Approach for Classification with Big-data	Krishnan Raghavan, Jagannathan Sarangapani, and VA Samaranayake
BigD528	Mining Illegal Insider Trading of Stocks: A Proactive Approach	Sheikh Rabiul Islam, Sheikh Khaled Ghafoor, and William Eberle
BigD547	Profiling Driver Behavior for Personalized Insurance Pricing and Maximal Profit	Bing He, Dian Zhang, Siyuan Liu, Hao Liu, Dawei Han, and Lionel M. Ni
BigD590	Inferring Housing Demand based on Express Delivery Data	Qingyang Li, Zhiwen Yu, Bin Guo, and Xinjiang Lu
BigD593	Knowledge-guided Bayesian Support Vector Machine for High-Dimensional Data with Application to Analysis of Genomics Data	Wenli Sun, Changgee Chang, Yize Zhao, and Qi Long
BigD643	Situation-Based Interaction Learning for Personality Prediction on Facebook	Lei Zhang, Liang Zhao, Xuchao Zhang, Wenmo Kong, Zitong Sheng, and Chang-Tien Lu
BigD653	Technology Enablers for Big Data, Multi-Stage Analysis in Medical Image Processing	Shunxing Bao, Prasanna Parvathaneni, Yuankai Huo, Yogesh Barve, Andrew Plassard, Yuang Yao, Hongyang Sun, Ilwoo Lyu, David Zald, Bennett Landman, and Aniruddha Gokhale
BigD655	The unbanked and poverty: Predicting area-level socio-economic status from M-Money transactions	Gregor Engelmann, James Goulding, and Gavin Smith
BigD685	An Unsupervised Learning Based Approach for Mining Attribute Based Access Control Policies	Leila Karimi and James Joshi
BigD721	Time-Aware Subgroup Matrix Decomposition: Imputing Missing Data Using Forecasting Events	Xi Yang and Min Chi
BigD760	Learning Informative and Private Representations via Generative Adversarial Networks	Tsung-Yen Yang, Christopher Brinton, Prateek Mittal, Mung Chiang, and Andrew Lan
Short Papers
BigD245	Predicting Perceived Cycling Safety Levels Using Open and Crowdsourced Data	Jiahui Wu, Lingzi Hong, and Vanessa Frias-Martinez
BigD248	A Longitudinal Social Network Clustering Method Based on Tie Strength	Zhiyong Zhang, Mao Ye, Yijie Huang, and Nan Sun
BigD263	Personalized heart failure severity estimates using passive smartphone data	Ayse Cakmak, Erik Reinertsen, Herman Taylor, Amit Shah, and Gari Clifford
BigD280	Data-driven Blockbuster Planning on Online Movie Knowledge Library	Ye Liu, Jiawei Zhang, Chenwei Zhang, and Philip S. Yu
BigD310	Deep Convolutional Neural Networks for Log Event Classification on Distributed Cluster Systems	Rui Ren, Jiechao Cheng, Yan Yin, Jianfeng Zhan, and Lei Wang
BigD321	Social-Media aided Hyperlocal Help-Network Matching & Routing during Emergencies	Dheeraj Kumar, Takahiro Yabe, and Satish Ukkusuri
BigD337	Session Expert: a Lightweight Conference Session Recommender System	Jinfeng Yi, Qi Lei, Junchi Yan, and Wei Sun
BigD362	Visual Reasoning of Feature Attribution with Deep Recurrent Neural Networks	Chuan Wang, Takeshi Onishi, Keiichi Nemoto, and Kwan-Liu Ma
BigD380	Entropy-Isomap: Manifold Learning for High-dimensional Dynamic Processes	Frank Schoeneman, Varun Chandola, Nils Napp, Olga Wodo, and Jaroslaw Zola
BigD389	A Hierarchical Framework for Timely Freeway Accident Detection and Localization	Yasitha Warahena Liyanage, Charalampos Chelmis, and Daphney-Stavroula Zois
BigD465	Predicting Individual-Level Call Arrival from Online Account Customer Activity	Somayeh Moazeni
BigD494	A Subspace Pre-learning Approach to Fast High-Accuracy Machine Learning of Large XOR PUFs with Component-Differential Challenges	Ahmad O. Aseeri, Yu Zhuang, and Mohammed Saeed Alkatheiri
BigD506	Scalable Classification of Univariate and Multivariate Time Series	Saeed Karimi-Bidhendi, Faramarz Munshi, and Ashfaq Munshi
BigD535	Short-term local weather forecast using dense weather station\\by deep neural network	Kazuo Yonekura, Hitoshi Hattori, and Taiji Suzuki
BigD568	NetClips: A Framework for Video Analytics in Sports Broadcast	Masoumeh Izadi, Shangjing Wu, Aiden Chia, and Bernard Cheng
BigD594	Defining an Alert Mechanism for Detecting likely threats to National Security	Pedro Cardenas Canto, Georgios Theodoropoulos, and Boguslaw Obara
BigD654	Distributed Learning of Deep Sparse Neural Networks for High-dimensional Classification	Shweta Garg, Krishnan Raghavan, Jagannathan Sarangapani, and Samaranayake V.A.
BigD659	Twitter Health Surveillance (THS) System	Manuel Rodriguez-Martinez and Cristian Garzon-Alfonso
BigD746	Land Cover Classification at the Wildland Urban Interface using High-Resolution Satellite Imagery and Deep Learning	Mai H. Nguyen, Jessica Block, Daniel Crawl, Vincent Siu, Akshit Bhatnagar, Federico Rodriguez, Alison Kwan, Namrita Baru, and Ilkay Altintas
BigD755	Distributed Reverse DNS Geolocation	Ovidiu Dan, Vaibhav Parikh, and Brian D. Davison

Industry and Government Program

Regular Papers
Paper ID	Title	Authors
N205	Relational Similarity Machines (RSM): A Similarity-based Learning Framework for Graphs	Ryan Rossi, Nesreen Ahmed, Rong Zhou, and Hoda Eldardiry
N209	Bridging the Gap between Big Data System Software Stack and Applications: A Case Study of Semiconductor Wafer Fabrication Foundries	Hung-Chang Hsiao
N210	CUImage: A Neverending Learning Platform on a Convolutional Knowledge Graph of Billion Web Images	Ping Luo, Zhanglin Peng, Lingyun Wu, and Jiamin Ren
N211	Learning to Simplify Distributed Systems Management	Christopher Streiffer, Ramya Raghavendra, Theophilus Benson, and Mudhakar Srivatsa
N213	Learning Effective Embeddings for Machine Generated Emails with Applications to Email Category Prediction	Yu Sun, Lluis Garcia-Pueyo, James Wendt, Marc Najork, and Andrei Broder
N217	Scheduling Large-scale Distributed Training via Reinforcement Learning	Zhanglin Peng, Jiamin Ren, Ruimao Zhang, Lingyun Wu, Xinjiang Wang, and Ping Luo
N220	Parallel Polyglot Query Processing on Heterogeneous Cloud Data Stores with LeanXcale	Boyan Kolev, Oleksandra Levchenko, Esther Pacitti, Patrick Valduriez, Ricardo Vilaca, Rui Goncalves, Ricardo Jimenez-Peris, and Pavlos Kranas
N221	STIPA: A Memory Efficient Technique for Interval Pattern Discovery	Amit Kumar and Dhaval Patel
N226	AISTAR: An Intelligent System for Online IT Ticket Automation Recommendation	Qing Wang, Chunqiu Zeng, S. S. Iyengar, Larisa Shwartz, Genady Ya Grabarnik, and Tao Li
N228	Character Recognition by Deep Learning: An Enterprise Solution	Khaled Bouaziz, Thiagarajan Ramakrishnan, Srinivasan Raghavan, Kyle Grove, Awny Al-Omari, and Choudur Lakshminarayan
N229	Build and Execution Environment (BEE): an Encapsulated Environment Enabling HPC Applications Running Everywhere	Jieyang Chen, Qiang Guan, Xin Liang, Paul Bryant, Patricia Grubel, Allen McPherson, Li-Ta Lo, Timothy Randles, Zizhong Chen, and James Ahrens
N237	Predicting Age & Gender of Mobile Users at Scale - A Distributed Machine Learning Approach	Kajanan Sangaralingam, Nisha Verma, Aravind Ravi, Anindya Datta, and Varun Chugh
N241	High-Throughput Adaptive Data Virtualization via Context-Aware Query Routing	Amirhossein Aleyasen, Mohamed Soliman, Lyublena Antova, Florian Mike Waas, and Marianne Winslett
N243	Efficient Super Resolution for Large-Scale Images using Attentional GAN	Brooke Cowan, Xinxin Li, Shervin Minaee, and Harsh Nilesh Pathak
N244	ANNOTATE: orgANizing uNstructured cOntenTs viA Topic labEls	Deepak Ajwani, Bilyana Taneva, Sourav Dutta, Pat Nicholson, Ghasem Nobari, and Alessandra Sala
N256	Reacting to Variations in Product Demand: An Application for Conversion Rate (CR) Prediction in Sponsored Search	Marcello Tallis and Pranjul Yadav
N257	A Smart System for Selection of Optimal Product Images in E-Commerce	Abon Chaudhuri, Paolo Messina, Samrat Kokkula, Aditya Subramanian, Abhinandan Krishnan, Shreyansh Gandhi, Alessandro Magnani, and Venkatesh Kandaswamy
N259	Finding Data Should be Easier than Finding Oil	Evgeny Kharlamov, Martin Skjaeveland, Theofilos Mailis, Ernesto Jimenez-Ruiz, Guohui Xiao, Ahmet Soylu, Hallstein Lie, and Arild Waaler
N265	Data models for service failure prediction in supply-chain networks	Monika Sharma, Tristan Glatard, Eric Gelinas, Mariam Tagmouti, and Brigitte Jaumard
Short Papers
N208	Focusing on the Big Picture: Insights into an End-to-End Systems Approach to Deep Learning for Satellite Imagery	Ritwik Gupta, Carson Sestili, Javier Vazquez-Trejo, and Matthew Gaston
N212	A Generic and Scalable Pipeline for Large-Scale Analytics of Continuous Operational Aircraft Engine Data	Florent Forest, Jérôme Lacaille, Mustapha Lebbah, and Hanene Azzag
N214	Large Scale Open Source Video Recommender Tool Using Metadata Surrogates	George Mathew, Steven Smith, and John Passarelli
N218	Distributed NoSQL Data Stores: Performance Analysis and a Case Study	Abdeltawab Hendawi, Jayant Gupta, Liu Jiayi, Ankur Teredesai, Ramakrishnan Naveen, Shah Mohak, and Mohamed Ali
N222	Using Real-World Store Data for Foot Traffic Forecasting	Soheila Abrishami and Piyush Kumar
N225	Root Cause Detection using Dynamic Dependency Graphs from Time Series Data	Syed Yousaf Shah, Xuan-Hong Dang, and Petros Zerfos
N227	A Complete Data Science Work-flow For Insurance Field	Mohammed Ghesmoune, Hanane Azzag, Mustapha Lebbah, Salima Benbernou, Mourad Ouziri, and Tarn Duong
N233	In situ TensorView: In situ Visualization of Convolutional Neural Networks	Xinyu Chen, Qiang Guan, Li-Ta Lo, Simon Su, Zhengyong Ren, James Ahrens, and Trilce Estrada
N234	Performance Prediction using Neural Network and Confidence Intervals: a Gas Turbine application.	Silvia Cisotto and Randa Herzallah
N235	Spatio-temproal prediction of crimes using network analytic approach	Saroj Dash, Ilya Safro, and Ravisutha Srinivasamurthy
N236	Predicting Individual Level Consumer Brand Preferences Using Persistent Mobility Patterns	Aravind Ravi and Kajanan Sangaralingam
N240	Big Data Streaming Analytics for QoE Monitoring in Mobile Networks: A Practical Approach	Diego F. Rueda, Dahyr Vergara, and David Reniz
N242	A Deterministic Self-Organizing Map Approach and its Application on Satellite Data based Cloud Type Classification	Wenbin Zhang, Jianwu Wang, Daeho Jin, Lazaros Oreopoulos, and Zhibo Zhang
N245	E-commerce Product Query Classification Using Implicit User's Feedback from Clicks	Yiu-Chang Lin and Ankur Datta
N246	Explainable Text Classification in Legal Document Review: A Case Study of Explainable Predictive Coding	Rishi Chhatwal, Peter Gronvall, Nathaniel Huber-Fliflet, Robert Keeling, Jianping Zhang, and Haozhen Zhao
N247	Augmenting Software Project Managers with Predictions from Machine Learning	Kalyan Veeramachaneni and Benjamin Schreck
N248	and anticipate: continuous learning to block malicious domains	Ignacio Arnaldo and Kalyan Veeramachaneni, Acquire, adapt
N249	A Batched Multi-Armed Bandit Approach to Dynamic News Headline Testing	Yizhi Mao, Miao Chen, Abhinav Wagle, Junwei Pan, Michael Natkovich, and Don Matheson
N250	Identifying Distracted and Drowsy Drivers	Sujay Yadawadkar, Brian Mayer, Sanket Lokegaonkar, Mohammad Raihanul Islam, Miao Song, Mike Mollenhauer, and Naren Ramakrishnan
N253	Performance Implications of Big Data in Scalable Deep Learning: On the Importance of Bandwidth and Caching	Miro Hodak, David Ellison, Peter Seidel, and Ajay Dholakia
N254	ChieF : A Change Pattern based Interpretable Failure Analyzer	Dhaval Patel, Lam Nguyen, Akshay Rangamani, Shrey Shrivastava, and Jayant kalagnanam
N255	NetDP: An Industrial-Scale Distributed Network Representation Framework for Default Prediction in Ant Credit Pay	Jianbin Lin, Zhiqiang Zhang, Jun Zhou, Xiaolong Li, Jingli Fang, Yanming Fang, Quan Yu, and Yuan Qi
N261	Towards Semantic Simplification of Analytical Workflows at Siemens (Extended Abstract)	Evgeny Kharlamov, Gulnar Mehdi, Ognjen Savkovic, Guohui Xiao, Steffen Lamparter, Arild Waaler, and Ian Horrocks
N264	I4TSPS: a Visual-Interactive Web System for Industrial Time Series Pre-processing	Kevin Villalobos, Jon Vadillo, Borja Diez, Borja Calvo, and Arantza Illarramendi