IEEE Big Data 2017 Accepted Papers
Main Conference
| Paper ID | Regular Papers |
|---|---|
| BigD216 | Jonghyun Bae, Hakbeom Jang, Wenjing Jin, Jun Heo, Jaeyoung Jang, Joo-Young Hwang, Sangyeun Cho, and Jae W. Lee, Jointly Optimizing Task Granularity and Concurrency for In-Memory MapReduce Frameworks |
| BigD224 | Ichitaro Yamazaki, Stanimire Tomov, and Jack Dongarra, Sampling Algorithms to Update Truncated SVD |
| BigD233 | Guyue Han and Harish Sethu, Closed Walk Sampler: An Efficient Method for Estimating the Spectral Radius of Large Graphs |
| BigD238 | Yunming Zhang, Vladimir Kiriansky, Charith Mendis, Matei Zaharia, and Saman Amarasinghe, Making Caches Work for Graph Analytics |
| BigD252 | Ioannis Giannakopoulos, Dimitrios Tsoumakos, and Nectarios Koziris, A Decision Tree Based Approach Towards Adaptive Modeling of Big Data Applications |
| BigD254 | Bo Peng, Bingjing Zhang, Langshi Chen, Mihai Avram, Robert Henschel, Craig Stewart, Shaojuan Zhu, Emily Mccallum, Lisa Smith, Tom Zahniser, Jon Omer, and Judy Qiu, HarpLDA+: Optimizing Latent Dirichlet Allocation for Parallel Efficiency |
| BigD257 | Diego Marrón, Eduard Ayguadé, José R. Herrero, Jesse Read, and Albert Bifet, Low-latency Multi-threaded Ensemble Learning for Dynamic Big Data Streams |
| BigD260 | Alessandro Lulli, Luca Oneto, and Davide Anguita, Crack Random Forest for Arbitrary Large Datasets |
| BigD274 | Giambattista Amati, Simone Angelini, Giorgio Gambosi, Gianluca Rossi, and Paola Vocca, Estimation of distance-based metrics for very large graphs with MinHash Signatures |
| BigD276 | Jingyuan Zhang, Chunt-Ta Lu, Bokai Cao, Yi Chang and Philip S. Yu, Connecting Emerging Relationships from News via Tensor Factorization |
| BigD301 | Hiroshi Inoue, Fast Interpolation of Grid Data at a Non-Grid Point |
| BigD303 | Lei Zheng, Bokai Cao, Vahid Noroozi, Philip S. Yu, and Nianzu Ma, Hierarchical Collaborative Embedding for Context-Aware Recommendations |
| BigD313 | Pankaj Goel, Prerna Jain, Aniruddha Datta, and M.Sam Mannan, Application of Big Data analytics in process safety and risk management |
| BigD314 | Sreyasee Das Bhattacharjee, Ashit Talukder, and Bala Venkatram Balantrapu, Active Learning Based News Veracity Detection with Feature Weighting and Deep-Shallow Fusion |
| BigD316 | Pasan Karunaratne, Masud Moshtaghi, Shanika Karunasekera, Aaron Harwood, and Trevor Cohn, Multi-step Prediction with Missing Smart Sensor Data using Multi-task Gaussian Processes |
| BigD327 | Natascha Harth and Christos Anagnostopoulos, Quality-aware Aggregation & Predictive Analytics at the Edge |
| BigD333 | Luna Xu, Seung-Hwan Lim, Min Li, Ali R. Butt, and Ramakrishnan Kannan, Scaling Up Data-Parallel Analytics Platforms: Linear Algebraic Operation Cases |
| BigD343 | Haoyu Wang, Jiaqi Gong, Yan Zhuang, Haiying Shen, and John Lach, HealthEdge: Task Scheduling for Edge Computing with Health Emergency and Human Behavior Consideration in Smart Homes |
| BigD345 | Xiaowei Jia, Yifan Hu, Ankush Khandelwal, Anuj Karpatne, and Vipin Kumar, Joint Sparse Auto-encoder: A Semi-supervised Spatio-temporal Approach in Mapping Large-scale Croplands |
| BigD350 | Shahab Helmi and Farnoush Banaei-Kashani, Spatiotemporal Range Pattern Queries on Large-scale Co-movement Pattern Datasets |
| BigD351 | Lichao Sun, Xiaokai Wei, Jiawei Zhang, Lifang He, Philip S. Yu, and Witawas Srisa-an, Contaminant Removal for Malware Detection on Android |
| BigD357 | Abhinav Maurya and Rahul Telang, Bayesian Multi-View Models for Member-Job Matching and Personalized Skill Recommendations |
| BigD365 | Mai Nguyen, Daniel Crawl, Jianxin Li, Dylan Uys, and Ilkay Altintas, Automated Scalable Detection of Location-Specific Santa Ana Conditions from Weather Data using Unsupervised Learning |
| BigD368 | Konstantinos Lolos, Ioannis Konstantinou, Verena Kantere, and Nectarios Koziris, Elastic Management of Cloud Applications using Adaptive Markov Models |
| BigD375 | Eric Breck, Shanqing Cai, Eric Nielsen, Michael Salib, and D Sculley, The ML Test Score: A Rubric for ML Production Readiness and Technical Debt Reduction |
| BigD376 | Roohollah Etemadi and Jianguo Lu, Bias Correction in Clustering Coefficient Estimation |
| BigD379 | Sheng Li and Yun Fu, Robust Multi-Label Semi-Supervised Classification |
| BigD393 | Mohammad Asghari and Cyrus Shahabi, On On-line Task Assignment in Spatial Crowdsourcing |
| BigD394 | Valerie Hayot-Sasson, Yongping Gao, Yuhong Yan, and Tristan Glatard, Sequential algorithms to split and merge ultra-high resolution 3D images |
| BigD395 | Yuan Zhang, Chen Lin, Min Chi, Julie Ivy, Muge Capan, and Jeanne M. Huddleston, LSTM for Septic Shock: Adding Unreliable Labels to Reliable Predictions |
| BigD399 | Philipp Baumann, Dorit Hochbaum, and Quico Spaen, High-Performance Geometric Algorithms for Sparse Computation in Big Data Analytics |
| BigD402 | Panagiotis Liakos, Alexandros Ntoulas, and Alex Delis, CoEuS: Community Detection via Seed-set Expansion on Graph Streams |
| BigD404 | Panagiotis Liakos, Alexandros Ntoulas, and Alex Delis, Rhea: Adaptively Sampling Authoritative Content from Social Activity Streams |
| BigD409 | Xiaoli Li, Sai Nivedita Chandrasekaran, and Jun Huan, Lifelong Multi-Task Multi-View Learning Using Latent Spaces |
| BigD410 | Tong Yang, Binchao Yin, Hang Li, Muhammad Shahzad, Steve Uhlig, Bin Cui, and Xiaoming Li, Rectangular Hash Table: Bloom Filter and Bitmap Assisted Hash Table with High Speed |
| BigD418 | Yueyao Wang, Qinmin Vivian Hu, Yang Song, and Liang He, Potentiality of Healthcare Big data: Improving Search by Automatic Query Reformulation |
| BigD425 | Ilir Fetai, Alexander Stiemer, and Heiko Schuldt, QuAD: A Quorum Protocol for Adaptive Data Management in the Cloud |
| BigD432 | Foteini Katsarou, Nikos Ntarmos, and Peter Triantafillou, Hybrid Algorithms for Subgraph Pattern Queries in Graph Databases: An Evaluation |
| BigD433 | Chuxu Zhang, Lu Yu, Xiangliang Zhang, and Nitesh Chawla, ImWalkMF: Joint Matrix Factorization and Implicit Walk Integrative Learning for Recommendation |
| BigD437 | Axel-Cyrille Ngonga Ngomo, Michael Hoffmann, Ricardo Usbeck, and Kunal Jha, Holistic and Scalable Ranking of RDF Data |
| BigD439 | Alex Watson, Deepigha Vittal Babu, and Suprio Ray, Sanzu: A Data Science Benchmark |
| BigD448 | Natalia Ponomareva, Thomas Colthurst, Gilbert Hendry, Salem Haykal, and Soroush Radpour, C ompact Multi-Class Boosted Trees |
| BigD449 | Chandramani Chaudhary, Poonam Goyal, and Yi-Ping Phoebe Chen, Exploiting Visual and Textual Neighborhood Information to Improve Image-Tag Relevance |
| BigD457 | Alec Heifetz, Vaikkunth Mugunthan, and Lalana Kagal, Shade: A Differentially-Private Wrapper For Enterprise Big Data |
| BigD462 | Baoxin Zhao, Cheng-Zhong Xu, and Siyuan Liu, A Data-Driven Congestion Diffusion Model for Characterizing Traffic in Metrocity Scales |
| BigD476 | Sheikh Motahar Naim, Arnold Boedihardjo, and M. Shahriar Hossain, A Scalable Model for Tracking Topical Evolution in Large Document Collections |
| BigD491 | Cheng-Chin Tu, Mi-Yen Yeh, and Tei-Wei Kuo, A Fast Non-Volatile Memory aware Algorithm for Generating Random Scale-Free Networks |
| BigD497 | Haekyu Park, Jinhong Jung, and U Kang, A Comparative Study of Matrix Factorization and Random Walk with Restart in Recommender Systems |
| BigD505 | Nguyen Vo, Kyumin Lee, and Thanh Tran, MRAttractor: Detecting Communities from Large-Scale Graphs |
| BigD512 | Jianfeng Jia, Chen Li, and Michael Carey, Drum: A Rhythmic Approach to Interactive Analytics on Large Data |
| BigD516 | Kalyan Veeramachaneni, Thomas Swearingen, and Arun Ross, Delphi: A multi-user, multi-method cloud based model exploration system |
| BigD520 | Meng-Fen Chiang, Ee-Peng Lim, Wang-Chien Lee, and Agus Trisnajaya Kwee, BTCI: a New Framework for Identifying Congestion Cascades Using Bus Trajectory Data |
| BigD525 | Mehrnaz Najafi, Lifang He, and Philip S. Yu, Error-Robust Multi-View Clustering |
| BigD526 | Daniel (Yue) Zhang, Dong Wang, and Yang Zhang, Constraint-Aware Dynamic Truth Discovery in Big Data Social Media Sensing |
| BigD527 | Nathanael Cheriere and Gabriel Antoniu, How Fast Can One Scale Down a Distributed File System? |
| BigD539 | Lorenzo De Stefani, Erisa Terolli, and Eli Upfal, Tiered Sampling: An Efficient Method for Approximate Counting Sparse Motifs in Massive Graph Streams |
| BigD549 | Jim Pivarski, Peter Elmer, Brian Bockelman, and Zhe Zhang, Fast Access to Columnar, Hierarchical Data via Code Transformation |
| BigD552 | Xinli Yu, Zheng Chen, Jianliang Gao, Bo Song, Wei-Shih Yang, Bo Ji, Xiaohua Hu, and Erjia Yan, Large-Scale Joint Topic, Sentiment & User Preference Analysis for Online Reviews |
| BigD560 | Suchismit Mahapatra and Varun Chandola, S-Isomap++: Multi Manifold Learning from Streaming Data |
| BigD564 | Jun Hu, Yuxin Wang, and Ping Li, Online City-scale Hyper-local Event Detection via Analysis of Social Media and Human Mobility |
| BigD571 | Srinivasan Venkatramanan, Sichao Wu, Bowen Shi, Achla Marathe, Madhav Marathe, Stephen Eubank, Lalit Sah, A.P. Giri, Luke Colavito, Nitin S, Sridhar V, Asokan R, Rangaswamy Muniappan, George Norton, and Abhijin Adiga, Towards Robust Models of Food Flows and Their Role in Invasive Species Spread |
| BigD590 | Vachik Dave, Nesreen Ahmed, and Mohammad Hasan, E-CLoG: Counting Edge-Centric Local Graphlets |
| BigD594 | Balaji Palanisamy, Chao Li, and Prashant Krishnamurthy, Group Privacy-aware Disclosure of Association Graph Data |
| BigD596 | Yuki Ito, Ryo Matsumiya, and Toshio Endo, ooc_cuDNN: Accommodating Convolutional Neural Networks over GPU Memory Capacity |
| BigD602 | Sarasi Lalithsena, Sujan Perera, Pavan Kapanipathi, and Amit Sheth, Domain-specific Hierarchical Subgraph Extraction: A Recommendation Use Case |
| BigD604 | Chao Shang, Aaron Palmer, Jiangwen Sun, Ko-Shin Chen, Jin Lu, and Jinbo Bi, VIGAN: Missing View Imputation with Generative Adversarial Networks |
| BigD608 | Yizhou Yan, Lei Cao, and Elke Rundensteiner, Distributed Top-N Local Outlier Detection in Big Data |
| BigD612 | Ahsanul Haque, Bo Dong, Yifan Li, Yang Gao, Latifur Khan, and Mohammad Masud, Multistream Regression with Asynchronous Concept Drift Detection |
| BigD613 | Limeng Cui, Jiawei Zhang, Zhensong Chen, Yong Shi, and Philip S. Yu, Inverse Extreme Learning Machine for Learning with Label Proportions |
| BigD635 | Lei Huang, Weijia Xu, Si Liu, Venktesh Pandey, and Natalia Ruiz Juri, Enabling Versatile Analysis of Large Scale Traffic Video Data with Deep Learning and HiveQL |
| BigD643 | Xiaodong Yu, Kaixi Hou, Hao Wang, and Wu-chun Feng, Hierarchical Automata Construction for Approximate Pattern Matching on Automata Processors |
| BigD645 | Shashank Gugnani, Xiaoyi Lu, Houliang Qi, Li Zha, and Dhabaleswar K. Panda, Characterizing and Accelerating Indexing Techniques on Distributed Ordered Tables |
| BigD646 | Feng Chen, Chunpai Wang, and Jin-Hee Cho, Collective Subjective Logic: Scalable Uncertainty-based Opinion Inference |
| BigD648 | Ismini Lourentzou, Alex Morales, and Chengxiang Zhai, Text-based Geolocation Prediction of Social Media Users with Neural Networks |
| BigD649 | Arnab K. Paul, Arpit Goyal, Feiyi Wang, Sarp Oral, Ali R. Butt, Michael J. Brim, and Sangeetha B. Srinivasa, I/O Load Balancing for Big Data HPC Applications |
| BigD650 | HyeongSik Kim, Padmashree Ravindra, and Kemafor Anyanwu, A Semantics-Aware Storage Framework for Scalable Processing of Knowledge Graphs on Hadoop |
| BigD657 | Xiaoyi Lu, Haiyang Shi, Dipti Shankar, and Dhabaleswar K. Panda, Performance Characterization and Acceleration of Big Data Workloads on OpenPOWER System |
| BigD664 | Ryoya Kaneko, Kohei Miyaguchi, and Kenji Yamanishi, Detecting Changes in Streaming Data with Information-Theoretic Windowing |
| BigD669 | Xi Zhang, Yu Zeng, Xiao-Bo Jin, Zhi-Wei Yan, and Guang-Gang Geng, Boosting the Phishing Detection Performance by Semantic Analysis |
| Paper ID | Short Papers |
|---|---|
| BigD213 | Dingwen Tao, Sheng Di, Zizhong Chen, and Franck Cappello, In-Depth Exploration of Single-Snapshot Lossy Compression Techniques for N-Body Simulations |
| BigD219 | Mohammad Ghassemi, Willow Jarvis, Tuka Alhanai, Emery Brown, Roger Mark, and M. Brandon Westover, An Open-Source Tool For The Transcription of Paper-Spreadsheet Data |
| BigD220 | Giuseppe Cuccu, Somayeh Danafar, Philippe Cudré-Mauroux, Martin Gassner, Stefano Bernero, and Krzysztof Kryszczuk, A Data-Driven Approach to Predict NOx-Emissions of Gas Turbines |
| BigD230 | Isabelle Comyn-Wattiau and Jacky Akoka, Model-Driven Reverse Engineering of NoSQL Property Graph Databases |
| BigD231 | Allard Jan-Jaap van Altena, Perry D Moerland, Aeilko H Zwinderman, and Sílvia Delgado Olabarriaga, Analysis of the Term 'Big Data': Usage in Biomedical Publications |
| BigD234 | Juan Colmenares, Reza Dorrigiv, and Daniel Waddington, A Single-Node Datastore for High-Velocity Multidimensional Sensor Data |
| BigD236 | Michael Mercier, David Glesser, Yiannis Georgiou, and Olivier Richard, Big Data and HPC collocation: Using HPC idle resources for Big Data Analytics |
| BigD237 | Christian Schmid and Bruce Desmarais, Exponential Random Graph Models with Big Networks: Maximum Pseudolikelihood Estimation and the Parametric Bootstrap |
| BigD239 | Diego Granziol and Stephen Roberts, Entropic Determinants |
| BigD247 | Zhihua Zhu, Di Yao, Jianhui Huang, and Jingping Bi, Sub-trajectory- and Trajectory-Neighbor-based Outlier Detection over Trajectory Streams |
| BigD264 | Tingyang Xu, Tan Yan, Dongjin Song, Wei Cheng, Haifeng Chen, Geoff Jiang, and Jinbo Bi, Identifying and Quantifying Nonlinear Structured Relationships in Complex Manufactural Systems |
| BigD266 | Xibo Zhou, Ye Ding, Fengchao Peng, Qiong Luo, and Lionel M. Ni, Detecting Unmetered Taxi Rides from Trajectory Data |
| BigD294 | Hoang Anh Dau, Diego Furtado Silva, François Petitjean, Germain Forestier, Anthony Bagnall, and Eamonn Keogh, Judicious Setting of Dynamic Time Warping’s Warping Window Width allows more Accurate Classification of Time Series |
| BigD309 | Ankit Desai and Sanjay Chaudhary, Distributed Decision Tree v.2.0 |
| BigD310 | Zaineb Chelly Dagdia, Christine Zarges, Gaël Beck, and Mustapha Lebbah, A Distributed Rough Set Theory based Algorithm for an Efficient Big Data Pre-processing under the Spark Framework |
| BigD317 | Marzieh Bakhshandeh, Dennis M.M. Schunselaar, Henrik Leopold, and Hajo A. Reijers, Improving Cost and Quality of Care by Predicting Treatment Iterations \\in the Dental Implantology Process |
| BigD318 | Heng Zhou and Haiying Shen, CStorage: An Efficient Classification-based Image Storage System in Cloud Datacenters |
| BigD321 | Dong Chen and David Irwin, Weatherman: Exposing Weather-based Privacy Threats in Big Energy Data |
| BigD323 | Jiuyong Li, Jixue Liu, Lin Liu, Thuc Le, Saisai Ma, and Yizhao Han, Discrimination detection by causal effect estimation |
| BigD331 | Chenwei Zhang, Nan Du, Wei Fan, Yaliang Li, Chun-Ta Lu, and Philip S. Yu, Bringing Semantic Structures to User Intent Detection in Online Medical Queries |
| BigD335 | Byron Gao, Robert Tung, and Yong Yang, Iterative Matrix Correlation for Bisection Clustering |
| BigD349 | Xueying Guo, George Trimponias, Xiaoxiao Wang, Zhitang Chen, Yanhui Geng, and Xin Liu, Cellular Network Configuration via Online Learning and Joint Optimization |
| BigD356 | Fengchao Peng, Yudian Ji, Qiong Luo, and Lionel M. Ni, Event-Based Non-Parametric Clustering of Team Sport Trajectories |
| BigD361 | Jian Cao, Personalized Flight Recommendations via Paired Choice Modeling |
| BigD362 | Ashish Tapdiya and Daniel Fabbri, A comparative analysis of state-of-the-art SQL-on-Hadoop systems for interactive analytics |
| BigD369 | Dapeng Dong and John Herbert, Compressed Domain-Specific Data Processing and Analysis |
| BigD373 | Helge Holzmann, Vinay Goel, and Emily Novak Gustainis, Universal Distant Reading through Metadata Proxies with ArchiveSpark |
| BigD374 | Ilia Pietri, Yannis Chronis, and Yannis Ioannidis, Multi-objective Optimization of Scheduling Dataflows on Heterogeneous Cloud Resources |
| BigD382 | Alexander Denzler and Michael Kaufmann, Toward Granular Knowledge Analytics for Data Intelligence |
| BigD385 | Sheng Li, Hongfu Liu, Zhiqiang Tao, and Yun Fu, Multi-View Graph Learning with Adaptive Label Propagation |
| BigD387 | Liang Ma, Guohong Cao, and Lance Kaplan, Graphical Approach for Influence Maximization in Social Networks Under Generic Threshold-based Non-submodular Model |
| BigD391 | Hasan Kurban and Mehmet Dalkilic, A novel approach to optimization of iterative machine learning algorithms: over heap structure |
| BigD392 | Xiao Meng and Lukasz Golab, Optimal Reducer Placement to Minimize Data Transfer in MapReduce-Style Processing |
| BigD400 | Masato Asahara and Ryohei Fujimaki, Distributed Bayesian Piecewise Sparse Linear Models |
| BigD403 | Yuchang Xu and Jian Cao, OTPS: A Decision Support Service for Optimal Airfare Ticket Purchase |
| BigD415 | Xinhui Tian, Yuanqing Guo, and Jianfeng Zhan, Towards Memory and Computation Efficient Graph Processing on Spark |
| BigD416 | Shuo Wang, Richard Sinnott, and Surya Nepal, Privacy-protected Place of Activity Mining on Big Location Data |
| BigD417 | Shuo Wang, Richard Sinnott, and Surya Nepal, Sensitive Gazetteer Discovery and Protection for Mobile Social Media Users |
| BigD428 | Masahiro Yokoyama, Takahiro Hara, and Sanjay Madria, Efficient Diversified Set Monitoring for Mobile Sensor Stream Environments |
| BigD429 | Ramyar Saeedi, Skyler Norgaard, and Assefaw Gebremedhin, A Closed-loop Deep Learning Architecture for Robust Activity Recognition using Wearable Sensors |
| BigD430 | Mohammad Hossein Namaki, Peng Lin, and Yinghui Wu, Event Pattern Discovery by Keywords in Graph Streams |
| BigD441 | Ebad Ahmadzadeh and Philip Chan, Mining Pros and Cons of Actions from Social Media for Decision Support |
| BigD442 | Celestine Dünner, Thomas Parnell, Kubilay Atasu, Manolis Sifalakis, and Haralampos Pozidis, Understanding and Optimizing the Performance of Distributed Machine Learning Applications on Apache Spark |
| BigD445 | Daniel (Yue) Zhang, Dong Wang, Hao Zheng, Xin Mu, Qi Li, and Yang Zhang, Large-scale Point-of-Interest Category Prediction Using Natural Language Processing Models |
| BigD446 | Angelo Furno, Nour Eddin El Faouzi, Rajesh Sharma, and Eugenio Zimeo, Two-level Clustering Fast Betweenness Centrality Computation for Requirement-driven Approximation |
| BigD450 | Tianqing Zhu, Ping Xiong, Gang Li, Wanlei Zhou, and Philip S. Yu, Differentially Private Query Learning: from Data Publishing to Model Publishing |
| BigD454 | Xing Su, Yuan Yao, Qing He, Jie Lu, and Hanghang Tong, Personalized Travel Mode Detection with Smartphone Sensors |
| BigD455 | Chuishi Meng, Yu Cui, Qing He, Lu Su, and Jing Gao, Travel Purpose Inference with GPS Trajectories, POIs, and Geo-tagged Social Media Data |
| BigD463 | Ming Zeng, Tong Yu, Xiao Wang, Le T. Nguyen, Ole J. Mengshoel, Ian Lane, and Joy Zhang, Semi-Supervised Convolutional Neural Networks for Human Activity Recognition |
| BigD464 | Yangwen Yu, James J. Q. Yu, Victor O. K. Li, and Jacqueline C. K. Lam, Low-rank Singular Value Thresholding for Recovering Missing Air Quality Data |
| BigD469 | Zhitang Chen, Ke He, Jian Li, and Yanhui Geng, Seq2Img: A Sequence-to-Image based Approach Towards IP Traffic Classification using Convolutional Neural Networks |
| BigD471 | Naama Kraus, David Carmel, and Idit Keidar, Fishing in the Stream: Similarity Search over Endless Data |
| BigD473 | Nikos Zacheilas, Stathis Maroulis, and Vana Kalogeraki, Dione: Profiling Spark Applications Exploiting Graph Similarity |
| BigD475 | Lars Arge, Mathias Rav, Svend C. Svendsen, and Jakob Truelsen, External Memory Pipelining Made Easy With TPIE |
| BigD493 | Bilal Akil and Uwe Roehm, On the Usability of Hadoop MapReduce, Apache Spark & Apache Flink for Data Science |
| BigD496 | Jiankun Huang and Wenjun Wu, T-BMIRT: Estimating Representations of Student Knowledge and Educational Components in Online Education |
| BigD501 | Amit Pande and Vishal Ahuja, WEAC: Word Embeddings for Anomaly Classification from Event Logs |
| BigD506 | Xian Wu, Yuxiao Dong, Jun Tao, Chao Huang, and Nitesh Chawla, Reliable Fake Review Detection via Modeling Temporal and Behavioral Patterns |
| BigD511 | Hung Tran-The and Koji Zettsu, Discovering Co-occurrence Patterns of Heterogeneous Events from Unevenly-distributed Spatiotemporal Data |
| BigD515 | Tatsuru Kobayashi, Shin Matsushima, Lee Taito, and Kenji Yamanishi, Discovering Potential Traffic Risk in Japan using Supervised Learning Approach |
| BigD528 | Martin Koehler, Alex Bogatu, Cristina Civili, Nikolaos Konstantinou, Edward Abel, Alvaro A A Fernandes, John Keane, Leonid Libkin, and Norman W. Paton, Data Context Informed Data Wrangling |
| BigD531 | Wenbo Zhang, Dheeraj Kumar, and Satish Ukkusuri, Exploring the Dynamics of Surge Pricing in Mobility-on-Demand Taxi Services |
| BigD541 | Sam Wood, Rohit Muthyala, Yi Jin, Hua Gao, Yixing Qin, Amit Rai, and Nilaj Rukadikar, Automated Industry Classification with Deep Learning |
| BigD547 | Michael Nelson, Sridhar Radhakrishnan, Amlan Chatterjee, and Chandra Sekharan, Queryable Compression on Streaming Social Networks |
| BigD557 | Kubilay Atasu, Thomas Parnell, Celestine Duenner, Manolis Sifalakis, Haralampos Pozidis, Vasileios Vasileiadis, Michail Vlachos, Cesar Berrospi, and Abdel LAbbi, Scalable Document Similarity Using Linear-Complexity Word Mover's Distance |
| BigD559 | Aritra Mandal and Mohammad Al Hasan, A Distributed k-Core Decomposition Algorithm on Spark |
| BigD579 | Mohiuddin Solaimani, Sayeed Salam, and Latifur Khan, RePAIR: Recommend Political Actors In Real-time From News Websites |
| BigD581 | Robert Bridges, Jessie Jamieson, and Joel Reed, Setting the threshold for high throughput detectors: A mathematical approach for ensembles of dynamic, heterogeneous, probabilistic anomaly detectors |
| BigD583 | Takeaki Uno, Hiroki Maegawa, Takanobu Nakahara, Yukinobu Hamuro, Ryo Yoshinaka, and Makoto Tatsuta, Micro-Clustering by Data Polishing |
| BigD585 | Xinjiang Lu, Zhiwen Yu, Chuanren Liu, Yanchi Liu, Hui Xiong, and Bin Guo, Forecasting the Rise and Fall of Volatile Point-of-Interests |
| BigD591 | Axel Oehmichen, Florian Guitton, Kai Sun, Jean Grizet, Thomas Heinis, and Yike Guo, eTRIKS Analytical Environment: A Modular High Performance Framework for Medical Data Analysis |
| BigD593 | Chung Ming Cheung, Palash Goyal, Viktor K. Prasanna, and Arash Saber Tehrani, OReONet: Deep Convolutional Network for Oil Reservoir Optimization |
| BigD618 | Jose Cadena, Saliya Ekanayake, and Anil Vullikanti, Fast Graph Scan Statistics Optimization Using Algebraic Fingerprints |
| BigD622 | Mohammed Alawad, Hong-Jun Yoon, and Georgia Tourassi, Energy Efficient Stochastic-Based Deep Spiking Neural Networks for Sparse Datasets |
| BigD633 | Poonam Goyal, Jagat Sesh Challa, Shivin Shrivastava, and Navneet Goyal, AnyFI: An Anytime Frequent Itemset Mining Algorithm for Data Streams |
| BigD638 | Sumit Purohit, Lawrence Holder, and Sutanay Choudhury, Application-Specific Graph Sampling for Frequent Subgraph Mining and Community Detection |
| BigD641 | Er-Chen Huang, Hsing-Kuo Pao, and Yuh-Jye Lee, Big Active Learning |
| BigD661 | Jennifer Sleeman, Milton Halem, Tim Finin, and Mark Cane, Big Data Cross-Domain Dynamic Topic Modeling Analytics for Discovering Scientific Influence |
| BigD662 | Hu Xu, Sihong Xie, Lei Shu, and Philip S. Yu, Product Function Need Recognition via Semi-supervised Attention Network |
| BigD663 | MD S Q Zulkar Nine, Kemal Guner, Ziyun Huang, Xiangyu Wang, Jinhui Xu, and Tevfik Kosar, Big Data Transfer Optimization Based on Offline Knowledge Discovery and Adaptive Real-time Sampling |
| BigD665 | Md Wasi-ur- Rahman, Nusrat Islam, Xiaoyi Lu, and Dhabaleswar Panda, NVMD: Non-Volatile Memory Assisted Design for Accelerating MapReduce and DAG Execution Frameworks on HPC Systems |
| BigD673 | Lina Yu, Michael Rilee, Yu Pan, Feiyu Zhu, Kwo-Sen Kuo, and Hongfeng Yu, Visual Analytics with Unparalleled Variety Scaling for Big Earth Data |
| BigD677 | Alexander Ulanov, Manish Marwah, Mijung Kim, Roshan Dathathri, Carlos Zubieta, and Jun Li, Sandpiper: Scaling Probabilistic Inferencing to Large Scale Graphical Models |
| BigD678 | Emanuele Massaro, Stanislav Sobolevsky, Iva Bojic, Juan Murillo Arias, and Carlo Ratti, Predicting regional economic indices using big data of individual bank card transactions |
| BigD679 | Ricardo Baeza-Yates and Zeinab Liaghat, Quality-Efficiency Trade-offs in Machine Learning for Text Processing |
| BigD680 | Peter Baumann, Standardizing Big Earth Datacubes |
| BigD682 | Salima Benbernou and Mourad Ouziri, Enhancing Data Quality by Cleaning Inconsistent Big RDF Data. |
Industry and Government
| Paper ID | Regular Papers |
|---|---|
| N205 | Lay Wai Kong, Performance Optimization In Scale-out Storage Using Design Of Experiment As Heuristic |
| N209 | Yihua Astle, Xuning Tang, and Craig Freeman, Application of Dynamic Logistic Regression with Unscented Kalman Filter in Predictive Coding |
| N210 | Mansurul Bhuiyan and Mohammad Hasan, RAVEN: Web-based Smart Home Exploration System Through Interactive Pattern Discovery |
| N214 | Ishita Khan, Prathyusha Senthil Kumar, Daniel Miranda, and David Goldberg, What is Skipped: Finding Desirable Items in E-Commerce Search by Discovering the Worst Title Tokens |
| N215 | Warut D. Vijitbenjaronk, Jinho Lee, and Toyotaro Suzumura, Scalable Time-Versioning Support for Property Graph Databases |
| N217 | Xuchao Zhang, Liang Zhao, Zhiqian Chen, Arnold Boedihardjo, Dai Jing, and Chang-Tien Lu, Trendi: Tracking Stories in News and Microblogs via Emerging, Evolving and Fading Topics |
| N218 | Zhiwei Zhang, Ning Chen, Jun Wang, and Luo Si, SMART: Sponsored Mobile App RecommendaTion by Balancing App Downloads and Appstore Profit |
| N220 | Justin McHugh, Paul Cuddihy, Jenny Williams, Kareem Aggour, Vijay Kumar, and Varish Mulwad, Integrated Access to Big Data Polystores through a Knowledge-driven Framework |
| N221 | Jacob Montiel, Albert Bifet, and Talel Abdessalem, Predicting Over-Indebtedness on Batch and Streaming Data |
| N223 | Syed Yousaf Shah, Zengwen Yuan, Songwu Lu, and Petros Zerfos, Dependency Analysis of Cloud Applications for Performance Monitoring using Recurrent Neural Networks |
| N226 | Derrick Spell, Xiao-Han Zeng, Jae-Young Chung, Bahador Nooraei, Ricki Shomer, Ling-Yong Wang, James Gibson, and Daniel Kirsche, Flux: Groupon's automated, scalable machine learning platform |
| N229 | Wen-Yuan Zhu, Wen-Yueh Shih, Ying-Hsuan Lee, Wen-Chih Peng, and Jiun-Long Huang, A Gamma-based Regression for Winning Price Estimation in Real-Time Bidding Advertising |
| N231 | Nenad Stojanovic, Marko Dinic, and Ljiljana Stojanovic, A data-driven approach for multivariate contextualized anomaly detection: industry use case |
| N233 | Timothy Kennedy, Robert Provence, James Broyan, Patrick Fink, Phong Ngo, and Lazaro Rodriguez, Topic Models for RFID Data Modeling and Localization |
| N236 | Ye Ouyang and Zhongyuan Li, APP-SON: Application Characteristics Driven SON to Optimize 4/5G Network Performance and Quality of Experience |
| N239 | Karthikeyan Natesan Ramamurthy, Dennis Wei, Emily Ray, Moninder Singh, Vijay Iyengar, Dmitriy Katz-Rogozhnikov, Jingwei Yang, Kevin Tran, and Gigi Yuen-Reed, A Configurable, Big Data System for On-Demand Healthcare Cost Prediction |
| N240 | Nathaniel Huber-Fliflet, Jianping Zhang, Haozhen Zhao, Robert Keeling, and Rishi Chhatwal, Empirical Evaluations of Active Learning Strategies in Legal Document Review |
| N241 | Zheng Chen, Xinli Yu, Chi Zhang, Jin Zhang, Cui Lin, Xiaohua Hu, Erjia Yan, and Wei-Shih Yang, Fast Botnet Detection From Streaming Logs Using Online Lanczos Method |
| N242 | Xiaomo Liu, Armineh Nourbakhsh, Quanzhi Li, Sameena Shah, Robert Martin, and John Duprey, Reuters Tracer: Toward Automated News Production Using Large Scale Social Media Data |
| N243 | Yuheng Du, Alexander Herzog, Andre Luckow, Ramu Nerella, and Amy Apon, Representativeness of Latent Dirichlet Allocation Topics Estimated from Data Samples with Application to Common Crawl |
| N250 | Simon Bin, Patrick Westphal, Jens Lehmann, and Axel-Cyrille Ngonga Ngomo, Implementing Scalable Structured Machine Learning for Big Data in the SAKE Project |
| N251 | Vijil Chenthamarakshan, Dharmashankar Subramanian, Debarun Bhattachrajya, Ruben Torrado, Jeff Kephart, and Jesus Rios, A Cognitive Assistant for Risk Identification and Modeling |
| N252 | Youngho Kim, Petros Zerfos, Vadim Sheinin, and Nancy Greco, Ranking the Importance of Ontology Concepts Using Document Summarization Techniques |
| N260 | Hyunjong Lee, Youngin Jo, Sanghyuk Chun, and Gwangseop Gim, A Study on Intelligent Personalized Push Notification with User History |
| Paper ID | Short Papers |
|---|---|
| N206 | George Mathew, Architectural Considerations for Highly Scalable Computing to Support On-demand Video Analytics |
| N211 | Giannis Spiliopoulos, Konstantinos Chatzikokolakis, Dimitrios Zissis, Evmorfia Biliri, Dimitrios Papaspyros, and Giannis Tsapelas, Knowledge extraction from maritime spatiotemporal data: An evaluation of clustering algorithms on Big Data |
| N224 | Martin Ringsquandl, Steffen Lamparter, Evgeny Kharlamov, Raffaello Lepratti, Daria Stepanova, Peer Kröger, and Ian Horrocks, On Event-Driven Leaning of Knowledge in Smart Factories: The Case of Siemens |
| N232 | Xuchao Zhang, Zhiqian Chen, Liang Zhao, Arnold Boedihardjo, and Chang-Tien Lu, TRACES: Generating Twitter Stories via Shared Subspace and Temporal Smoothness |
| N234 | Leonardo Maria Millefiori, Paolo Braca, and Gianfranco Arcieri, Scalable Distributed Change Detection and its Application to Maritime Traffic |
| N245 | Nirupama Appikatala, Miao Chen, Michael Natkovich, and Joshua Walters, Demystifying Dark Matter for Online Experimentation |
| N247 | Russell Chen, Miao Chen, Mahendrasinh Ramsinh Jadav, Joonsuk Bae, and Don Matheson, Faster Online Experimentation by Eliminating Traditional A/A Validation |
| N249 | Kevin Pratt, Linking Many Unusual Co-Incidences |
| N255 | Neela Avudaiappan, Alexander Herzog, Sneha Kadam, Yuheng Du, Jason Thatcher, and Ilya Safro, Detecting and Summarizing Emergent Events in Microblogs and Social Media Streams by Dynamic Centralities |
| N257 | Ferosh Jacob, Ilamgumaran Karunanithi, Pramod Salian, and Ravi Sambhu, BBC: A DSL for Designing Cloud-based Heterogeneous Bigdata Pipelines |
| N258 | Emmanuel Oyekanlu, Predictive Edge Computing for Time Series of Industrial IoT and Large Scale Critical Infrastructure based on Open-source Software Analytics of Big Data |
| N262 | A Nambiar, N Reddy, and Debo Dutta, Connected Health: Opportunities and Challenges |