BigD529 Cloud based Real-Time and Low Latency Scientific Event
Analysis Chen Yang, Zhihui Du, and Xiaofeng Meng
L3 Semantic-based Data
Mining
BigD483 A Data-Centric Approach for Image Scene Localization
Abdullah Alfarrarjeh, Seon Ho Kim, Shivnesh Rajan, Akshay Deshmukh, and
Cyrus Shahabi
BigD753 Improved Dynamic Memory Network for Dialogue Act
Classification with Adversarial Training Yao Wan, Wenqiang Yan,
Jianwe
L4 Big Data
Applications: Machine Learning
BigD526 A Minimax Approach for Classification with Big-data Krishnan
Raghavan, Jagannathan Sarangapani, and VA Samaranayake
BigD445 Transfer learning for time series classification Hassan
Ismail Fawaz, Germain Forestier, Jonathan Weber, Lhassane Idoumghar, and
Pierre-Alain Muller
L5 Novel Theoretical
Models for Big Data
BigD357 Linear Models with Many Cores and CPUs: A Stochastic Atomic
Update Scheme Edward Raff and Jared Sylvester
BigD580 Time Series Classification Using a Neural Network Ensemble
Soukaina Filali Boubrahimi and Rafal Angryk
L6 Big Data Analytics
Frameworks
BigD336 Online Density Estimation over Streaming Data: A Local
Adaptive Solution Zhong Chen, Zhide Fang, Jiabin zhao, Wei Fan, Andrea
Edwards, and Kun Zhang
BigD397 Learning-based Automatic Parameter Tuning for Big Data
Analytics Frameworks Liang Bao, Xin Liu, and Weizhao Chen
L9
Recommendation Systems and Stream Data Management
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
BigD600 BigSR: real-time expressive RDF stream reasoning on modern
Big Data platforms Xiangnan Ren, Olivier Cure, Hubert Naacke, and
GuohuiXiao
L11 Big Data
Applications: Industry and Business
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
BigD685 An Unsupervised Learning Based Approach for Mining Attribute
Based Access Control Policies Leila Karimi and James Joshi
BigD285 Realtime Robustification of Interdependent Networks under
Cascading Attacks Zhen Chen, Hanghang Tong, and Lei Ying
BigD643 Situation-Based Interaction Learning for Personality
Prediction on Facebook Lei Zhang, Liang Zhao, Xuchao Zhang, Wenmo Kong,
Zitong Sheng, and Chang-Tien Lu
L12 Big Data
Applications: Health & Science Discovery
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
BigD456 A Structured Learning Approach with Neural Conditional
Random Fields for Sleep Staging Karan Aggarwal, Swaraj Khadanga, Shafiq
Joty, Louis Kazaglis, and Jaideep Srivastava
BigD402 Dynamic Prediction of ICU Mortality Risk Using Domain
Adaptation Tiago Alves, Alberto Laender, Adriano Veloso, and Nivio
Ziviani
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
L14 HPC Platforms for Big
Data
BigD294 Column Cache: Buffer Cache for Columnar Storage on HDFS
Takeshi Yoshimura, Tatsuhiro Chiba, and Hiroshi Horii
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
L17 Big Data
Applications: Deep Learning
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
BigD292 Market Abnormality Period Detection via Comovement 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
L18 Mobile and IoT Data
BigD371 Enabling of Predictive Maintenance in the Brownfield through
Low-Cost Sensors, an IIoT-Architecture and Machine Learning Patrick
Straus, Rene Wostmann, Markus Schmitz, and Jochen Deuse
BigD240 Using Smart Card Data to Model Commuters' Response Upon
Unexpected Train Delays Xiancai Tian and Baihua Zheng
BigD542 Hot Spot Analysis for Big Trajectory Data Panagiotis
Nikitopoulos, Aris-Iakovos Paraskevopoulos, Christos Doulkeridis, Nikos
Pelekis, and Yannis Theodoridis
BigD722 Fusion of Terrain Information and Mobile Phone Location Data
for Flood Area Detection in Rural Areas Takahiro Yabe, Kota Tsubouchi,
and Yoshihide Sekimoto
BigD296 Benchmarking Anomaly Detection Algorithms in an Industrial
Context: Dealing with Scarce Labels and Multiple Positive Types David
Renaudie, Maria A. Zuluaga, and Rodrigo AcunaAgost
L22 Privacy and Security
BigD247 Distributed Machine Learning Meets Blockchain: A
Decentralized, Secure, and Privacy-preserving Realization Xuhui Chen,
Jinlong Ji, Changqing Luo, Weixian Liao, and Pan Li
S1 Big Data Infrastructure
(1)
BigD291 Analyzing Alibaba's Co-located Datacenter Workloads Yue
Cheng, Ali Anwar, and Xuejing Duan
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
BigD381 Integrated Real-Time Data Stream Analysis and SketchBased
Video Retrieval in Team Sports Lukas Probst, Fabian Rauschenbach, Heiko
Schuldt, Philipp Seidenschwarz, and Martin Rumo
S5 Big Data Infrastructure
(2)
BigD252 Serverless Big Data Processing using Matrix Multiplication
as Example Sebastian Werner, Jorn Kuhlenkamp, Markus Klems, Johannes
Muller, and Stefan Tai
S6 Big Data Applications (2)
BigD535 Short-term local weather forecast using dense weather
station by deep neural network Kazuo Yonekura, Hitoshi Hattori, and
Taiji Suzuki
S12
Recommendation Systems & Stream Data Mining
BigD383 Learning Fast and Slow - A Unified Batch/Stream Framework
Jacob Montiel, Albert Bifet, Viktor Losing, Jesse Read, and Talel
Abdessalem
I&G Regular3: Big
Data Platforms & Frameworks
N211 Learning to Simplify Distributed Systems Management Christopher
Streiffer, Ramya Raghavendra, Theophilus Benson, and Mudhakar
Srivatsa
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
I&G Short3: Big
Data Algorithms & Systems (2)
N222 Using Real-World Store Data for Foot Traffic Forecasting
Soheila Abrishami and Piyush Kumar
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