IEEE BigData 2018の気になった論文を列挙する

IEEE, Machine Learning, Paper

参考情報

BigD529 Cloud based Real-Time and Low Latency Scientific Event Analysis Chen Yang, Zhihui Du, and Xiaofeng Meng

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

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

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

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

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

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

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

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

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

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

BigD247 Distributed Machine Learning Meets Blockchain: A Decentralized, Secure, and Privacy-preserving Realization Xuhui Chen, Jinlong Ji, Changqing Luo, Weixian Liao, and Pan Li

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

BigD252 Serverless Big Data Processing using Matrix Multiplication as Example Sebastian Werner, Jorn Kuhlenkamp, Markus Klems, Johannes Muller, and Stefan Tai

BigD535 Short-term local weather forecast using dense weather station by deep neural network Kazuo Yonekura, Hitoshi Hattori, and Taiji Suzuki

BigD383 Learning Fast and Slow - A Unified Batch/Stream Framework Jacob Montiel, Albert Bifet, Viktor Losing, Jesse Read, and Talel Abdessalem

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

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