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BigData Congress 2017: Honolulu, HI, USA
- George Karypis, Jia Zhang:
2017 IEEE International Congress on Big Data, BigData Congress 2017, Honolulu, HI, USA, June 25-30, 2017. IEEE Computer Society 2017, ISBN 978-1-5386-1996-4
BigData Congress Research Track
Research Session 1: Machine Learning for Big Data
- Nai Chun Chen, Wanqin Xie, Roy E. Welsch, Kent Larson, Jenny Xie:
Comprehensive Predictions of Tourists' Next Visit Location Based on Call Detail Records Using Machine Learning and Deep Learning Methods. 1-6 - Hao Peng, Zhe Jin, John A. Miller
:
Bayesian Networks with Structural Restrictions: Parallelization, Performance, and Efficient Cross-Validation. 7-14 - Junhua Ding, Jiabin Wang, Xiaojun Kang, Xin-Hua Hu:
Building an SVM Classifier for Automated Selection of Big Data. 15-22
Research Session 2: Big Data Analytics Framework
- Harshad Deshmukh, Hakan Memisoglu, Jignesh M. Patel:
Adaptive Concurrent Query Execution Framework for an Analytical In-Memory Database System. 23-30 - Alexandru Iulian Orhean, Itua Ijagbone, Ioan Raicu, Kyle Chard, Dongfang Zhao:
Toward Scalable Indexing and Search on Distributed and Unstructured Data. 31-38 - Antorweep Chakravorty, Chunming Rong
Scalable, Efficient Anonymization with INCOGNITO - Framework & Algorithm. 39-48
Research Session 3: Big Data Privacy and Protection
- Chao Li
Differentially Private Trajectory Analysis for Points-of-Interest Recommendation. 49-56 - Stacey Truex, Ling Liu, Mehmet Emre Gursoy, Lei Yu
Privacy-Preserving Inductive Learning with Decision Trees. 57-64 - Pradeep Kumar, H. Howie Huang
SafeNVM: A Non-Volatile Memory Store with Thread-Level Page Protection. 65-72
Research Session 4: Social Big Data
- Yan Mei, Weiliang Zhao
Maximizing the Effectiveness of Advertising Campaigns on Twitter. 73-80 - Nicolai H. Egebjerg, Niklas Hedegaard, Gerda Kuum, Raghava Rao Mukkamala
Big Social Data Analytics in Football: Predicting Spectators and TV Ratings from Facebook Data. 81-88 - Nadiya Straton
Big Social Data Analytics for Public Health: Predicting Facebook Post Performance Using Artificial Neural Networks and Deep Learning. 89-96
Research Session 5: Big Data Systems
- Liping Zhao
An Integrated Software System for Supporting Real-Time Near-Infrared Spectral Big Data Analysis and Management. 97-104 - Claudio A. Ardagna
A Model-Driven Methodology for Big Data Analytics-as-a-Service. 105-112 - Yongchao Tian, Pietro Michiardi, Marko Vukolic:
Bleach: A Distributed Stream Data Cleaning System. 113-120
Research Session 6: Big Data Performance
- Sai C. Pallaprolu, Rishi Sankineni, Muthukumar Thevar, George Karabatis, Jianwu Wang:
Zero-Day Attack Identification in Streaming Data Using Semantics and Spark. 121-128 - Venkatraman Govindaraju, Sam Idicula, Sandeep R. Agrawal, Venkatanathan Vardarajan, Arun Raghavan, Jarod Wen, Cagri Balkesen, Georgios Giannikis, Nipun Agarwal, Eric Sedlar:
Big Data Processing: Scalability with Extreme Single-Node Performance. 129-136 - Nathalie Kaligirwa, Eleazar Leal, Le Gruenwald, Jianting Zhang, Simin You:
Parallel Compression and Indexing of Large-Scale Geospatial Raster Data with GPGPUs. 137-144
Research Session 7: Resource Management in Big Data
- Lauritz Thamsen, Benjamin Rabier, Florian Schmidt, Thomas Renner, Odej Kao:
Scheduling Recurring Distributed Dataflow Jobs Based on Resource Utilization and Interference. 145-152 - Bikash Agrawal, Jayachander Surbiryala, Chunming Rong
Resource Allocation in Cloud-Based Distributed Cameras. 153-160 - Son-Hai Ha, Patrick Brown, Pietro Michiardi:
Resource Management for Parallel Processing Frameworks with Load Awareness at Worker Side. 161-168
Research Session 8: Big Data Processing
- Wilson A. Higashino, Miriam A. M. Capretz, Luiz F. Bittencourt:
CEPaaS: Complex Event Processing as a Service. 169-176 - Huaming Chen, Jiangning Song
Towards Elucidating the Structural Principles of Host-Pathogen Protein-Protein Interaction Networks: A Bioinformatics Survey. 177-184 - Feng Yu, Brandon J. Latronics, Tyler Matacic, Eric S. Jones:
OB-Tree: Accelerating Data Cleaning in Out-of-Core Column-Store Databases. 185-192
Research Session 9: Big Data Learning
- Pengcheng Zhang, Lei Zhang, Hareton Leung, Jimin Wang:
A Deep-Learning Based Precipitation Forecasting Approach Using Multiple Environmental Factors. 193-200 - Claudio A. Ardagna
What Are My Users Looking for When Preparing a Big Data Campaign. 201-208 - Hao Wu
Content Embedding Regularized Matrix Factorization for Recommender Systems. 209-215
Research Session 10: Big Data Case Study
- Vinay Boddula, Lakshmish Ramaswamy, Deepak Mishra
A Spatio-Temporal Mining Approach for Enhancing Satellite Data Availability: A Case Study on Blue Green Algae. 216-223 - Tianzhi Feng, Zhihui Du
Real-Time Anomaly Detection of Short-Time-Scale GWAC Survey Light Curves. 224-231
BigData Congress Visionary Track
- Sushil K. Prasad
Parallel Processing over Spatial-Temporal Datasets from Geo, Bio, Climate and Social Science Communities: A Research Roadmap. 232-250 - John A. Miller
Adding Support for Theory in Open Science Big Data. 251-255 - Bhavani Thuraisingham, Murat Kantarcioglu, Elisa Bertino, Chris Clifton:
Towards a Framework for Developing Cyber Privacy Metrics: A Vision Paper. 256-265
BigData Congress Application Track
Session 1: Big Data QoS
- Hadeel T. El Kassabi, Mohamed Adel Serhani:
De-Centralized Reputation-Based Trust Model to Discriminate between Cloud Providers Capable of Processing Big Data. 266-273 - Simon Luo
A Multivariate Clustering Approach for Infrastructure Failure Predictions. 274-281 - Bo Yan, Zijiang Yang, Yitian Ren, Xing Tan, Eric Liu:
Microblog Sentiment Classification Using Parallel SVM in Apache Spark. 282-288
Session 2: Machine Learning in Big Data
- Seongjoo Moon, Moran Min, Jangwoo Nam, Jaeyou Park, Doheon Lee, Daeyoung Kim:
Drowsy Driving Warning System Based on GS1 Standards with Machine Learning. 289-296 - Chui-Hui Chiu, Jin-Jie Chen, Fang Yu:
An Effective Distributed GHSOM Algorithm for Unsupervised Clustering on Big Data. 297-304 - Shuai Wang, Xiang Zhao, Bo Li, Bin Ge, Daquan Tang:
Integrating Extractive and Abstractive Models for Long Text Summarization. 305-312
Session 3: Big Data Processing
- Takamitsu Shioi
SCMAT: A Mechanism Presuming SCMs to Efficiently Enable Both OLAP and OLTP. 313-320 - Fangbing Chen, Ji Liu, Yuesheng Zhu:
A Real-Time Scheduling Strategy Based on Processing Framework of Hadoop. 321-328 - Babak Yadranjiaghdam, Seyedfaraz Yasrobi, Nasseh Tabrizi:
Developing a Real-Time Data Analytics Framework for Twitter Streaming Data. 329-336
Session 4: Big Data Mining
- Zhijian Zhang, Kun Yue, Zhengbao Sun, Ling Liu, Weiyi Liu:
Locating Sources in Online Social Networks via Random Walk. 337-343 - Alberto Gonzalez, Jason Leigh, Sean Peisert
Big Data and Analysis of Data Transfers for International Research Networks Using NetSage. 344-351 - Liang-Jie Zhang
PAS4SCF - A Publication Analytics System for Services Conference Federation (SCF 2004-2016). 352-359
Session 5: Big Data Algorithms
- Yu-Lin He, Joshua Zhexue Huang, Hao Long, Qiang Wang, Chenghao Wei:
I-Sampling: A New Block-Based Sampling Method for Large-Scale Dataset. 360-367 - Huaming Chen, Jun Shen
Leveraging Stacked Denoising Autoencoder in Prediction of Pathogen-Host Protein-Protein Interactions. 368-375 - Manuel Rodríguez-Martínez:
Experiences with the Twitter Health Surveillance (THS) System. 376-383
Session 6: Big Data Case Studies
- Hee Young Kim, June-Suh Cho:
Data Governance Framework for Big Data Implementation with a Case of Korea. 384-391 - Seungwon Lee, Chengxing Zhai, Terence Kubar, Benyang Tang, Lei Pan, Juilin Li, Jia Zhang, Qihao Bao:
Educational and Scientific Applications of Climate Model Diagnostic Analyzer. 392-397 - Hitomi Sano, Eiji Ikoma, Masaru Kitsuregawa, Masato Oguchi:
Implementation of Disaster Prevention-Oriented Information Service Platform of XRAIN on DIAS. 398-405
Session 7: Big Data Models
- Matthias Volk
New E-Commerce User Interest Patterns. 406-413 - Alejandro Sanchez, Wilson Rivera
Big Data Analysis and Visualization for the Smart Grid. 414-418
Session 8: Big Data Analysis
- Yiwang Huang, Zaiwen Feng, Keqing He, Songjin Xu:
Compliance Analysis of Configurable Business Process Model Based on Extend CTL. 419-426 - Yanjie Wei, Hongzhi Wang
Any-Time Methods for Time-Series Prediction with Missing Observations. 427-430
BigData Congress Theme Track
Session 1: Big Data Management
- Yunxing Xin, Yongqiang Chen, Li Jin, Yici Cai, Ling Feng:
TeenRead: An Adolescents Reading Recommendation System Towards Online Bibliotherapy. 431-434 - Liang Li, Zhihong Shen, Jianhui Li, Dongjiang Liu, Huajin Wang, Lipeng Wang, Qinglan Sun:
A Resilient Index Graph for Querying Large Biological Scientific Data. 435-443 - Jiaying Feng, Chenhong Meng, Jiaming Song, Xiaowang Zhang
SPARQL Query Parallel Processing: A Survey. 444-451
Session 2: Big Data Management
- Hanbo Zhang, Yawen Wang, Peng Wang, Wei Wang:
Burst-Based Event Classification on Weakly Labeled Time Series Data of Sensors. 452-459 - Jinchuan Chen, Yunzhi Xue:
Bootstrapping a Blockchain Based Ecosystem for Big Data Exchange. 460-463 - Xiongpai Qin, Yueguo Chen, Jun Chen, Shuai Li, Jiesi Liu, Huijie Zhang:
The Performance of SQL-on-Hadoop Systems - An Experimental Study. 464-471
Session 3: Real-Time Big Data Case Analytics
- Jiawei Zhang, Philip S. Yu, Charu C. Aggarwal, Limeng Cui:
Real Time Social Attitude Expression Prediction. 472-479 - Wenbin Zhang, Jianwu Wang:
A Hybrid Learning Framework for Imbalanced Stream Classification. 480-487 - Ying Jin, Yiwen Zhang:
Personalized Recommendation Algorithm Based on LFM with QoS Constraint. 488-493
BigData Congress Short Paper Track
Session 1: Big Data Processing
- Gopi Chand Nutakki, Olfa Nasraoui
Clustering Data Streams with Adaptive Forgetting. 494-497 - Ikbal Taleb
Big Data Pre-Processing: Closing the Data Quality Enforcement Loop. 498-501 - Howard Martinez Meza
Cloud-Based and Big Data-Enabled Brokerage System for Smart Grids. 502-506 - Guangyi Liu, Kewen Liu, Di Shi, Wendong Zhu, Zhiwei Wang, Xi Chen
Graph Computation and Its Applications in Smart Grid. 507-510
Session 2: QoS of Big Data
- Jingquan Li:
Open Medical Big Data and Open Consent and Their Impact on Privacy. 511-514 - Susan Grant-Muller, Frances Hodgson, Nick Malleson
Enhancing Energy, Health and Security Policy by Extracting, Enriching and Interfacing Next Generation Data in the Transport Domain (A Study on the Use of Big Data in Cross-Sectoral Policy Development). 515-518 - Olaitan Olaleye, Talmai Oliveira, Alexandru Darie:
Managing Emerging Risks and Liabilities in Data-Enabled Solutions. 519-524 - HyeJung Moon, KwanWoo Kim, SungKyung Kim, JangHo Park:
Ecosystem Design of Big Data through Previous Study Analysis in the World: Policy Design for Big Data as Public Goods. 525-528 - Lixiao Zhou, Maohai Huang:
Challenges of Software Testing for Astronomical Big Data. 529-532
Session 3: Big Data Applications
- Fadhilah Kurnia Putri, Joonho Kwon:
A Distributed System for Finding High Profit Areas over Big Taxi Trip Data with MognoDB and Spark. 533-536 - HyeJung Moon, Thomas Yang, SungKyung Kim, JangHo Park:
Comparison of Gambling Industry through Study Analysis in the World. 537-540 - HyeJung Moon, SungKyung Kim, Thomas Yang, KwanWoo Kim:
Big Data Analysis on Gambling Related News in South Korea. 541-544 - SiYeun Lee, HyeJung Moon:
Semantic Analysis of Transportation Related Researches. 545-548
Session 4: Satellite Session
- Bo Hu, Jian Wang, Yutao Ma, Liang-Jie Zhang
Business Graphing for Internet-Enabled Enterprises. 549-556 - Zibin Zheng
An Overview of Blockchain Technology: Architecture, Consensus, and Future Trends. 557-564 - Peizhao Yu, Lei Xu, Jinguang Gu, Heng He:
A New Sleep Mechanism Based on SDN Framework. 565-568 - Xiaochen Liu, Chunhe Xia, Tianbo Wang, Li Zhong:
CloudSec: A Novel Approach to Verifying Security Conformance at the Bottom of the Cloud. 569-576 - Chen Wang, Yi Wang
Cutting Parameters Optimization Based on ITLBO Algorithm with Big Data Driven. 577-581
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