Download 2014 IEEE International Conference on Big Data

2014 IEEE International Conference
on Big Data
27-30 October 2014 • Washington DC, USA
Sponsored by
IEEE BigData 2014 Program Schedule
Washington DC
USA
Oct 27-30, 2014
Program
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•
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October 27, 2014
October 28, 2014
October 29, 2014
October 30, 2013
Keynote Lecture: 60 minutes((about 45 minutes for talk and 15 minutes for Q and A)
Main conference regular paper: 25 minutes (about 20 minutes for talk and 5 minutes for Q and A)
Main conference short paper: 15 minutes (about 11 minutes for talk and 4 minutes for Q and A)
27-Oct
17:00-20:00
Registration: Ballroom E Foyer
28-Oct
07:30-18:00
Venue:
08:30-08:45
Registration: Hotel Lobby West
Ballroom AB (Ba-AB), Ballroom C (Ba-C), Ballroom D (Ba-D), Ballroom E (Ba-E), Ballroom F (Ba-F)
Opening and Welcoming Speech
Conference Co-Chairs:
Charu Aggarwal, Nick Cercone, Vasant Honava
Program Co-Chairs:
Jimmy Lin, Jian Pei
Industry Program co-Chairs:
Wo Chang, Raghunath Nambia
BigData Steering Committee Chair:
Xiaohua Tony Hu (Drexel University)
Venue:
08:45-09:45
Ba-AB
Session Chair:
Keynote Lecture 1:
Venue:
Ba-AB
09:45-10:00
Coffee Break : Foyer
Poster session setup: Ballroom Foyer
10:00-12:30
S1
S2
S3
Visual analytics, time, and space
Cloud computing and systems (1)
Graphs and networks
Ba-AB
Ba-C
Ba-D
Session
Chair
Venue
12:30-14:00
Lunch
Poster session setup: Ballroom Foyer
14:00-16:05
L1
L2
L3
Graphs and networks (1)
Scalable systems
Storage
Ba-C
Ba-D
Session
Chair
Venue:
16:05-16:20
Coffee Break
16:20-18:00
L4
L5
L6
Image processing
Data streams and time series
Regression and machine learning
Ba-AB
Ba-C
Ba-D
Session
Chair
Venue:
18:30-20:30
29-Oct
07:30-18:00
Venue:
08:30-09:30
Registration: Hotel Lobby West
Ballroom AB (Ba-AB), Ballroom C (Ba-C), Ballroom D (Ba-D), Ballroom E (Ba-E), Ballroom F (Ba-F)
Session Chair:
Keynote Lecture 2:
Venue:
09:30-10:00
Ba-AB
Coffee Break : Foyer
Poster session setup: Ballroom Foyer
10:00-12:30
Panel
12:30-14:00
Lunch
Poster session setup: Ballroom Foyer
14:00-16:05
L7
L8
L9
Distributed systems
Visualization/bioinformatics
Cloud computing
Ba-AB
Ba-C
Ba-D
Session Chair
Venue:
16:05-16:20
Coffee Break
16:20-18:00
L 10
L 11
Privacy and security
Graphs and networks (2)
Ba-AB
Ba-C
Session Chair
Venue:
30-Oct
07:30-18:00
Venue:
08:30-09:30
Registration: Hotel Lobby West
Ballroom AB (Ba-AB), Ballroom C (Ba-C), Ballroom D (Ba-D), Ballroom E (Ba-E), Ballroom F (Ba-F)
Session Chair:
Keynote Lecture 3:
Venue:
Ba-AB
09:30-10:00
Coffee Break : Foyer
Poster session: Ballroom Foyer
10:00-12:30
S4
S5
S6
Cloud computing and systems (2)
Applications
Data mining and learning
Ba-AB
Ba-C
Ba-D
Session Chair
Venue:
I Keynote Lectures: 3
Keynote 1:
Title:
Speaker:
Abstract:
Short Bio:
Keynote 2:
Title:
Speaker:
Abstract:
Short Bio:
Keynote 3:
Title:
Speaker:
Abstract:
Short Bio:
I Conference Paper Presentations
L 1: Graphs and networks (1)
Regular
BigD210
Learning to Estimate Pairwise Distances in Large Graphs
Maria Christoforaki and Torsten Suel
Regular
BigD304
Geotagging One Hundred Million Twitter Accounts with Total Variation Minimization
Ryan Compton, David Jurgens, and David Allen
Regular
BigD357
GRAPHiQL: A Graph Intuitive Query Language for Relational Databases
Alekh Jindal and Samuel Madden
Regular
BigD395
PULP: Scalable Multi-Objective Multi-Constraint Partitioning for Small-World Networks
George Slota, Siva Rajamanickam, and Kamesh Madduri
Regular
BigD436
Synergistic Partitioning in Multiple Large Scale Social Networks
Songchang Jin, Jiawei Zhang, Philip S. Yu, Shuqiang Yang, and Aiping Li
L 2: Scalable systems
BigD216
Regular
FusionFS: Toward Supporting Data-Intensive Scientific Applications on Extreme-Scale High-Performance Computing
Systems
Dongfang Zhao, Zhao Zhang, Xiaobing Zhou, Tonglin Li, Ke Wang, Dries Kimpe, Philip Carns, Rob Ross, and Ioan
Raicu
BigD253
Regular
Sparse computation for large-scale data mining
Dorit S. Hochbaum and Philipp Baumann
BigD306
Regular
BASIC: an Alternative to BASE for Large-Scale Data Management System
Lengdong Wu, Li-Yan Yuan, and Jia-Huai You
BigD336
Regular
Facilitating Twitter Data Analytics: Platform, Language, and Functionality
Ke Tao, Claudia Hauff, Geert-Jan Houben, Fabian Abel, and Guido Wachsmuth
BigD444
Regular
Large-scale Distributed Sorting for GPU-based Heterogeneous Supercomputers
Hideyuki Shamoto, Koichi Shirahata, Aleksandr Drozd, Hitoshi Sato, and Satoshi Matsuoka
L 3: Storage
Regular
BigD215
Virtual Chunks: On Supporting Random Accesses to Scientific Data in Compressible Storage Systems
Dongfang Zhao, Jian Yin, Kan Qiao, and Ioan Raicu
Regular
BigD271
BurstMem: A High-Performance Burst Buffer System for Scientific Applications
Teng Wang, Sarp Oral, Yandong Wang, Brad Settlemyer, Scott Atchley, and Weikuan Yu
Regular
BigD313
Meeting Predictable Buffer Limits in the Parallel Execution of Event Processing Operators
Ruben Mayer, Boris Koldehofe, and Kurt Rothermel
Regular
BigD398
Effective Caching Techniques for Accelerating Pattern Matching Queries
Arash Fard, Satya Manda, Lakshmish Ramaswamy, and John Miller
Regular
BigD407
Provenance-Based Object Storage Prediction Scheme for Scientific Big Data Applications
Dong Dai, Yong Chen, Dries Kimpe, and Rob Ross
L 4: Image processing
Regular
BigD316
Metadata Extraction and Correction for Large-Scale Traffic Surveillance Videos
Xiaomeng Zhao, Huadong Ma, Haitao Zhang, Yi Tang, and Guangping Fu
Regular
BigD360
Structure Recognition from High Resolution Images of Ceramic Composites
Daniela Ushizima, Talita Perciano, Harinarayan Krishnan, Burlen Loring, Hrishikesh Bale, Dilworth Parkinson, and James
Sethian
Regular
BigD379
Evaluating Density-based Motion for Big Data Visual Analytics
Ronak Etemadpour, Paul Murray, and Angus Forbes
Regular
BigD421
Locating Visual Storm Signatures from Satellite Images
Yu Zhang, Stephen Wistar, Jose A. Piedra-Fernández, Jia Li, Michael Steinberg, and James Z. Wang
L 5: Data streams and time series
Regular
BigD234
Distributed Adaptive Model Rules for Mining Big Data Streams
Anh Thu Vu, Gianmarco De Francisci Morales, Joao Gama, and Albert Bifet
Regular
BigD382
Interpretable Streaming Regression Models with Local Performance Guarantees
Ulf Johansson, Cecilia Sönströd, and Henrik Linusson
Regular
BigD451
Performance Modeling in CUDA Streams - A Means for High-Throughput Data Processing
Hao Li, Di Yu, Anand Kumar, and Yicheng Tu
BigD445
Regular
TRISTAN: Real-Time Analytics on Massive Time Series Using Sparse Dictionary Compression
Alice Marascu, Pascal Pompey, Eric Bouillet, Michael Wurst, Olivier Verscheure, Martin Grund, and Philippe CudreMauroux
L 6: Regression and machine learning
Regular
BigD402
Predicting Glaucoma Progression using Multi-task Learning with Heterogeneous Features
Shigeru Maya, Kai Morino, and Kenji Yamanishi
Regular
BigD283
Examination of Data, Rule Generation and Detection of Phishing URLs using Online Logistic Regression
Mohammed Nazim Feroz and Susan Mengel
BigD454
Regular
Large-scale Logistic Regression and Linear Support Vector Machines Using Spark
Chieh-Yen Lin, Cheng-Hao Tsai, Ching-Pei Lee, and Chih-Jen Lin
BigD465
Regular
BayesWipe: A Multimodal System for Data Cleaning and Consistent Query Answering on Structured Data
Sushovan De, Yuheng Hu, Yi Chen, and Subbarao Kambhampati
L 7: Distributed systems
Regular
Regular
Regular
Regular
Regular
BigD318
Partial Rollback-based Scheduling on In-memory Transactional Data Grids
Junwhan Kim
BigD337
Main Memory Evaluation of Recursive Queries on Multicore Machines
Mohan Yang and Carlo Zaniolo
BigD391
Distributed Algorithms for k-truss Decomposition
Ming-Syan Chen, Pei-Ling Chen, and Chung-Kuang Chou
BigD434
Parallel Breadth First Search on GPU Clusters
Zhisong Fu, Harish Dasari, Martin Berzins, and Bryan Thompson
BigD471
Optimizing Load Balancing and Data-Locality with Data-aware Scheduling
Ke Wang, Xiaobing Zhou, Tonglin Li, Dongfang Zhao, Michael Lang, and Ioan Raicu
L 8: Visualization/bioinformatics
Regular
BigD258
Topic Similarity Networks: Visual Analytics for Large Document Sets
Arun Maiya
Regular
BigD303
Web-based Visual Analytics for Extreme Scale Climate Science
Chad Steed, Katherine Evans, John Harney, Brian Jewell, Galen Shipman, Brian Smith, Peter Thornton, and Dean
Williams
Regular
BigD338
Visual Fusion of Maga-City Big Data: An Application to Traffic and Tweets Data Analysis of Metro Passengers
Masahiko Itoh, Daisaku Yokoyama, Masashi Toyoda, Yoshimitsu Tomita, Satoshi Kawamura, and Masaru Kitsuregawa
Regular
BigD277
Random Projection Based Clustering for Population Genomics
Sotiris Tasoulis, Lu Cheng, Niko Välimäki, Nicholas Croucher, Simon Harris, William Hanage, Teemu Roos, and Jukka
Corander
Regular
BigD460
Identification of SNP Interactions Using Data-Parallel Primitives on GPUs
Can Altinigneli, Bettina Konte, Dan Rujescu, Christian Boehm, and Claudia Plant
L 9: Cloud computing
Regular
BigD380
Combining Hadoop and GPU to Preprocess Large Affymetrix Microarray Data
sufeng Niu, guangyu yang, nilim sarma, Melissa Smith, Pradip Srimani, and Feng Luo
Regular
BigD423
Detecting and Identifying System Changes in the Cloud via Discovery by Example
Hao Chen, Sastry Duri, Vasanth Bala, Nilton Bila, Canturk Isci, and Ayse Coskun
Regular
BigD426
PigOut: Making Multiple Hadoop Clusters to Work Together
Kyungho Jeon, Sharath Chandrashekhara, Feng Shen, Shikhar Mehra, Oliver Kennedy, and Steven Ko
BigD432
Regular
Accurate and Efficient Selection of the Best Consumption Prediction Method in Smart Grids
Marc Frincu, Charalampos Chelmis, Muhammad Noor, and Viktor Prasanna
BigD244
Regular
E-Sketch: Gathering Large-scale Energy Consumption Data Based on Consumption Patterns
Zhichuan Huang, Hongyao Luo, David Skoda, Ting Zhu, and Yu Gu
L 10: Privacy and security
Regular
BigD260
Hierarchical Management of Large-Scale Malware Data
Lee Kellogg, Brian Ruttenberg, Alison O'Connor, Michael Howard, and Avi Pfeffer
Regular
BigD294
MR-TRIAGE: Scalable Multi-Criteria Clustering for Big Data Security Intelligence Applications
Yun Shen and Olivier Thonnard
BigD383
Regular
Using Data Content to Assist Access Control for Large-Scale Content-Centric Databases
Wenrong Zeng, Yuhao Yang, and Bo Luo
???
Regular
L 11: Graphs and networks (2)
Regular
BigD301
Efficient Breadth-First Search on a Heterogeneous Processor
Mayank Daga, Mark Nutter, and Mitesh Meswani
Regular
BigD419
Clique Guided Community Detection
Diana Palsetia, Mostofa Patwary, William Hendrix, Ankit Agrawal, and Alok Choudhary
BigD441
Regular
Increasing the Veracity of Event Detection on Social Media Networks Through User Trust Modeling
Todd Bodnar, Conrad Tucker, Kenneth Hopkinson, and Sven Bilén
BigD455
Regular
NVM-based Hybrid BFS with Memory Efficient Data Structure
Keita Iwabuchi, Hitoshi Sato, Yuichiro Yasui, Katsuki Fujisawa, and Satoshi Matsuoka
S 1: Visual analytics, time, and space
Short
BigD204
The Role of Visual Analysis in the Regulation of Electronic Order Book Markets
Mark Paddrik, Richard Haynes, Andrew Todd, William Scherer, and Peter Beling
Short
BigD217
Preferences over Time
noriaki kawamae
BigD227
Short
Online Temporal-Spatial Analysis for Detection of Critical Events in Cyber-Physical Systems
Magnus Almgren, Olaf Landsiedel, Marina Papatriantafilou, and Zhang Fu
BigD252
Short
In-Situ Visualization and Computational Steering for Large-Scale Simulation of Turbulent Flows in Complex Geometries
Hong Yi, Michel Rasquin, Jun Fang, and Igor Bolotnov
Short
BigD288
Large-Scale Network Traffic Monitoring with DBStream, a System for Rolling Big Data Analysis
Arian Bär, Alessandro Finamore, Pedro Casas, Lukasz Golab, and Marco Mellia
Short
BigD387
Immerive and collaborative data visualization using virtual reality platforms
Ciro Donalek, S.G. Djorgovski, Scott Davidoff, Alex Cioc, Anwell Wang, Giuseppe Longo, Jeffrey S. Norris, Jerry
Zhang, Elizabeth Lawler, and Stacy Yeh
BigD411
Short
On Scaling Time Dependent Shortest Path Computations for Dynamic Traffic Assignment
Amit Gupta, Weijia Xu, Kenneth Perrine, Dennis Bell, and Natalia Ruiz-Juri
BigD413
Short
High Volume Geospatial Mapping for Internet-of-Vehicle Solutions with In-Memory Map-Reduce Processing
Tao Zhong, Kshitij Doshi, Gang Deng, Xiaoming Yang, and Hegao Zhang
BigD431
Short
The Adaptive Projection Forest: Using Adjustable Exclusion and Parallelism in Metric Space Indexes
Lee Thompson, Weijia Xu, and Daniel Miranker
BigD440
Short
Low Complexity Sensing for Big Spatio-Temporal Data
Dongeun Lee and Jaesik Choi
S 2: Cloud computing and systems (1)
Short
BigD347
Incremental Window Aggregates over Array Database
Jiang Li, Hideyuki Kawashima, and Osamu Tatebe
Short
BigD364
Automated Workload-aware Elasticity of NoSQL Clusters in the Cloud
Evie Kassela, Christina Boumpouka, Ioannis Konstantinou, and Nectarios Koziris
BigD384
Short
Multilevel Partitioning of Large Unstructured Grids
Oyindamola Akande and Philip Rhodes
BigD392
Short
On the Performance of MapReduce: A Stochastic Approach
Sarker Ahmed and Dmitri Loguinov
Short
Short
Short
Short
Short
Short
BigD428
VENU: Orchestrating SSDs in Hadoop Storage
Krish K.R., M. Safdar Iqbal, and Ali Butt
BigD438
In-Memory I/O and Replication for HDFS with Memcached: Early Experiences
Nusrat Islam, Xiaoyi Lu, Md. Rahman, Raghunath Rajachandrasekar, and Dhabaleswar Panda
BigD448
Scaling Up Prioritized Grammar Enumeration for Scientific Discovery in the Cloud
Tony Worm and Kenneth Chiu
BigD469
In-advance Data Analytics for Reducing Time to Discovery
Jialin Liu, Yin Lu, and Yong Chen
BigD475
Enabling Composite Applications through an Asynchronous Shared Memory Interface
Douglas Otstott, Noah Evans, Latchesar Ionkov, Ming Zhao, and Michael Lang
BigD476
k-balanced sorting and skew join in MPI and MapReduce
Silu Huang and Ada Fu
S 3: Graphs and networks
Short
BigD225
Random Walks on Adjacency Graphs for Mining Lexical Relations from Big Text Data
Shan Jiang and Chengxiang Zhai
Short
BigD284
MMap: Fast Billion-Scale Graph Computation on a PC via Memory Mapping
Zhiyuan Lin, Minsuk Kahng, Kaeser Md. Sabrin, Duen Horng Chau, Ho Lee, and U Kang
BigD287
Short
Building k-nn graphs from large text data
Thibault Debatty, Pietro Michiardi, Olivier Thonnard, and Wim Mees
BigD331
Short
Empowering users of social networks to assess their privacy risks
Vladimir Estivill-Castro, Md Zahidul Islam, and Peter Hough
BigD333
Short
Matching Approximate Patterns in Richly-Attributed Graphs
Robert Pienta, Acar Tamersoy, Hanghang Tong, and Duen Horng Chau
Short
BigD346
A Unified Approach to Network Anomaly Detection
Tara Babaie, Sanjay Chawla, and Sebastien Ardon
Short
BigD365
Big Data: Myths, Misconceptions and Opportunities
Mark Lycett and Asmat Monaghan
S 4: Cloud computing and systems (2)
Short
BigD230
A Cross-job Framework for MapReduce Scheduling
Xuejie Xiao, Jian Tang, Zhenhua Chen, Jielong Xu, and Chonggang Wang
Short
BigD242
Scheduling MapReduce Tasks on Virtual MapReduce Clusters from a Tenant’s Perspective
Jia-Chun Lin, Ming-Chang Lee, and Ramin Yahyapour
BigD247
Short
Rainbow: A Distributed and Hierarchical RDF Triple Store with Dynamic Scalability
Rong Gu, Yihua Huang, and Wei Hu
BigD259
Short
MaPLE: A MapReduce Pipeline for Lattice-based Evaluation and Its Application to SNOMED CT
Guo-Qiang Zhang, Wei Zhu, Mengmeng Sun, Shiqiang Tao, Olivier Bodenreider, and Licong Cui
BigD264
Short
FlexDAS: A Flexible Direct Attached Storage for I/O Intensive Applications
Takatsugu Ono, Yotaro Konishi, Teruo Tanimoto, Noboru Iwamatsu, Takashi Miyoshi, and Jun Tanaka
Short
BigD296
Perldoop: Efficient Execution of Perl Scripts on Hadoop Clusters
Jose M. Abuin, Juan C. Pichel, Tomas F. Pena, Pablo Gamallo, and Marcos Garcia
Short
BigD311
Minimizing Data Movement through Query Transformation
Patrick Leyshock, David Maier, and Kristin Tufte
Short
Short
Short
BigD315
Evaluating the Performance and Scalability of the Ceph Distributed Storage System
Diana Gudu, Marcus Hardt, and Achim Streit
BigD350
Analyzing the Language of Food on Social Media
Daniel Fried, Mihai Surdeanu, Stephen Kobourov, Melanie Hingle, and Dane Bell
BigD362
BigCache for Big-data Systems
Michel Roger, Yiqi Xu, and Ming Zhao
S 5: Applications
Short
BigD232
Big Automotive Data - Leveraging large volumes of data for knowledge-driven product development
Mathias Johanson, Stanislav Belenki, Jonas Jalminger, Magnus Fant, and Mats Gjertz
Short
BigD233
On the Impact of Socio-economic Factors on Power Load Forecasting
Yufei Han, Xiaolan Sha, Etta Grover-Silva, and Pietro Michiardi
Short
BigD239
Toward Personalized and Scalable Voice-Enabled Services Powered by Big Data
JONG HOON AHNN
BigD270
Short
A Two-Sided Market Mechanism for Trading Big Data Computing Commodities
Lena Mashayekhy, Mahyar Movahed Nejad, and Daniel Grosu
BigD310
Short
Department of Energy Strategic Roadmap for Earth System Science Data Integration
Dean Williams, Giri Palanisamy, Galen Shipman, Thomas Boden, and Jimmy Voyles
Short
BigD312
Synthetic Data Generation for the Internet of Things
Jason Anderson, Ken Kennedy, Linh Ngo, Andre Luckow, and Amy Apon
Short
BigD324
Learning to Predict Subject-Line Opens for Large-Scale Email Marketing
Raju Balakrishnan and Rajesh Parech
BigD366
Short
Using Geometric Structures to Improve the Error Correction Algorithm of High-Throughput Sequencing Data on
MapReduce Framework
Wei-Chun Chung, Yu-Jung Chang, D. T. Lee, and Jan-Ming Ho
BigD376
Short
Knowledge-based Clustering of Ship Trajectories Using Density-based Approach
Bo Liu, Erico N.de Souza, Stan Matwin, and Marcin Sydow
BigD409
Short
Empowering Personalized Medicine with Big Data and Semantic Web Technology: Promises, Challenges, Pitfalls, and
Use Cases
Maryam Panahiazar, Vahid Taslimi, Ashutosh Jadhav, Amit Sheth, and Jyotishman Pathak
S 6: Data mining and learning
Short
BigD238
Entity Resolution Using Inferred Relationships and Behavior
Jonathan Mugan, Ranga Chari, Laura Hitt, Eric McDermid, Marsha Sowell, Yuan Qu, and Thayne Coffman
Short
BigD291
Dynamic Pre-training of Deep Recurrent Neural Networks for Predicting Environmental Monitoring Data
Bun Theang Ong, Komei Sugiura, and Koji Zettsu
BigD293
Short
Scaling up M-estimation via sampling designs: the Horvitz-Thompson stochastic gradient descent
Stéphan Clémençon, Bertail Patrice, and Emilie Chautru
BigD327
Short
Metadata Capital: Simulating the Predictive Value of Self-Generated Heatlh Information (SGHI)
Jane Greenberg, Adrian Ogletree, Angela Murillo, Thomas Caruso, and Herbie Huang
Short
BigD339
Bootstrapping K-means for Big data analysis
Jungkyu Han and Min Luo
Short
BigD343
Representative Subsets For Big Data Learning using k-NN graphs
Raghvendra Mall, Vilen Jumutc, Rocco Langone, and Johan Suykens
Short
BigD356
Towards Building and Evaluating a Personalized Location-Based Recommender System
Rubing Duan
BigD361
Distributed Adaptive Importance Sampling on Graphical Models using MapReduce
Ahsanul Haque, Swarup Chandra, Latifur Khan, and Charu Aggarwal
BigD401
PGMHD: A Scalable Probabilistic Graphical Model for Massive Hierarchical Data Problems
Khalifeh Aljadda, Mohammed Korayem, Camilo Ortiz, Trey Grainger, John Miller, and William York
BigD410
Distributed Class Dependent Feature Analysis - A Big Data Approach
Khoa Luu, Chenchen Zhu, and Marios Savvides
Short
Short
Short
Panel: “Big Data Projects Funding: Challenges and Opportunities”
Panelists:
(1),
Moderator:
“
Panel Statement:
Bios of Panelists