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Proceedings
BIG-DATA
BIG-DATA 2017
Generate Citations
2017 IEEE International Conference on Big Data (Big Data)
Dec. 11 2017 to Dec. 14 2017
Boston, MA, USA
Table of Contents
IEEE Big Data 2017 welcome message from the organizers
Freely available from IEEE.
pp. 1-2
Committee members
Freely available from IEEE.
pp. 1-2
Program committee
Freely available from IEEE.
pp. 1-14
[Copyright notice]
Freely available from IEEE.
pp. 1-1
Author index
Freely available from IEEE.
pp. 1-32
Human-in-the-loop applied machine learning
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pp. 1-1
by
Carla E. Brodley
A more open efficient future for AI development and data science with an introduction to Julia
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pp. 2-2
by
Alan Edelman
Contextual reinforcement learning
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pp. 3-3
by
John Langford
Large-scale graph representation learning
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pp. 4-4
by
Jure Leskovec
Being “BYTES-oriented” in HPC leads to an open big data/AI ecosystem and further advances into the post-moore era
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pp. 5-5
by
Satoshi Matsuoka
TextScope: Enhance human perception via text mining
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pp. 6-6
by
ChengXiang Zhai
Collective subjective logic: Scalable uncertainty-based opinion inference
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pp. 7-16
by
Feng Chen
,
Chunpai Wang
,
Jin-Hee Cho
Quality-aware aggregation & predictive analytics at the edge
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pp. 17-26
by
Natascha Harth
,
Christos Anagnostopoulos
Robust multi-label semi-supervised classification
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pp. 27-36
by
Sheng Li
,
Yun Fu
Lifelong multi-task multi-view learning using latent spaces
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pp. 37-46
by
Xiaoli Li
,
Sai Nivedita Chandrasekaran
,
Jun Huan
Compact multi-class boosted trees
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pp. 47-56
by
Natalia Ponomareva
,
Thomas Colthurst
,
Gilbert Hendry
,
Salem Haykal
,
Soroush Radpour
Constraint-aware dynamic truth discovery in big data social media sensing
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pp. 57-66
by
Daniel Yue Zhang
,
Dong Wang
,
Yang Zhang
Standardizing big earth datacubes
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pp. 67-73
by
Peter Baumann
Enhancing data quality by cleaning inconsistent big RDF data
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pp. 74-79
by
Salima Benbernou
,
Mourad Ouziri
Iterative matrix correlation for bisection clustering
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pp. 80-87
by
Byron J. Gao
,
Robert Tung
,
Yong Yang
Entropic determinants of massive matrices
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pp. 88-93
by
Diego Granziol
,
Stephen Roberts
Big active learning
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pp. 94-101
by
Er-Chen Huang
,
Hsing-Kuo Pao
,
Yuh-Jye Lee
A novel approach to optimization of iterative machine learning algorithms: Over heap structure
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pp. 102-109
by
Hasan Kurban
,
Mehmet M. Dalkilic
Multi-view graph learning with adaptive label propagation
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pp. 110-115
by
Sheng Li
,
Hongfu Liu
,
Zhiqiang Tao
,
Yun Fu
Exponential random graph models with big networks: Maximum pseudolikelihood estimation and the parametric bootstrap
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pp. 116-121
by
Christian S. Schmid
,
Bruce A. Desmarais
Automated industry classification with deep learning
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pp. 122-129
by
Sam Wood
,
Rohit Muthyala
,
Yi Jin
,
Yixing Qin
,
Nilaj Rukadikar
,
Amit Rai
,
Hua Gao
Jointly optimizing task granularity and concurrency for in-memory mapreduce frameworks
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pp. 130-140
by
Jonghyun Bae
,
Hakbeom Jang
,
Wenjing Jin
,
Jun Heo
,
Jaeyoung Jang
,
Joo-Young Hwang
,
Sangyeun Cho
,
Jae W. Lee
How fast can one scale down a distributed file system?
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pp. 141-150
by
Nathanaël Cheriere
,
Gabriel Antoniu
ATM: A distributed, collaborative, scalable system for automated machine learning
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pp. 151-162
by
Thomas Swearingen
,
Will Drevo
,
Bennett Cyphers
,
Alfredo Cuesta-Infante
,
Arun Ross
,
Kalyan Veeramachaneni
A decision tree based approach towards adaptive modeling of big data applications
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pp. 163-172
by
Ioannis Giannakopoulos
,
Dimitrios Tsoumakos
,
Nectarios Koziris
Characterizing and accelerating indexing techniques on distributed ordered tables
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pp. 173-182
by
Shashank Gugnani
,
Xiaoyi Lu
,
Houliang Qi
,
Li Zha
,
Dhabaleswar K. D K Panda
ooc_cuDNN: Accommodating convolutional neural networks over GPU memory capacity
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pp. 183-192
by
Yuki Ito
,
Ryo Matsumiya
,
Toshio Endo
A semantics-aware storage framework for scalable processing of knowledge graphs on Hadoop
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pp. 193-202
by
HyeongSik Kim
,
Padmashree Ravindra
,
Kemafor Anyanwu
Elastic management of cloud applications using adaptive reinforcement learning
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pp. 203-212
by
Konstantinos Lolos
,
Ioannis Konstantinou
,
Verena Kantere
,
Nectarios Koziris
Performance characterization and acceleration of big data workloads on OpenPOWER system
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pp. 213-222
by
Xiaoyi Lu
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Haiyang Shi
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Dipti Shankar
,
Dhabaleswar K. D K Panda
Low-latency multi-threaded ensemble learning for dynamic big data streams
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pp. 223-232
by
Diego Marrón
,
Eduard Ayguadé
,
José R. Herrero
,
Jesse Read
,
Albert Bifet
I/O load balancing for big data HPC applications
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pp. 233-242
by
Arnab K. Paul
,
Arpit Goyal
,
Feiyi Wang
,
Sarp Oral
,
Ali R. Butt
,
Michael J. Brim
,
Sangeetha B. Srinivasa
HarpLDA+: Optimizing latent dirichlet allocation for parallel efficiency
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pp. 243-252
by
Bo Peng
,
Bingjing Zhang
,
Langshi Chen
,
Mihai Avram
,
Robert Henschel
,
Craig Stewart
,
Shaojuan Zhu
,
Emily Mccallum
,
Lisa Smith
,
Tom Zahniser
,
Jon Omer
,
Judy Qiu
Fast access to columnar, hierarchically nested data via code transformation
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pp. 253-262
by
Jim Pivarski
,
Peter Elmer
,
Brian Bockelman
,
Zhe Zhang
Sanzu: A data science benchmark
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pp. 263-272
by
Alex Watson
,
Deepigha Shree Vittal Babu
,
Suprio Ray
Scaling up data-parallel analytics platforms: Linear algebraic operation cases
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pp. 273-282
by
Luna Xu
,
Seung-Hwan Lim
,
Min Li
,
Ali R. Butt
,
Ramakrishnan Kannan
Robotomata: A framework for approximate pattern matching of big data on an automata processor
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pp. 283-292
by
Xiaodong Yu
,
Kaixi Hou
,
Hao Wang
,
Wu-chun Feng
Making caches work for graph analytics
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pp. 293-302
by
Yunming Zhang
,
Vladimir Kiriansky
,
Charith Mendis
,
Saman Amarasinghe
,
Matei Zaharia
On the usability of Hadoop MapReduce, Apache Spark & Apache flink for data science
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pp. 303-310
by
Bilal Akil
,
Ying Zhou
,
Uwe Röhm
Energy efficient stochastic-based deep spiking neural networks for sparse datasets
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pp. 311-318
by
Mohammed Alawad
,
Hong-Jun Yoon
,
Georgia Tourassi
External memory pipelining made easy with TPIE
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pp. 319-324
by
Lars Arge
,
Mathias Rav
,
Svend C. Svendsen
,
Jakob Truelsen
Compressed domain-specific data processing and analysis
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pp. 325-330
by
Dapeng Dong
,
John Herbert
Understanding and optimizing the performance of distributed machine learning applications on apache spark
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pp. 331-338
by
Celestine Dünner
,
Thomas Parnell
,
Kubilay Atasu
,
Manolis Sifalakis
,
Haralampos Pozidis
Optimal reducer placement to minimize data transfer in MapReduce-style processing
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pp. 339-346
by
Xiao Meng
,
Lukasz Golab
Big data and HPC collocation: Using HPC idle resources for Big Data analytics
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pp. 347-352
by
Michael Mercier
,
David Glesser
,
Yiannis Georgiou
,
Olivier Richard
eTRIKS analytical environment: A modular high performance framework for medical data analysis
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pp. 353-360
by
Axel Oehmichen
,
Florian Guitton
,
Kai Sun
,
Jean Grizet
,
Thomas Heinis
,
Yike Guo
Multi-objective optimization of scheduling dataflows on heterogeneous cloud resources
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pp. 361-368
by
Ilia Pietri
,
Yannis Chronis
,
Yannis Ioannidis
NVMD: Non-volatile memory assisted design for accelerating MapReduce and DAG execution frameworks on HPC systems
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pp. 369-374
by
Md. Wasi-ur- Rahman
,
Nusrat Sharmin Islam
,
Xiaoyi Lu
,
Dhabaleswar K. D K Panda
Towards memory and computation efficient graph processing on spark
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pp. 375-382
by
Xinhui Tian
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Yuanqing Guo
,
Jianfeng Zhan
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Lei Wang
Sandpiper: Scaling probabilistic inferencing to large scale graphical models
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pp. 383-388
by
Alexander Ulanov
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Manish Marwah
,
Mijung Kim
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Roshan Dathathri
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Carlos Zubieta
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Jun Li
Dione: Profiling spark applications exploiting graph similarity
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pp. 389-394
by
Nikos Zacheilas
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Stathis Maroulis
,
Vana Kalogeraki
On on-line task assignment in spatial crowdsourcing
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pp. 395-404
by
Mohammad Asghari
,
Cyrus Shahabi
QuAD: A quorum protocol for adaptive data management in the cloud
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pp. 405-414
by
Ilir Fetai
,
Alexander Stiemer
,
Heiko Schuldt
Sequential algorithms to split and merge ultra-high resolution 3D images
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pp. 415-424
by
Valérie Hayot-Sasson
,
Yongping Gao
,
Yuhong Yan
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Tristan Glatard
Spatiotemporal range pattern queries on large-scale co-movement pattern datasets
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pp. 425-434
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Shahab Helmi
,
Farnoush Banaei-Kashani
Towards robust models of food flows and their role in invasive species spread
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pp. 435-444
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Srinivasan Venkatramanan
,
Sichao Wu
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Bowen Shi
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Achla Marathe
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Madhav Marathe
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Stephen Eubank
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Lalit P. Sah
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A. P. Giri
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Luke A. Colavito
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K. S. Nitin
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V. Sridhar
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R. Asokan
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Rangaswamy Muniappan
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G. Norton
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Abhijin Adiga
A single-node datastore for high-velocity multidimensional sensor data
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pp. 445-452
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Juan A. Colmenares
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Reza Dorrigiv
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Daniel G. Waddington
Model driven reverse engineering of NoSQL property graph databases: The case of Neo4j
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pp. 453-458
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Isabelle Comyn-Wattiau
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Jacky Akoka
Universal distant reading through metadata proxies with archivespark
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pp. 459-464
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Helge Holzmann
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Vinay Goel
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Emily Novak Gustainis
Big data transfer optimization based on offline knowledge discovery and adaptive sampling
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pp. 465-472
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Md S.Q. Zulkar Nine
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Kemal Guner
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Ziyun Huang
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Xiangyu Wang
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Jinhui Xu
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Tevfik Kosar
A closed-loop deep learning architecture for robust activity recognition using wearable sensors
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pp. 473-479
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Ramyar Saeedi
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Skyler Norgaard
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Assefaw H. Gebremedhin
CStorage: An efficient classification-based image storage system in cloud datacenters
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pp. 480-485
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Haiying Shen
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Heng Zhou
In-depth exploration of single-snapshot lossy compression techniques for N-body simulations
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pp. 486-493
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Dingwen Tao
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Sheng Di
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Zizhong Chen
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Franck Cappello
Reliable fake review detection via modeling temporal and behavioral patterns
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pp. 494-499
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Xian Wu
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Yuxiao Dong
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Jun Tao
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Chao Huang
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Nitesh V. Chawla
Efficient diversified set monitoring for mobile sensor stream environments
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pp. 500-507
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Masahiro Yokoyama
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Takahiro Hara
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Sanjay K. Madria
Low-rank singular value thresholding for recovering missing air quality data
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pp. 508-513
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Yangwen Yu
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James J.Q. Yu
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Victor O. K. Li
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Jacqueline C. K. Lam
Visual analytics with unparalleled variety scaling for big earth data
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pp. 514-521
by
Lina Yu
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Michael L. Rilee
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Yu Pan
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Feiyu Zhu
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Kwo-Sen Kuo
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Hongfeng Yu
Semi-supervised convolutional neural networks for human activity recognition
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pp. 522-529
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Ming Zeng
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Tong Yu
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Xiao Wang
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Le T. Nguyen
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Ole J. Mengshoel
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Ian Lane
Detecting unmetered taxi rides from trajectory data
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pp. 530-535
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Xibo Zhou
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Ye Ding
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Fengchao Peng
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Qiong Luo
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Lionel M. Ni
Estimation of distance-based metrics for very large graphs with MinHash Signatures
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pp. 536-545
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Giambattista Amati
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Simone Angelini
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Giorgio Gambosi
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Gianluca Rossi
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Paola Vocca
High-performance geometric algorithms for sparse computation in big data analytics
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pp. 546-555
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Philipp Baumann
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Dorit S. Hochbaum
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Quico Spaen
Active learning based news veracity detection with feature weighting and deep-shallow fusion
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pp. 556-565
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Sreyasee Das Bhattacharjee
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Ashit Talukder
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Bala Venkatram Balantrapu
Exploiting visual and textual neighborhood information to improve image-tag relevance
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pp. 566-575
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Chandramani Chaudhary
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Poonam Goyal
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Yi-Ping Phoebe Chen
Inverse extreme learning machine for learning with label proportions
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pp. 576-585
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Limeng Cui
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Jiawei Zhang
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Zhensong Chen
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Yong Shi
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Philip S. Yu
E-CLoG: Counting edge-centric local graphlets
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pp. 586-595
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Vachik S. Dave
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Nesreen K. Ahmed
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Mohammad Al Hasan
Multistream regression with asynchronous concept drift detection
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pp. 596-605
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Bo Dong
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Yifan Li
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Yang Gao
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Ahsanul Haque
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Latifur Khan
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Mohammad M. Masud
Bias correction in clustering coefficient estimation
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pp. 606-615
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Roohollah Etemadi
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Jianguo Lu
Closed walk sampler: An efficient method for estimating the spectral radius of large graphs
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pp. 616-625
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Guyue Han
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Harish Sethu
Online city-scale hyper-local event detection via analysis of social media and human mobility
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pp. 626-635
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Jun Hu
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Yuxin Wang
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Ping Li
Drum: A rhythmic approach to interactive analytics on large data
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pp. 636-645
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Jianfeng Jia
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Chen Li
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Michael J. Carey
Detecting changes in streaming data with information-theoretic windowing
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pp. 646-655
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Ryoya Kaneko
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Kohei Miyaguchi
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Kenji Yamanishi
Hybrid algorithms for subgraph pattern queries in graph databases
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pp. 656-665
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Foteini Katsarou
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Nikos Ntarmos
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Peter Triantafillou
Domain-specific hierarchical subgraph extraction: A recommendation use case
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pp. 666-675
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Sarasi Lalithsena
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Sujan Perera
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Pavan Kapanipathi
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Amit Sheth
COEUS: Community detection via seed-set expansion on graph streams
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pp. 676-685
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Panagiotis Liakos
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Alexandros Ntoulas
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Alex Delis
Rhea: Adaptively sampling authoritative content from social activity streams
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pp. 686-695
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Panagiotis Liakos
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Alexandrosb Ntoulas
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Text-based geolocation prediction of social media users with neural networks
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pp. 696-705
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Ismini Lourentzou
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Alex Morales
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ChengXiang Zhai
Crack random forest for arbitrary large datasets
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pp. 706-715
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Alessandro Lulli
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Luca Oneto
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Davide Anguita
S-Isomap++: Multi manifold learning from streaming data
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pp. 716-725
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Suchismit Mahapatra
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Varun Chandola
A scalable model for tracking topical evolution in large document collections
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pp. 726-735
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Sheikh Motahar Naim
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Arnold P. Boedihardjo
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M. Shahriar Hossain
Error-robust multi-view clustering
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pp. 736-745
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Mehrnaz Najafi
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Lifang He
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Philip S. Yu
Holistic and scalable ranking of RDF data
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pp. 746-755
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Axel-Cyrille
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Ngonga Ngomo
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Michael Hoffmann
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Ricardo Usbeck
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Kunal Jha
A comparative study of matrix factorization and random walk with restart in recommender systems
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pp. 756-765
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Haekyu Park
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Jinhong Jung
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U. Kang
VIGAN: Missing view imputation with generative adversarial networks
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pp. 766-775
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Chao Shang
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Aaron Palmer
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Jiangwen Sun
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Ko-Shin Chen
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Jin Lu
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Jinbo Bi
Tiered sampling: An efficient method for approximate counting sparse motifs in massive graph streams
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pp. 776-786
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Lorenzo De Stefani
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Erisa Terolli
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Eli Upfal
A fast non-volatile memory aware algorithm for generating random scale-free networks
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pp. 787-796
by
Cheng-Chin Tu
,
Mi-Yen Yeh
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Tei-Wei Kuo
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