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BigData Conference 2017: Boston, MA, USA
- Jian-Yun Nie, Zoran Obradovic, Toyotaro Suzumura, Rumi Ghosh, Raghunath Nambiar, Chonggang Wang, Hui Zang, Ricardo Baeza-Yates, Xiaohua Hu, Jeremy Kepner, Alfredo Cuzzocrea, Jian Tang, Masashi Toyoda:
2017 IEEE International Conference on Big Data (IEEE BigData 2017), Boston, MA, USA, December 11-14, 2017. IEEE Computer Society 2017, ISBN 978-1-5386-2715-0 - Carla E. Brodley:
Human-in-the-loop applied machine learning. 1 - Alan Edelman:
A more open efficient future for AI development and data science with an introduction to Julia. 2 - John Langford:
Contextual reinforcement learning. 3 - Jure Leskovec:
Large-scale graph representation learning. 4 - Satoshi Matsuoka:
Being "BYTES-oriented" in HPC leads to an open big data/AI ecosystem and further advances into the post-moore era. 5 - ChengXiang Zhai:
TextScope: Enhance human perception via text mining. 6 - Feng Chen, Chunpai Wang, Jin-Hee Cho:
Collective subjective logic: Scalable uncertainty-based opinion inference. 7-16 - Natascha Harth
, Christos Anagnostopoulos
:
Quality-aware aggregation & predictive analytics at the edge. 17-26 - Sheng Li, Yun Fu:
Robust multi-label semi-supervised classification. 27-36 - Xiaoli Li, Sai Nivedita Chandrasekaran, Jun Huan:
Lifelong multi-task multi-view learning using latent spaces. 37-46 - Natalia Ponomareva, Thomas Colthurst, Gilbert Hendry, Salem Haykal, Soroush Radpour:
Compact multi-class boosted trees. 47-56 - Daniel Yue Zhang, Dong Wang, Yang Zhang:
Constraint-aware dynamic truth discovery in big data social media sensing. 57-66 - Peter Baumann
:
Standardizing big earth datacubes. 67-73 - Salima Benbernou, Mourad Ouziri:
Enhancing data quality by cleaning inconsistent big RDF data. 74-79 - Byron J. Gao, Robert Tung, Yong Yang:
Iterative matrix correlation for bisection clustering. 80-87 - Diego Granziol, Stephen J. Roberts:
Entropic determinants of massive matrices. 88-93 - Er-Chen Huang, Hsing-Kuo Pao, Yuh-Jye Lee:
Big active learning. 94-101 - Hasan Kurban
, Mehmet M. Dalkilic:
A novel approach to optimization of iterative machine learning algorithms: Over heap structure. 102-109 - Sheng Li, Hongfu Liu, Zhiqiang Tao, Yun Fu:
Multi-view graph learning with adaptive label propagation. 110-115 - Christian S. Schmid, Bruce A. Desmarais:
Exponential random graph models with big networks: Maximum pseudolikelihood estimation and the parametric bootstrap. 116-121 - Sam Wood, Rohit Muthyala, Yi Jin, Yixing Qin, Nilaj Rukadikar, Amit Rai, Hua Gao:
Automated industry classification with deep learning. 122-129 - Jonghyun Bae, Hakbeom Jang, Wenjing Jin, Jun Heo, Jaeyoung Jang, Joo Young Hwang, Sangyeun Cho, Jae W. Lee:
Jointly optimizing task granularity and concurrency for in-memory mapreduce frameworks. 130-140 - Nathanael Cheriere, Gabriel Antoniu:
How fast can one scale down a distributed file system? 141-150 - Thomas Swearingen, Will Drevo, Bennett Cyphers, Alfredo Cuesta-Infante
, Arun Ross, Kalyan Veeramachaneni:
ATM: A distributed, collaborative, scalable system for automated machine learning. 151-162 - Ioannis Giannakopoulos, Dimitrios Tsoumakos, Nectarios Koziris:
A decision tree based approach towards adaptive modeling of big data applications. 163-172 - Shashank Gugnani, Xiaoyi Lu, Houliang Qi, Li Zha, Dhabaleswar K. Panda:
Characterizing and accelerating indexing techniques on distributed ordered tables. 173-182 - Yuki Ito, Ryo Matsumiya, Toshio Endo:
ooc_cuDNN: Accommodating convolutional neural networks over GPU memory capacity. 183-192 - HyeongSik Kim, Padmashree Ravindra, Kemafor Anyanwu
:
A semantics-aware storage framework for scalable processing of knowledge graphs on Hadoop. 193-202 - Konstantinos Lolos, Ioannis Konstantinou, Verena Kantere, Nectarios Koziris:
Elastic management of cloud applications using adaptive reinforcement learning. 203-212 - Xiaoyi Lu, Haiyang Shi, Dipti Shankar, Dhabaleswar K. Panda:
Performance characterization and acceleration of big data workloads on OpenPOWER system. 213-222 - Diego Marron, Eduard Ayguadé, José R. Herrero, Jesse Read, Albert Bifet
:
Low-latency multi-threaded ensemble learning for dynamic big data streams. 223-232 - Arnab Kumar Paul
, Arpit Goyal, Feiyi Wang, Sarp Oral
, Ali Raza Butt
, Michael J. Brim
, Sangeetha B. Srinivasa:
I/O load balancing for big data HPC applications. 233-242 - Bo Peng, Bingjing Zhang, Langshi Chen, Mihai Avram, Robert Henschel, Craig A. Stewart, Shaojuan Zhu, Emily McCallum, Lisa Smith, Tom Zahniser, Jon Omer, Judy Qiu:
HarpLDA+: Optimizing latent dirichlet allocation for parallel efficiency. 243-252 - Jim Pivarski, Peter Elmer, Brian Bockelman
, Zhe Zhang:
Fast access to columnar, hierarchically nested data via code transformation. 253-262 - Alex Watson, Deepigha Shree Vittal Babu, Suprio Ray:
Sanzu: A data science benchmark. 263-272 - Luna Xu, Seung-Hwan Lim, Min Li, Ali Raza Butt
, Ramakrishnan Kannan:
Scaling up data-parallel analytics platforms: Linear algebraic operation cases. 273-282 - Xiaodong Yu, Kaixi Hou, Hao Wang, Wu-chun Feng:
Robotomata: A framework for approximate pattern matching of big data on an automata processor. 283-292 - Yunming Zhang, Vladimir Kiriansky, Charith Mendis, Saman P. Amarasinghe, Matei Zaharia:
Making caches work for graph analytics. 293-302 - Bilal Akil, Ying Zhou, Uwe Röhm
:
On the usability of Hadoop MapReduce, Apache Spark & Apache flink for data science. 303-310 - Mohammed M. Alawad
, Hong-Jun Yoon, Georgia D. Tourassi:
Energy efficient stochastic-based deep spiking neural networks for sparse datasets. 311-318 - Lars Arge, Mathias Rav, Svend C. Svendsen, Jakob Truelsen:
External memory pipelining made easy with TPIE. 319-324 - Dapeng Dong
, John Herbert:
Compressed domain-specific data processing and analysis. 325-330 - Celestine Dünner, Thomas P. Parnell, Kubilay Atasu, Manolis Sifalakis, Haralampos Pozidis:
Understanding and optimizing the performance of distributed machine learning applications on apache spark. 331-338 - Xiao Meng, Lukasz Golab:
Optimal reducer placement to minimize data transfer in MapReduce-style processing. 339-346 - Michael Mercier, David Glesser, Yiannis Georgiou, Olivier Richard:
Big data and HPC collocation: Using HPC idle resources for Big Data analytics. 347-352 - Axel Oehmichen
, Florian Guitton
, Kai Sun, Jean Grizet, Thomas Heinis, Yike Guo:
eTRIKS analytical environment: A modular high performance framework for medical data analysis. 353-360 - Ilia Pietri
, Yannis Chronis, Yannis E. Ioannidis:
Multi-objective optimization of scheduling dataflows on heterogeneous cloud resources. 361-368 - Md. Wasi-ur-Rahman, Nusrat Sharmin Islam, Xiaoyi Lu, Dhabaleswar K. Panda:
NVMD: Non-volatile memory assisted design for accelerating MapReduce and DAG execution frameworks on HPC systems. 369-374 - Xinhui Tian, Yuanqing Guo, Jianfeng Zhan, Lei Wang:
Towards memory and computation efficient graph processing on spark. 375-382 - Alexander Ulanov, Manish Marwah, Mijung Kim, Roshan Dathathri, Carlos Zubieta, Jun Li:
Sandpiper: Scaling probabilistic inferencing to large scale graphical models. 383-388 - Nikos Zacheilas, Stathis Maroulis, Vana Kalogeraki
:
Dione: Profiling spark applications exploiting graph similarity. 389-394 - Mohammad Asghari, Cyrus Shahabi:
On on-line task assignment in spatial crowdsourcing. 395-404 - Ilir Fetai, Alexander Stiemer
, Heiko Schuldt:
QuAD: A quorum protocol for adaptive data management in the cloud. 405-414 - Valérie Hayot-Sasson, Yongping Gao, Yuhong Yan, Tristan Glatard:
Sequential algorithms to split and merge ultra-high resolution 3D images. 415-424 - Shahab Helmi, Farnoush Banaei Kashani:
Spatiotemporal range pattern queries on large-scale co-movement pattern datasets. 425-434 - Srinivasan Venkatramanan, Sichao Wu, Bowen Shi, Achla Marathe, Madhav V. Marathe, Stephen G. Eubank
, Lalit P. Sah, A. P. Giri, Luke A. Colavito, K. S. Nitin, V. Sridhar, R. Asokan, Rangaswamy Muniappan, G. Norton, Abhijin Adiga:
Towards robust models of food flows and their role in invasive species spread. 435-444 - Juan A. Colmenares, Reza Dorrigiv, Daniel G. Waddington:
A single-node datastore for high-velocity multidimensional sensor data. 445-452 - Isabelle Comyn-Wattiau
, Jacky Akoka:
Model driven reverse engineering of NoSQL property graph databases: The case of Neo4j. 453-458 - Helge Holzmann, Vinay Goel, Emily Novak Gustainis:
Universal distant reading through metadata proxies with archivespark. 459-464 - Md. S. Q. Zulkar Nine, Kemal Guner, Ziyun Huang, Xiangyu Wang, Jinhui Xu, Tevfik Kosar:
Big data transfer optimization based on offline knowledge discovery and adaptive sampling. 465-472 - Ramyar Saeedi, Skyler Norgaard, Assefaw Hadish Gebremedhin:
A closed-loop deep learning architecture for robust activity recognition using wearable sensors. 473-479 - Haiying Shen, Heng Zhou:
CStorage: An efficient classification-based image storage system in cloud datacenters. 480-485 - Dingwen Tao
, Sheng Di, Zizhong Chen
, Franck Cappello:
In-depth exploration of single-snapshot lossy compression techniques for N-body simulations. 486-493 - Xian Wu, Yuxiao Dong, Jun Tao, Chao Huang, Nitesh V. Chawla
:
Reliable fake review detection via modeling temporal and behavioral patterns. 494-499 - Masahiro Yokoyama, Takahiro Hara, Sanjay Kumar Madria:
Efficient diversified set monitoring for mobile sensor stream environments. 500-507 - Yangwen Yu, James Jian Qiao Yu
, Victor O. K. Li, Jacqueline C. K. Lam:
Low-rank singular value thresholding for recovering missing air quality data. 508-513 - Lina Yu, Michael L. Rilee, Yu Pan, Feiyu Zhu, Kwo-Sen Kuo, Hongfeng Yu:
Visual analytics with unparalleled variety scaling for big earth data. 514-521 - Ming Zeng, Tong Yu, Xiao Wang, Le T. Nguyen, Ole J. Mengshoel, Ian R. Lane:
Semi-supervised convolutional neural networks for human activity recognition. 522-529 - Xibo Zhou, Ye Ding, Fengchao Peng, Qiong Luo
, Lionel M. Ni:
Detecting unmetered taxi rides from trajectory data. 530-535 - Giambattista Amati
, Simone Angelini, Giorgio Gambosi, Gianluca Rossi
, Paola Vocca
:
Estimation of distance-based metrics for very large graphs with MinHash Signatures. 536-545 - Philipp Baumann, Dorit S. Hochbaum, Quico Spaen:
High-performance geometric algorithms for sparse computation in big data analytics. 546-555 - Sreyasee Das Bhattacharjee, Ashit Talukder, Bala Venkatram Balantrapu:
Active learning based news veracity detection with feature weighting and deep-shallow fusion. 556-565 - Chandramani Chaudhary, Poonam Goyal
, Yi-Ping Phoebe Chen
:
Exploiting visual and textual neighborhood information to improve image-tag relevance. 566-575 - Limeng Cui, Jiawei Zhang, Zhensong Chen, Yong Shi, Philip S. Yu:
Inverse extreme learning machine for learning with label proportions. 576-585 - Vachik S. Dave, Nesreen K. Ahmed, Mohammad Al Hasan:
E-CLoG: Counting edge-centric local graphlets. 586-595 - Bo Dong, Yifan Li, Yang Gao, Ahsanul Haque, Latifur Khan
, Mohammad M. Masud:
Multistream regression with asynchronous concept drift detection. 596-605 - Roohollah Etemadi, Jianguo Lu:
Bias correction in clustering coefficient estimation. 606-615 - Guyue Han, Harish Sethu:
Closed walk sampler: An efficient method for estimating the spectral radius of large graphs. 616-625 - Jun Hu, Yuxin Wang, Ping Li:
Online city-scale hyper-local event detection via analysis of social media and human mobility. 626-635 - Jianfeng Jia, Chen Li, Michael J. Carey:
Drum: A rhythmic approach to interactive analytics on large data. 636-645 - Ryoya Kaneko, Kohei Miyaguchi, Kenji Yamanishi:
Detecting changes in streaming data with information-theoretic windowing. 646-655 - Foteini Katsarou, Nikos Ntarmos
, Peter Triantafillou:
Hybrid algorithms for subgraph pattern queries in graph databases. 656-665 - Sarasi Lalithsena, Sujan Perera, Pavan Kapanipathi, Amit P. Sheth:
Domain-specific hierarchical subgraph extraction: A recommendation use case. 666-675 - Panagiotis Liakos, Alexandros Ntoulas, Alex Delis:
COEUS: Community detection via seed-set expansion on graph streams. 676-685 - Panagiotis Liakos, Alexandros Ntoulas, Alex Delis:
Rhea: Adaptively sampling authoritative content from social activity streams. 686-695 - Ismini Lourentzou, Alex Morales, ChengXiang Zhai:
Text-based geolocation prediction of social media users with neural networks. 696-705 - Alessandro Lulli, Luca Oneto
, Davide Anguita
:
Crack random forest for arbitrary large datasets. 706-715 - Suchismit Mahapatra
, Varun Chandola:
S-Isomap++: Multi manifold learning from streaming data. 716-725 - Sheikh Motahar Naim, Arnold P. Boedihardjo, Mahmud Shahriar Hossain:
A scalable model for tracking topical evolution in large document collections. 726-735 - Mehrnaz Najafi, Lifang He
, Philip S. Yu:
Error-robust multi-view clustering. 736-745 - Axel-Cyrille Ngonga Ngomo, Michael Hoffmann, Ricardo Usbeck
, Kunal Jha:
Holistic and scalable ranking of RDF data. 746-755 - Haekyu Park, Jinhong Jung, U Kang:
A comparative study of matrix factorization and random walk with restart in recommender systems. 756-765 - Chao Shang, Aaron Palmer, Jiangwen Sun, Ko-Shin Chen, Jin Lu
, Jinbo Bi:
VIGAN: Missing view imputation with generative adversarial networks. 766-775 - Lorenzo De Stefani, Erisa Terolli, Eli Upfal:
Tiered sampling: An efficient method for approximate counting sparse motifs in massive graph streams. 776-786 - Cheng-Chin Tu, Mi-Yen Yeh
, Tei-Wei Kuo
:
A fast non-volatile memory aware algorithm for generating random scale-free networks. 787-796 - Nguyen Vo
, Kyumin Lee, Thanh Tran:
MRAttractor: Detecting communities from large-scale graphs. 797-806 - Yueyao Wang, Qinmin Hu, Yang Song, Liang He:
Potentiality of healthcare big data: Improving search by automatic query reformulation. 807-816 - Ichitaro Yamazaki, Stanimire Tomov
, Jack J. Dongarra:
Sampling algorithms to update truncated SVD. 817-826 - Yizhou Yan, Lei Cao, Elke A. Rundensteiner:
Distributed Top-N local outlier detection in big data. 827-836 - Tong Yang, Binchao Yin, Hang Li, Muhammad Shahzad, Steve Uhlig, Bin Cm, Xiaoming Li:
Rectangular hash table: Bloom filter and bitmap assisted hash table with high speed. 837-846 - Xinli Yu, Zheng Chen, Wei-Shih Yang, Xiaohua Hu, Erjia Yan, Guangrong Li:
Large-scale joint topic, sentiment & user preference analysis for online reviews. 847-856 - Chuxu Zhang, Lu Yu, Xiangliang Zhang
, Nitesh V. Chawla
:
ImWalkMF: Joint matrix factorization and implicit walk integrative learning for recommendation. 857-866 - Lei Zheng, Bokai Cao, Vahid Noroozi, Philip S. Yu, Nianzu Ma:
Hierarchical collaborative embedding for context-aware recommendations. 867-876 - Ebad Ahmadzadeh, Philip K. Chan
:
Mining pros and cons of actions from social media for decision support. 877-882 - Masato Asahara, Ryohei Fujimaki:
Distributed Bayesian piecewise sparse linear models. 883-888 - Kubilay Atasu, Thomas P. Parnell, Celestine Dünner, Manolis Sifalakis, Haralampos Pozidis, Vasileios Vasileiadis, Michail Vlachos
, Cesar Berrospi, Abdel Labbi:
Linear-complexity relaxed word Mover's distance with GPU acceleration. 889-896 - Ricardo Baeza-Yates
, Zeinab Liaghat:
Quality-efficiency trade-offs in machine learning for text processing. 897-904 - Jose Cadena, Saliya Ekanayake, Anil Vullikanti:
Fast graph scan statistics optimization using algebraic fingerprints. 905-910 - Zaineb Chelly Dagdia
, Christine Zarges
, Gaël Beck, Mustapha Lebbah:
A distributed rough set theory based algorithm for an efficient big data pre-processing under the spark framework. 911-916 - Hoang Anh Dau, Diego Furtado Silva, François Petitjean, Germain Forestier
, Anthony J. Bagnall, Eamonn J. Keogh:
Judicious setting of Dynamic Time Warping's window width allows more accurate classification of time series. 917-922 - Alexander Denzler, Michael Kaufmann:
Toward granular knowledge analytics for data intelligence: Extracting granular entity-relationship graphs for knowledge profiling. 923-928 - Ankit Desai, Sanjay Chaudhary:
Distributed decision tree v.2.0. 929-934 - Mohammad M. Ghassemi, Willow Jarvis, Tuka Alhanai
, Emery N. Brown, Roger G. Mark, M. Brandon Westover:
An open-source tool for the transcription of paper-spreadsheet data: Code and supplemental materials available online: Https: //github.com/deskool/images to spreadsheets. 935-941 - Poonam Goyal
, Jagat Sesh Challa, Shivin Shrivastava, Navneet Goyal:
AnyFI: An anytime frequent itemset mining algorithm for data streams. 942-947 - Tatsuru Kobayashi, Shin Matsushima, Taito Lee, Kenji Yamanishi:
Discovering potential traffic risks in Japan using a supervised learning approach. 948-955 - Martin Koehler, Alex Bogatu, Cristina Civili, Nikolaos Konstantinou, Edward Abel
, Alvaro A. A. Fernandes, John A. Keane,