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BigData Conference 2015: Santa Clara, CA, USA
- 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29 - November 1, 2015. IEEE Computer Society 2015, ISBN 978-1-4799-9926-2
- Léon Bottou
:
How big data changes statistical machine learning. 1 - H. V. Jagadish:
Moving past the "Wild West" era for Big Data. 2 - Ion Stoica:
Conquering Big Data with Spark. 3 - Ioanna Filippidou, Yannis Kotidis:
Online and on-demand partitioning of streaming graphs. 4-13 - Christos Anagnostopoulos
, Peter Triantafillou:
Learning to accurately COUNT with query-driven predictive analytics. 14-23 - Inho Cho, Soya Park, Sejun Park, Dongsu Han
, Jinwoo Shin:
Practical message-passing framework for large-scale combinatorial optimization. 24-31 - Padmashree Ravindra, HyeongSik Kim, Kemafor Anyanwu
:
Rewriting complex SPARQL analytical queries for efficient cloud-based processing. 32-37 - Salvador Aguiñaga, Aditya Nambiar, Zuozhu Liu, Tim Weninger:
Concept hierarchies and human navigation. 38-45 - Enric Junqué de Fortuny, Theodoros Evgeniou, David Martens, Foster J. Provost:
Iteratively refining SVMs using priors. 46-52 - Harish S. Bhat
, Nitesh Kumar, Garnet Jason Vaz:
Towards scalable quantile regression trees. 53-60 - Kilho Shin, Tetsuji Kuboyama
, Takako Hashimoto, Dave Shepard:
Super-CWC and super-LCC: Super fast feature selection algorithms. 61-67 - Don Libes, Seung-Jun Shin, Jungyub Woo:
Considerations and recommendations for data availability for data analytics for manufacturing. 68-75 - Toyotaro Suzumura, Koji Ueno:
ScaleGraph: A high-performance library for billion-scale graph analytics. 76-84 - Maria Malik, Setareh Rafatirah, Avesta Sasan, Houman Homayoun:
System and architecture level characterization of big data applications on big and little core server architectures. 85-94 - Ashwin Lall:
Data streaming algorithms for the Kolmogorov-Smirnov test. 95-104 - Jilong Kuang, Daniel G. Waddington, Changhui Lin:
Techniques for fast and scalable time series traffic generation. 105-114 - Katayoun Neshatpour, Maria Malik, Mohammad Ali Ghodrat, Avesta Sasan, Houman Homayoun:
Energy-efficient acceleration of big data analytics applications using FPGAs. 115-123 - Lorenz Fischer, Abraham Bernstein:
Workload scheduling in distributed stream processors using graph partitioning. 124-133 - Arghya Kusum Das, Seung-Jong Park
, Jae-Ki Hong, Wooseok Chang:
Evaluating different distributed-cyber-infrastructure for data and compute intensive scientific application. 134-143 - Vincenzo Gulisano
, Yiannis Nikolakopoulos, Marina Papatriantafilou
, Philippas Tsigas
:
Scalejoin: A deterministic, disjoint-parallel and skew-resilient stream join. 144-153 - Jilong Xue, Zhi Yang, Shian Hou, Yafei Dai:
When computing meets heterogeneous cluster: Workload assignment in graph computation. 154-163 - E. Preston Carman Jr.
, Till Westmann, Vinayak R. Borkar, Michael J. Carey, Vassilis J. Tsotras
:
A scalable parallel XQuery processor. 164-173 - Guoxin Liu, Haiying Shen, Haoyu Wang:
Computing load aware and long-view load balancing for cluster storage systems. 174-183 - Nam-Luc Tran, Thomas Peel, Sabri Skhiri:
Distributed frank-wolfe under pipelined stale synchronous parallelism. 184-192 - Michele Bertoni, Stefano Ceri, Abdulrahman Kaitoua, Pietro Pinoli
:
Evaluating cloud frameworks on genomic applications. 193-202 - Chenxi Qiu, Haiying Shen, Liuhua Chen:
Towards green cloud computing: Demand allocation and pricing policies for cloud service brokerage. 203-212 - Nikos Zacheilas, Vana Kalogeraki
, Nikolaos Zygouras, Nikolaos Panagiotou, Dimitrios Gunopulos
:
Elastic complex event processing exploiting prediction. 213-222 - Xi Yang, Ning Liu, Bo Feng, Xian-He Sun, Shujia Zhou:
PortHadoop: Support direct HPC data processing in Hadoop. 223-232 - John F. Canny, Huasha Zhao, Bobby Jaros, Ye Chen, Jiangchang Mao:
Machine learning at the limit. 233-242 - Nusrat Sharmin Islam, Md. Wasi-ur-Rahman, Xiaoyi Lu, Dipti Shankar, Dhabaleswar K. Panda:
Performance characterization and acceleration of in-memory file systems for Hadoop and Spark applications on HPC clusters. 243-252 - Serafettin Tasci, Murat Demirbas:
Panopticon: A lock broker architecture for scalable transactions in the datacenter. 253-262 - Dongfang Zhao, NagaPramod Mandagere, Gabriel Alatorre, Mohamed Mohamed, Heiko Ludwig:
Toward locality-aware scheduling for containerized cloud services. 263-270 - Min Du, Feifei Li:
ATOM: Automated tracking, orchestration and monitoring of resource usage in infrastructure as a service systems. 271-278 - Dongyao Wu, Sherif Sakr
, Liming Zhu
, Qinghua Lu:
Composable and efficient functional big data processing framework. 279-286 - Hyunjoo Kim, Sriganesh Madhvanath, Tong Sun:
Hybrid active learning for non-stationary streaming data with asynchronous labeling. 287-292 - Srikant Padala, Dinesh Kumar, Arun Raj, Janakiram Dharanipragada:
Octopus: A multi-job scheduler for Graphlab. 293-298 - Rubén Tous
, Anastasios Gounaris, Carlos Tripiana, Jordi Torres, Sergi Girona
, Eduard Ayguadé, Jesús Labarta
, Yolanda Becerra
, David Carrera
, Mateo Valero
:
Spark deployment and performance evaluation on the MareNostrum supercomputer. 299-306 - Zhenhua Chen, Jielong Xu, Jian Tang, Kevin A. Kwiat, Charles A. Kamhoua:
G-Storm: GPU-enabled high-throughput online data processing in Storm. 307-312 - Orcun Yildiz, Shadi Ibrahim, Tran Anh Phuong, Gabriel Antoniu:
Chronos: Failure-aware scheduling in shared Hadoop clusters. 313-318 - Kousuke Nakabasami, Toshiyuki Amagasa
, Salman Ahmed Shaikh
, Franck Gass, Hiroyuki Kitagawa
:
An architecture for stream OLAP exploiting SPE and OLAP engine. 319-326 - Wei Xie, Jiang Zhou, Mark Reyes, Jason Noble, Yong Chen
:
Two-mode data distribution scheme for heterogeneous storage in data centers. 327-332 - Teng Li, Jian Tang, Jielong Xu:
A predictive scheduling framework for fast and distributed stream data processing. 333-338 - Anthony Kleerekoper
, Michael Pappas, Adam Craig Pocock, Gavin Brown
, Mikel Luján:
A scalable implementation of information theoretic feature selection for high dimensional data. 339-346 - S. M. Faisal, Georgios Tziantzioulis, Ali Murat Gok, Nikolaos Hardavellas
, Seda Ogrenci Memik, Srinivasan Parthasarathy
:
Edge importance identification for energy efficient graph processing. 347-354 - Keira Zhou, Jack Wadden, Jeffrey J. Fox
, Ke Wang, Donald E. Brown, Kevin Skadron
:
Regular expression acceleration on the micron automata processor: Brill tagging as a case study. 355-360 - Suprio Ray, Angela Demke Brown, Nick Koudas, Rolando Blanco, Anil K. Goel:
Parallel in-memory trajectory-based spatiotemporal topological join. 361-370 - Bin Dong, Surendra Byna
, Kesheng Wu
:
Spatially clustered join on heterogeneous scientific data sets. 371-380 - Chung-Yi Li, Wei-Lun Su, Todd G. McKenzie, Fu-Chun Hsu, Shou-De Lin
, Jane Yung-jen Hsu, Phillip B. Gibbons:
Recommending missing sensor values. 381-390 - Cheng-Te Li, Yu-Jen Lin, Mi-Yen Yeh
:
The roles of network communities in social information diffusion. 391-400 - Vasilis Efthymiou, Kostas Stefanidis
, Vassilis Christophides:
Big data entity resolution: From highly to somehow similar entity descriptions in the Web. 401-410 - Vasilis Efthymiou, George Papadakis
, George Papastefanatos
, Kostas Stefanidis
, Themis Palpanas:
Parallel meta-blocking: Realizing scalable entity resolution over large, heterogeneous data. 411-420 - Bogdan Simion, Daniel N. Ilha, Suprio Ray, Leslie Barron, Angela Demke Brown, Ryan Johnson:
Slingshot: A modular framework for designing data processing systems. 421-430 - Eser Kandogan, Mary Roth, Peter M. Schwarz, Joshua Hui, Ignacio G. Terrizzano, Christina Christodoulakis, Renée J. Miller:
LabBook: Metadata-driven social collaborative data analysis. 431-440 - Huseyin Ulusoy, Murat Kantarcioglu, Erman Pattuk:
TrustMR: Computation integrity assurance system for MapReduce. 441-450 - Huseyin Ulusoy, Murat Kantarcioglu, Erman Pattuk, Lalana Kagal:
AccountableMR: Toward accountable MapReduce systems. 451-460 - Eleazar Leal, Le Gruenwald, Jianting Zhang, Simin You:
TKSimGPU: A parallel top-K trajectory similarity query processing algorithm for GPGPUs. 461-469 - Anand Tripathi, Bhagavathi Dhass Thirunavukarasu:
A transaction model for management of replicated data with multiple consistency levels. 470-477 - Jianting Zhang, Simin You, Le Gruenwald:
Quadtree-based lightweight data compression for large-scale geospatial rasters on multi-core CPUs. 478-484 - Roee Ebenstein
, Gagan Agrawal:
DSDQuery DSI - Querying scientific data repositories with structured operators. 485-492 - Smruti Padhy, Greg Jansen
, Jay Alameda, Edgar F. Black, Liana Diesendruck, Mike Dietze, Praveen Kumar, Rob Kooper, Jong Lee
, Rui Liu, Richard Marciano, Luigi Marini, Dave Mattson, Barbara S. Minsker
, Chris Navarro, Marcus Slavenas, William C. Sullivan
, Jason Votava, Inna Zharnitsky, Kenton McHenry:
Brown Dog: Leveraging everything towards autocuration. 493-500 - Afsin Akdogan, Saratchandra Indrakanti, Ugur Demiryurek, Cyrus Shahabi:
Cost-efficient partitioning of spatial data on cloud. 501-506 - Pouria Pirzadeh, Michael J. Carey, Till Westmann:
BigFUN: A performance study of big data management system functionality. 507-514 - Tonglin Li, Ke Wang, Dongfang Zhao, Kan Qiao, Iman Sadooghi, Xiaobing Zhou, Ioan Raicu:
A flexible QoS fortified distributed key-value storage system for the cloud. 515-522 - Mahdi Ebrahimi, Aravind Mohan, Shiyong Lu, Robert G. Reynolds:
TPS: A task placement strategy for big data workflows. 523-530 - Yuqing Zhu
, Yilei Wang:
Improving transaction processing performance by consensus reduction. 531-538 - Dipti Shankar, Xiaoyi Lu, Md. Wasi-ur-Rahman, Nusrat S. Islam, Dhabaleswar K. Panda:
Benchmarking key-value stores on high-performance storage and interconnects for web-scale workloads. 539-544 - Roberto Tardío, Alejandro Maté
, Juan Trujillo
:
An iterative methodology for big data management, analysis and visualization. 545-550 - Chin-Chi Hsu, Perng-Hwa Kung, Mi-Yen Yeh
, Shou-De Lin
, Phillip B. Gibbons:
Bandwidth-efficient distributed k-nearest-neighbor search with dynamic time warping. 551-560 - Liang Zhao, Feng Chen, Chang-Tien Lu
, Naren Ramakrishnan
:
Dynamic theme tracking in Twitter. 561-570 - Sean Massung, ChengXiang Zhai:
SyntacticDiff: Operator-based transformation for comparative text mining. 571-580 - Yixian Zheng, Wenchao Wu
, Huamin Qu, Chunyan Ma, Lionel M. Ni:
Visual analysis of bi-directional movement behavior. 581-590 - Yuncheng Li, Tao Mei, Yang Cong, Jiebo Luo
:
User-curated image collections: Modeling and recommendation. 591-600 - Ke Wang, Ping Guo
, A-Li Luo
:
Angular quantization based affinity propagation clustering and its application to astronomical big spectra data. 601-608 - Yibo Yao, Lawrence B. Holder:
Scalable classification for large dynamic networks. 609-618 - Ruslan Mavlyutov, Philippe Cudré-Mauroux
:
CINTIA: A distributed, low-latency index for big interval data. 619-628 - Yang Wang, Kwan-Liu Ma:
Revealing the fog-of-war: A visualization-directed, uncertainty-aware approach for exploring high-dimensional data. 629-638 - Bokai Cao, Francine Chen, Dhiraj Joshi, Philip S. Yu:
Inferring crowd-sourced venues for tweets. 639-648 - Huanhuan Wu, James Cheng, Yi Lu, Yiping Ke
, Yuzhen Huang, Da Yan, Hejun Wu:
Core decomposition in large temporal graphs. 649-658 - Jason H. D. Cho, Yanen Li, Roxana Girju, Chengxiang Zhai:
Recommending forum posts to designated experts. 659-666 - Mark Gates
, Hartwig Anzt
, Jakub Kurzak, Jack J. Dongarra:
Accelerating collaborative filtering using concepts from high performance computing. 667-676 - Wei Xie, Feida Zhu
, Siyuan Liu, Ke Wang:
Modelling cascades over time in microblogs. 677-686 - Yasser Salem, Jun Hong, Weiru Liu
:
CSFinder: A cold-start friend finder in large-scale social networks. 687-696 - Hien To, Seon Ho Kim, Cyrus Shahabi:
Effectively crowdsourcing the acquisition and analysis of visual data for disaster response. 697-706 - Zhen Chen, Hanghang Tong
, Lei Ying
:
Full diffusion history reconstruction in networks. 707-716 - Demetris Trihinas, George Pallis
, Marios D. Dikaiakos:
AdaM: An adaptive monitoring framework for sampling and filtering on IoT devices. 717-726 - Suchismit Mahapatra
, Varun Chandola:
Modeling graphs using a mixture of Kronecker models. 727-736 - Stephen Bonner, Andrew Stephen McGough, Ibad Kureshi
, John Brennan
, Georgios Theodoropoulos
, Laura Moss
, David Corsar
, Grigoris Antoniou
:
Data quality assessment and anomaly detection via map/reduce and linked data: A case study in the medical domain. 737-746 - Tian Guo, Jean-Paul Calbimonte
, Hao Zhuang, Karl Aberer:
SigCO: Mining significant correlations via a distributed real-time computation engine. 747-756 - Yen-Kai Wang, Wei-Ming Chen, Cheng-Te Li, Shou-De Lin
:
Identifying smallest unique subgraphs in a heterogeneous social network. 757-766 - Jiejun Xu, Tsai-Ching Lu:
Toward precise user-topic alignment in online social media. 767-775 - Masahiko Itoh, Daisaku Yokoyama, Masashi Toyoda, Masaru Kitsuregawa:
Visual interface for exploring caution spots from vehicle recorder big data. 776-784 - Amir Bahmani, Frank Mueller:
ACURDION: An adaptive clustering-based algorithm for tracing large-scale MPI applications. 785-792 - Max C. Watson:
Time maps: A tool for visualizing many discrete events across multiple timescales. 793-800 - Xugang Ye, Zijie Qi, Dan Massey:
Learning relevance from click data via neural network based similarity models. 801-806 - Chad A. Steed
, Margaret Drouhard
, Justin M. Beaver
, Joshua Pyle, Paul Logasa Bogen:
Matisse: A visual analytics system for exploring emotion trends in social media text streams. 807-814 - Sihong Xie, Qingbo Hu, Jingyuan Zhang, Jing Gao, Wei Fan, Philip S. Yu:
Robust crowd bias correction via dual knowledge transfer from multiple overlapping sources. 815-820 - Deepika Lalwani, Durvasula V. L. N. Somayajulu, P. Radha Krishna:
A community driven social recommendation system. 821-826 - Yongfeng Zhang, Min Zhang, Yiqun Liu, Tat-Seng Chua, Yi Zhang
, Shaoping Ma:
Task-based recommendation on a web-scale. 827-836 - Xiaowei Jia, Aosen Wang, Xiaoyi Li, Guangxu Xun
, Wenyao Xu, Aidong Zhang:
Multi-modal learning for video recommendation based on mobile application usage. 837-842 - Xiaoyi Li, Xiaowei Jia, Guangxu Xun
, Aidong Zhang:
Improving EEG feature learning via synchronized facial video. 843-848 - Muyi Liu, Michael Gribskov
:
MMC-margin: Identification of maximum frequent subgraphs by metropolis Monte Carlo sampling. 849-856 - Yue Wang, Ke Wang, Ada Wai-Chee Fu, Raymond Chi-Wing Wong:
KeyLabel algorithms for keyword search in large graphs. 857-864 - Chung-Hsien Yu, Dong Luo, Wei Ding
, Joseph Paul Cohen, David L. Small, Shafiqul Islam:
Spatio-temporal asynchronous co-occurrence pattern for big climate data towards long-lead flood prediction. 865-870 - Luca Pappalardo
, Dino Pedreschi
, Zbigniew Smoreda
, Fosca Giannotti:
Using big data to study the link between human mobility and socio-economic development. 871-878 - Tri Kurniawan Wijaya, Matteo Vasirani, Samuel Humeau, Karl Aberer:
Cluster-based aggregate forecasting for residential electricity demand using smart meter data. 879-887 - Masayo Ota, Huy T. Vo, Cláudio T. Silva, Juliana Freire
:
A scalable approach for data-driven taxi ride-sharing simulation. 888-897 - Desheng Zhang, Ruobing Jiang
, Shuai Wang, Yanmin Zhu, Bo Yang, Jian Cao, Fan Zhang, Tian He:
EveryoneCounts: Data-driven digital advertising with uncertain demand model in metro networks. 898-907 - Liang Zhao, Wen-Zhan Song
, Xiaojing Ye:
Fast decentralized gradient descent method and applications to in-situ seismic tomography. 908-917 - Zhao Zhang, Kyle Barbary, Frank Austin Nothaft, Evan Randall Sparks, Oliver Zahn, Michael J. Franklin, David A. Patterson, Saul Perlmutter:
Scientific computing meets big data technology: An astronomy use case. 918-927 - Michael Nalisnik, David A. Gutman, Jun Kong, Lee A. D. Cooper:
An interactive learning framework for scalable classification of pathology images. 928-935 - Yu Wang, Jianbo Yuan, Jiebo Luo
:
America Tweets China: A fine-grained analysis of the state and individual characteristics regarding attitudes towards China. 936-943 - Yu Jin, Joseph F. JáJá, Rong Chen, Edward H. Herskovits:
A data-driven approach to extract connectivity structures from diffusion tensor imaging data. 944-951 - Georgios Chatzigeorgakidis, Sophia Karagiorgou, Spiros Athanasiou, Spiros Skiadopoulos
:
A MapReduce based k-NN joins probabilistic classifier. 952-957 - Alessandro Lulli, Thibault Debatty, Matteo Dell'Amico
, Pietro Michiardi, Laura Ricci
:
Scalable k-NN based text clustering. 958-963 - Yuwen Chen, Jian Cao, Shanshan Feng, Yudong Tan:
An ensemble learning based approach for building airfare forecast service. 964-969