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ORCIDBigData Conference 2015: Santa Clara, CA, USA
- 2015 IEEE International Conference on Big Data, Big Data 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 Stocia:
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 J. 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, A. M. 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 R. 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 - Mack Sweeney, Jaime Lester, Huzefa Rangwala:
Next-term student grade prediction. 970-975 - Sofia Apreleva, Alejandro Cantarero:
Predicting the location of users on Twitter from low density graphs. 976-983 - Elias Alevizos, Alexander Artikis, Kostas Patroumpas, Marios Vodas, Yannis Theodoridis, Nikos Pelekis:
How not to drown in a sea of information: An event recognition approach. 984-990 - Jiaoyan Chen, Huajun Chen, Daning Hu, Jeff Z. Pan, Yalin Zhou:
Smog disaster forecasting using social web data and physical sensor data. 991-998 - Kamalika Das, Kanishka Bhaduri, Bryan L. Matthews, Nikunj C. Oza:
Large scale support vector regression for aviation safety. 999-1006 - Lorenzo Gabrielli, Barbara Furletti, Roberto Trasarti, Fosca Giannotti, Dino Pedreschi:
City users' classification with mobile phone data. 1007-1012 - Anas Abu-Doleh, Ümit V. Çatalyürek:
Spaler: Spark and GraphX based de novo genome assembler. 1013-1018 - Florin Schimbinschi, Xuan Vinh Nguyen, James Bailey, Christopher Leckie, Hai Le Vu, Rao Kotagiri:
Traffic forecasting in complex urban networks: Leveraging big data and machine learning. 1019-1024 - Karla L. Caballero Barajas, Ram Akella:
Prediction of physiological subsystem failure and its impact in the prediction of patient mortality. 1025-1030