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BigData Conference 2014: Washington, DC, USA
- Jimmy Lin, Jian Pei, Xiaohua Hu, Wo Chang, Raghunath Nambiar, Charu C. Aggarwal, Nick Cercone, Vasant G. Honavar, Jun Huan, Bamshad Mobasher, Saumyadipta Pyne:
2014 IEEE International Conference on Big Data (IEEE BigData 2014), Washington, DC, USA, October 27-30, 2014. IEEE Computer Society 2014, ISBN 978-1-4799-5665-4 - Lengdong Wu, Li-Yan Yuan, Jia-Huai You:
BASIC: An alternative to BASE for large-scale data management system. 5-14 - Sushovan De, Yuheng Hu, Yi Chen, Subbarao Kambhampati:
BayesWipe: A multimodal system for data cleaning and consistent query answering on structured bigdata. 15-24 - Stéphan Clémençon, Patrice Bertail, Emilie Chautru:
Scaling up M-estimation via sampling designs: The Horvitz-Thompson stochastic gradient descent. 25-30 - Jane Greenberg, Adrian Ogletree
, Angela P. Murillo
Metadata capital: Simulating the predictive value of Self-Generated Health Information (SGHI). 31-36 - Raghvendra Mall
Representative subsets for big data learning using k-NN graphs. 37-42 - Rubing Duan, Rick Siow Mong Goh, Feng Yang
Towards building and evaluating a personalized location-based recommender system. 43-48 - Sarker Tanzir Ahmed, Dmitri Loguinov:
On the performance of MapReduce: A stochastic approach. 49-54 - Khalifeh AlJadda, Mohammed Korayem, Camilo Ortiz, Trey Grainger, John A. Miller
PGMHD: A scalable probabilistic graphical model for massive hierarchical data problems. 55-60 - Dongfang Zhao, Zhao Zhang, Xiaobing Zhou, Tonglin Li, Ke Wang, Dries Kimpe, Philip H. Carns, Robert B. Ross, Ioan Raicu:
FusionFS: Toward supporting data-intensive scientific applications on extreme-scale high-performance computing systems. 61-70 - Teng Wang, Sarp Oral
BurstMem: A high-performance burst buffer system for scientific applications. 71-79 - Junwhan Kim:
Partial rollback-based scheduling on in-memory transactional data grids. 80-89 - Hao Chen, Sastry S. Duri, Vasanth Bala, Nilton T. Bila, Canturk Isci, Ayse K. Coskun:
Detecting and identifying system changes in the cloud via discovery by example. 90-99 - Kyungho Jeon, Sharath Chandrashekhara, Feng Shen, Shikhar Mehra, Oliver Kennedy, Steven Y. Ko:
PigOut: Making multiple Hadoop clusters work together. 100-109 - Zhisong Fu, Harish Kumar Dasari, Bradley R. Bebee, Martin Berzins, Bryan B. Thompson:
Parallel Breadth First Search on GPU clusters. 110-118 - Ke Wang, Xiaobing Zhou, Tonglin Li, Dongfang Zhao, Michael Lang, Ioan Raicu:
Optimizing load balancing and data-locality with data-aware scheduling. 119-128 - Zhang Fu, Magnus Almgren
Online temporal-spatial analysis for detection of critical events in Cyber-Physical Systems. 129-134 - Xuejie Xiao, Jian Tang, Zhenhua Chen, Jielong Xu, Chonggang Wang:
A cross-job framework for MapReduce scheduling. 135-140 - Jia-Chun Lin, Ming-Chang Lee, Ramin Yahyapour
Scheduling MapReduce tasks on virtual MapReduce clusters from a tenant's perspective. 141-146 - Takatsugu Ono, Yotaro Konishi, Teruo Tanimoto
FlexDAS: A flexible direct attached storage for I/O intensive applications. 147-152 - Lena Mashayekhy, Mahyar Movahed Nejad, Daniel Grosu
A two-sided market mechanism for trading big data computing commodities. 153-158 - Zhiyuan Lin
MMap: Fast billion-scale graph computation on a PC via memory mapping. 159-164 - Arian Bär, Alessandro Finamore, Pedro Casas, Lukasz Golab, Marco Mellia
Large-scale network traffic monitoring with DBStream, a system for rolling big data analysis. 165-170 - Jason W. Anderson, Ken E. Kennedy, Linh Bao Ngo, André Luckow, Amy W. Apon:
Synthetic data generation for the internet of things. 171-176 - Diana Gudu
Evaluating the performance and scalability of the Ceph distributed storage system. 177-182 - Li Jiang, Hideyuki Kawashima, Osamu Tatebe:
Incremental window aggregates over array database. 183-188 - Michel Angelo Roger, Yiqi Xu, Ming Zhao:
BigCache for big-data systems. 189-194 - Evie Kassela, Christina Boumpouka, Ioannis Konstantinou, Nectarios Koziris:
Automated workload-aware elasticity of NoSQL clusters in the cloud. 195-200 - Khoa Luu
Distributed class dependent feature analysis - A big data approach. 201-206 - Krish K. R., M. Safdar Iqbal, Ali Raza Butt
VENU: Orchestrating SSDs in hadoop storage. 207-212 - Nusrat Sharmin Islam, Xiaoyi Lu, Md. Wasi-ur-Rahman, Raghunath Rajachandrasekar, Dhabaleswar K. Panda:
In-memory I/O and replication for HDFS with Memcached: Early experiences. 213-218 - Douglas Otstott, Noah Evans, Latchesar Ionkov, Ming Zhao, Michael Lang
Enabling composite applications through an asynchronous shared memory interface. 219-224 - Silu Huang, Ada Wai-Chee Fu:
k-Balanced sorting and skew join in MPI and MapReduce. 225-230 - Dongfang Zhao, Jian Yin, Kan Qiao, Ioan Raicu:
Virtual chunks: On supporting random accesses to scientific data in compressible storage systems. 231-240 - Mohammed Nazim Feroz, Susan A. Mengel:
Examination of data, rule generation and detection of phishing URLs using online logistic regression. 241-250 - Mohan Yang, Carlo Zaniolo:
Main memory evaluation of recursive queries on multicore machines. 251-260 - Shigeru Maya, Kai Morino, Kenji Yamanishi
Predicting glaucoma progression using multi-task learning with heterogeneous features. 261-270 - Dong Dai, Yong Chen
Provenance-based object storage prediction scheme for scientific big data applications. 271-280 - Songchang Jin, Jiawei Zhang, Philip S. Yu, Shuqiang Yang, Aiping Li:
Synergistic partitioning in multiple large scale social networks. 281-290 - Alice Marascu, Pascal Pompey, Eric Bouillet, Michael Wurst, Olivier Verscheure, Martin Grund, Philippe Cudré-Mauroux
TRISTAN: Real-time analytics on massive time series using sparse dictionary compression. 291-300 - Hao Li, Di Yu, Anand Kumar, Yi-Cheng Tu:
Performance modeling in CUDA streams - A means for high-throughput data processing. 301-310 - Patrick Leyshock, David Maier, Kristin Tufte:
Minimizing data movement through query transformation. 311-316 - Oyindamola O. Akande, Philip J. Rhodes:
Multilevel partitioning of large unstructured grids. 317-322 - Dongeun Lee, Jaesik Choi
Low complexity sensing for big spatio-temporal data. 323-328 - Jialin Liu, Yin Lu, Yong Chen
In-advance data analytics for reducing time to discovery. 329-334 - Maria Christoforaki, Torsten Suel:
Estimating pairwise distances in large graphs. 335-344 - Anh Thu Vu, Gianmarco De Francisci Morales
Distributed Adaptive Model Rules for mining big data streams. 345-353 - Dorit S. Hochbaum, Philipp Baumann:
Sparse computation for large-scale data mining. 354-363 - Arun S. Maiya, Robert M. Rolfe:
Topic similarity networks: Visual analytics for large document sets. 364-372 - Mayank Daga, Mark Nutter, Mitesh R. Meswani:
Efficient breadth-first search on a heterogeneous processor. 373-382 - Chad A. Steed
Web-based visual analytics for extreme scale climate science. 383-392 - Ryan Compton, David Jurgens, David Allen:
Geotagging one hundred million Twitter accounts with total variation minimization. 393-401 - Ruben Mayer, Boris Koldehofe
Meeting predictable buffer limits in the parallel execution of event processing operators. 402-411 - Xiaomeng Zhao, Huadong Ma, Haitao Zhang, Yi Tang, Guangping Fu:
Metadata extraction and correction for large-scale traffic surveillance videos. 412-420 - Ke Tao, Claudia Hauff, Geert-Jan Houben, Fabian Abel, Guido Wachsmuth:
Facilitating Twitter data analytics: Platform, language and functionality. 421-430 - Masahiko Itoh, Daisaku Yokoyama, Masashi Toyoda, Yoshimitsu Tomita, Satoshi Kawamura, Masaru Kitsuregawa:
Visual fusion of mega-city big data: An application to traffic and tweets data analysis of Metro passengers. 431-440 - Alekh Jindal, Samuel Madden:
GRAPHiQL: A graph intuitive query language for relational databases. 441-450 - Ronak Etemadpour, Paul Murray, Angus Graeme Forbes:
Evaluating density-based motion for big data visual analytics. 451-460 - Ulf Johansson, Cecilia Sönströd, Henrik Linusson, Henrik Boström:
Regression trees for streaming data with local performance guarantees. 461-470 - Pei-Ling Chen, Chung-Kuang Chou
Distributed algorithms for k-truss decomposition. 471-480 - George M. Slota, Kamesh Madduri
PuLP: Scalable multi-objective multi-constraint partitioning for small-world networks. 481-490 - Arash Fard, Satya Manda, Lakshmish Ramaswamy, John A. Miller
Effective caching techniques for accelerating pattern matching queries. 491-499 - Diana Palsetia, Md. Mostofa Ali Patwary, William Hendrix, Ankit Agrawal
Clique guided community detection. 500-509 - Hideyuki Shamoto, Koichi Shirahata, Aleksandr Drozd, Hitoshi Sato, Satoshi Matsuoka:
Large-scale distributed sorting for GPU-based heterogeneous supercomputers. 510-518 - Chieh-Yen Lin, Cheng-Hao Tsai, Ching-Pei Lee
Large-scale logistic regression and linear support vector machines using spark. 519-528 - Keita Iwabuchi, Hitoshi Sato, Yuichiro Yasui, Katsuki Fujisawa
NVM-based Hybrid BFS with memory efficient data structure. 529-538 - Muzaffer Can Altinigneli, Bettina Konte, Dan Rujescir, Christian Böhm, Claudia Plant
Identification of SNP interactions using data-parallel primitives on GPUs. 539-548 - Shan Jiang, ChengXiang Zhai:
Random walks on adjacency graphs for mining lexical relations from big text data. 549-554 - Jonathan Mugan, Ranga Chari, Laura Hitt, Eric McDermid, Marsha Sowell, Yuan Qu, Thayne Coffman:
Entity resolution using inferred relationships and behavior. 555-560 - Rong Gu, Wei Hu, Yihua Huang:
Rainbow: A distributed and hierarchical RDF triple store with dynamic scalability. 561-566 - Hong Yi
In-situ visualization and computational steering for large-scale simulation of turbulent flows in complex geometries. 567-572 - Thibault Debatty, Pietro Michiardi, Olivier Thonnard, Wim Mees:
Building k-nn graphs from large text data. 573-578 - Raju Balakrishnan, Rajesh Parekh:
Learning to predict subject-line opens for large-scale email marketing. 579-584 - Robert S. Pienta, Acar Tamersoy, Hanghang Tong
MAGE: Matching approximate patterns in richly-attributed graphs. 585-590 - Jungkyu Han, Min Luo:
Bootstrapping K-means for big data analysis. 591-596 - Ahsanul Haque, Swarup Chandra, Latifur Khan
Distributed Adaptive Importance Sampling on graphical models using MapReduce. 597-602 - Bo Liu, Erico N. de Souza, Stan Matwin
Knowledge-based clustering of ship trajectories using density-based approach. 603-608 - Ciro Donalek, S. George Djorgovski, Alex Cioc, Anwell Wang, Jerry Zhang, Elizabeth Lawler, Stacy Yeh, Ashish Mahabal, Matthew J. Graham, Andrew J. Drake, Scott Davidoff
Immersive and collaborative data visualization using virtual reality platforms. 609-614 - Lee Parnell Thompson, Weijia Xu, Daniel P. Miranker:
The Adaptive Projection Forest: Using adjustable exclusion and parallelism in metric space indexes. 615-620 - Tony Worm, Kenneth Chiu:
Scaling up Prioritized Grammar Enumeration for scientific discovery in the cloud. 621-626 - Yun Shen, Olivier Thonnard:
MR-TRIAGE: Scalable multi-criteria clustering for big data security intelligence applications. 627-635 - Todd J. Bodnar, Conrad S. Tucker, Kenneth M. Hopkinson, Sven G. Bilén:
Increasing the veracity of event detection on social media networks through user trust modeling. 636-643 - Vladimir Estivill-Castro
Empowering users of social networks to assess their privacy risks. 644-649 - Tahereh Babaie, Sanjay Chawla, Sebastien Ardon, Yue Yu:
A unified approach to network anomaly detection. 650-655 - Zhichuan Huang, Hongyao Luo, David Skoda, Ting Zhu, Yu Gu:
E-Sketch: Gathering large-scale energy consumption data based on consumption patterns. 656-665 - Lee Kellogg, Brian E. Ruttenberg, Alison O'Connor, Michael Howard, Avi Pfeffer:
Hierarchical management of large-scale malware data. 666-674 - Sotiris K. Tasoulis, Lu Cheng
Random projection based clustering for population genomics. 675-682 - Daniela Ushizima, Talita Perciano
Structure recognition from high resolution images of ceramic composites. 683-691 - Sufeng Niu, Guangyu Yang, Nilim Sarma, Pengfei Xuan, Melissa C. Smith, Pradip K. Srimani, Feng Luo:
Combining Hadoop and GPU to preprocess large Affymetrix microarray data. 692-700 - Wenrong Zeng, Yuhao Yang, Bo Luo
Content-Based Access Control: Use data content to assist access control for large-scale content-centric databases. 701-710 - Yu Zhang, Stephen Wistar, Jose A. Piedra-Fernández
Locating visual storm signatures from satellite images. 711-720 - Marc Frîncu, Charalampos Chelmis
Accurate and efficient selection of the best consumption prediction method in smart grids. 721-729 - Andrew Todd, William T. Scherer, Peter A. Beling, Mark E. Paddrik, Richard Haynes:
Visualizations for sense-making in financial market regulation. 730-735 - Mathias Johanson, Stanislav Belenki, Jonas Jalminger, Magnus Fant, Mats Gjertz:
Big Automotive Data: Leveraging large volumes of data for knowledge-driven product development. 736-741 - Yufei Han, Xiaolan Sha, Etta Grover-Silva, Pietro Michiardi:
On the impact of socio-economic factors on power load forecasting. 742-747 - Jong Hoon Ahnn:
Toward personalized and scalable voice-enabled services powered by big data. 748-753 - Guo-Qiang Zhang
MaPLE: A MapReduce Pipeline for Lattice-based Evaluation and its application to SNOMED CT. 754-759 - Bun Theang Ong, Komei Sugiura, Koji Zettsu:
Dynamic pre-training of Deep Recurrent Neural Networks for predicting environmental monitoring data. 760-765 - José Manuel Abuín
Perldoop: Efficient execution of Perl scripts on Hadoop clusters. 766-771 - Dean N. Williams, Giri Palanisamy, Galen M. Shipman, Thomas A. Boden, Jimmy W. Voyles:
Department of energy strategic roadmap for Earth system science data integration. 772-777 - Daniel Fried, Mihai Surdeanu, Stephen G. Kobourov
Analyzing the language of food on social media. 778-783 - Wei-Chun Chung, Yu-Jung Chang, D. T. Lee, Jan-Ming Ho:
Using geometric structures to improve the error correction algorithm of high-throughput sequencing data on MapReduce framework. 784-789 - Maryam Panahiazar, Vahid Taslimi, Ashutosh Jadhav, Jyotishman Pathak:
Empowering personalized medicine with big data and semantic web technology: Promises, challenges, and use cases. 790-795 - Amit Gupta, Weijia Xu, Kenneth Perrine, Dennis Bell, Natalia Ruiz-Juri:
On scaling time dependent shortest path computations for Dynamic Traffic Assignment. 796-801 - Tao Zhong, Kshitij A. Doshi, Gang Deng, Xiaoming Yang, Hegao Zhang:
High volume geospatial mapping for internet-of-vehicle solutions with in-memory map-reduce processing. 802-807 - Khalifeh AlJadda, Mohammed Korayem, Trey Grainger, Chris Russell:
Crowdsourced query augmentation through semantic discovery of domain-specific jargon. 808-815 - Peter Bajcsy
Spatial computations over terabyte-sized images on hadoop platforms. 816-824 - Praveen Bommannavar, Alek Kolcz, Anand Rajaraman:
Recall estimation for rare topic retrieval from large corpuses. 825-834 - Vinay Deolalikar, Kave Eshghi:
Lightweight approximate top-k for distributed settings. 835-844 - Vinay Deolalikar:
Query revision during cluster based search on large unstructured corpora. 845-853 - Chaitali Gupta, Mayank Bansal, Tzu-Cheng Chuang, Ranjan Sinha, Sami Ben-Romdhane:
Astro: A predictive model for anomaly detection and feedback-based scheduling on Hadoop. 854-862 - Eric Huang, Andres Quiroz, Luca Ceriani:
Automating data integration with HiperFuse. 863-867 - Jayasimha Katukuri, Tolga Könik, Rajyashree Mukherjee, Santanu Kolay:
Recommending similar items in large-scale online marketplaces. 868-876 - Dhaval C. Lunagariya, Durvasula V. L. N. Somayajulu, P. Radha Krishna:
SE-CDA: A scalable and efficient community detection algorithm. 877-882 - Rohan Malcolm, Cherrelle Morrison, Tyrone Grandison
Increasing the accessibility to Big Data systems via a common services API. 883-892 - Sathyan Munirathinam, Balakrishnan Ramadoss
Big data predictive analtyics for proactive semiconductor equipment maintenance. 893-902 - Celeste Lyn Paul, Chris Argenta, William C. Elm, Alex Endert:
Future directions of humans in Big Data Research: Summary of the 1st workshop on Human-Centered Big Data Research. 903-904 - Nicolás Poggi, David Carrera
ALOJA: A systematic study of Hadoop deployment variables to enable automated characterization of cost-effectiveness. 905-913 - François Schnitzler, Thomas Liebig
Heterogeneous stream processing for disaster detection and alarming. 914-923 - Yongli Tang, Tingting He, Bo Li, Xiaohua Hu:
Identifying top Chinese network buzzwords from social media big data set based on time-distribution features. 924-931 - Jenny Weisenberg Williams, Kareem S. Aggour
Bridging high velocity and high volume industrial big data through distributed in-memory storage & analytics. 932-941 - Yinglong Xia, Ilie Gabriel Tanase, Lifeng Nai, Wei Tan, Yanbin Liu, Jason Crawford, Ching-Yung Lin:
Graph analytics and storage. 942-951 - Jiang Zheng, Aldo Dagnino:
An initial study of predictive machine learning analytics on large volumes of historical data for power system applications. 952-959 - Rui Zhang, Dean Hildebrand, Renu Tewari:
In unity there is strength: Showcasing a unified big data platform with MapReduce Over both object and file storage. 960-966 - Alexander Brodsky, Mohan Krishnamoorthy, Daniel A. Menascé, Guodong Shao, Sudarsan Rachuri
Toward smart manufacturing using decision analytics. 967-977 - Raunak Bhinge, Nishant Biswas, David Dornfeld, Jinkyoo Park, Kincho H. Law, Moneer Helu
An intelligent machine monitoring system for energy prediction using a Gaussian Process regression. 978-986 - David Lechevalier, Anantha Narayanan, Sudarsan Rachuri
Towards a domain-specific framework for predictive analytics in manufacturing. 987-995 - Saideep Nannapaneni, Sankaran Mahadevan:
Uncertainty quantification in performance evaluation of manufacturing processes. 996-1005 - Soheil Qanbari, Samira Mahdi Zadeh, Soroush Vedaei, Schahram Dustdar
CloudMan: A platform for portable cloud manufacturing services. 1006-1014 - Utpal Roy, Yunpeng Li, Bicheng Zhu:
Building a rigorous foundation for performance assurance assessment techniques for "smart" manufacturing systems. 1015-1023 - Hanna Yang, Minjeong Park, Minsu Cho
A system architecture for manufacturing process analysis based on big data and process mining techniques. 1024-1029 - Elizabeth Boschee, Marjorie Freedman, Saurabh Khanwalkar, Anoop Kumar, Amit Srivastava, Ralph M. Weischedel:
Researching persons & organizations: AWAKE: From text to an entity-centric knowledge base. 1030-1039 - Newres Al Haider, Samina Raza Abidi
Integrating existing large scale medical laboratory data into the semantic web framework. 1040-1048 - Chen Liu, Wesley W. Chu, Fred W. Sabb, Douglas Stott Parker, Joseph Korpela:
Path knowledge discovery: Association mining based on multi-category lexicons. 1049-1059 - Tsau-Young Lin, Asmi H. Shah:
Stochastic Finite Automata for the translation of DNA to protein. 1060-1067 - Asmi H. Shah, Gayathri Gopalakrishnan, Adithya Rajendran, Urban Liebel:
Data mining and sharing tool for high content screening large scale biological image data. 1068-1076 - Georgios Stavropoulos, Stelios Krinidis
A building performance evaluation & visualization system. 1077-1085 - Mohiuddin Solaimani, Mohammed Iftekhar, Latifur Khan
Statistical technique for online anomaly detection using Spark over heterogeneous data from multi-source VMware performance data. 1086-1094 - Om Prasad Patri, Abhishek B. Sharma, Haifeng Chen, Guofei Jiang, Anand V. Panangadan, Viktor K. Prasanna:
Extracting discriminative shapelets from heterogeneous sensor data. 1095-1104 - Jinseok Kim
Why name ambiguity resolution matters for scholarly big data research. 1-6 - Gaurav Madaan, Shivakumar Jolad
Evolution of scientific collaboration networks. 7-13 - Tom Narock
The OceanLink project. 14-21 - Michael E. Payne, Linh Bao Ngo, Flavio Villanustre
Managing the academic data lifecycle: A case study of HPCC. 22-30 - Jong Hoon Ahnn:
Scalable big data computing for the personalization of machine learned models and its application to automatic speech recognition service. 1-8 - Hasan Asfoor, Rajagopalan Srinivasan, Gayathri Vasudevan, Nele Verbiest, Chris Cornelis, Matthew E. Tolentino, Ankur Teredesai, Martine De Cock
Computing fuzzy rough approximations in large scale information systems. 9-16 - B. Chandra, Rajesh Kumar Sharma:
Fast learning for big data applications using parameterized multilayer perceptron. 17-22 - Andrew Phelps Cassidy, Frank A. Deviney:
Calculating feature importance in data streams with concept drift using Online Random Forest. 23-28 - Yiqi Chen, Zhiyuan Lin
Towards scalable graph computation on mobile devices. 29-35 - Roberto D'Ambrosio, Wafa Belhajali, Michel Barlaud:
Boosting Stochastic Newton Descent for Bigdata large scale classification. 36-41 - Vinay Deolalikar:
Feature selection for text clustering in limited memory using Monte Carlo wrapper. 42-49 - Cailing Dong, Arvind Agarwal:
WS2F: A weakly supervised framework for data stream filtering. 50-57 - Yifang Jiang, Diao Zhang, Kai Chen, Qu Zhou, Yi Zhou, Jianhua He
An improved memory management scheme for large scale graph computing engine GraphChi. 58-63 - Ujjal Kumar Mukherjee, Snigdhansu Chatterjee
Fast algorithm for computing weighted projection quantiles and data depth for high-dimensional large data clouds. 64-71 - Tanay Kumar Saha
FS3: A sampling based method for top-k frequent subgraph mining. 72-79 - Mohammad Amir Sharif, Vijay V. Raghavan:
A clustering based scalable hybrid approach for web page recommendation. 80-87 - Eric Sibony, Stéphan Clémençon, Jérémie Jakubowicz:
Multiresolution analysis of incomplete rankings with applications to prediction. 88-95 - Xiaoli Song, Yue Shang, Yuan Ling, Mengwen Liu, Xiaohua Hu:
Pairwise Topic Model via relation extraction. 96-103 - Xiaoguang Wang, Xuan Liu, Stan Matwin
A multi-view two-level classification method for generalized multi-instance problems. 104-111 - Xiaoguang Wang, Xuan Liu, Stan Matwin
Applying instance-weighted support vector machines to class imbalanced datasets. 112-118 - Amlan Chatterjee, Sridhar Radhakrishnan, Chandra N. Sekharan:
Connecting the dots: Triangle completion and related problems on large data sets using GPUs. 1-8 - Naga Shailaja Dasari, Desh Ranjan, Mohammad Zubair:
ParK: An efficient algorithm for k-core decomposition on multicore processors. 9-16 - William Eberle, Lawrence B. Holder:
A partitioning approach to scaling anomaly detection in graph streams. 17-24 - Ghizlane Echbarthi, Hamamache Kheddouci:
Fractional greedy and partial restreaming partitioning: New methods for massive graph partitioning. 25-32 - S. M. Faisal, Srinivasan Parthasarathy
Global graphs: A middleware for large scale graph processing. 33-40 - Ronald D. Hagan, Charles A. Phillips, Kai Wang, Gary L. Rogers, Michael A. Langston:
Toward an efficient, highly scalable maximum clique solver for massive graphs. 41-45 - David Mizell, Kristyn J. Maschhoff, Steven P. Reinhardt:
Extending SPARQL with graph functions. 46-53 - Josephine M. Namayanja, Vandana Pursnani Janeja:
Change detection in temporally evolving computer networks: A big data framework. 54-61 - Christian Staudt, Yassine Marrakchi, Henning Meyerhenke
Detecting communities around seed nodes in complex networks. 62-69 - Ichitaro Yamazaki, Théo Mary
Access-averse framework for computing low-rank matrix approximations. 70-77 - Angen Zheng, Alexandros Labrinidis, Panos K. Chrysanthis
Architecture-aware graph repartitioning for data-intensive scientific computing. 78-85 - Jun Chen, Hui Li, Hanxu Hou, Bing Zhu, Tai Zhou, Lijia Lu, Yumeng Zhang:
A new Zigzag MDS code with optimal encoding and efficient decoding. 1-6 - Son Hoang Dau
Parity declustering for fault-tolerant storage systems via t-designs. 7-14 - Seungmin Kang, Bharadwaj Veeravalli, Khin Mi Mi Aung
An efficient scheme to ensure data availability for a cloud service provider. 15-20 - Chao Tian:
A C library of repair-efficient erasure codes for distributed data storage systems. 21-26 - Hao Wang, Haopeng Chen, Fei Hu:
ReCT: Improving MapReduce performance under failures with resilient checkpointing tactics. 27-32 - Tai Zhou, Hui Li, Bing Zhu, Yumeng Zhang, Hanxu Hou, Jun Chen:
STORE: Data recovery with approximate minimum network bandwidth and disk I/O in distributed storage systems. 33-38 - Yasser Jafer, Stan Matwin
Privacy-aware filter-based feature selection. 1-5 - Renata Jordao, Valério Aymoré Martins, Fábio Buiati, Rafael Timóteo de Sousa Júnior
Secure data storage in distributed cloud environments. 6-12 - Takao Murakami, Hajime Watanabe:
Location prediction attacks using tensor factorization and optimal defenses. 13-21 - Pavan Kumar, Chintalapati Janaki, N. Neeharika, Payal Saluja
Information gateway for integrated pharmacogenomics data- IGIPD. 1-9 - Tarek Abdunabi, Otman Basir
Predicting a biological response of molecules from their chemical properties using diverse and optimized ensembles of stochastic gradient boosting machine. 10-17 - Jesus J. Caban, Gerard Riedy, Terrence R. Oakes, Geoff Grammer, Thomas DeGraba:
Understanding the effects of concussion using big data. 18-23 - Shao-Hua Cheng, Yu-Shian Chiu, Shih-Yao Dai, Hui-I Hsiao:
Duplicate drug discovery using Hadoop. 24-26 - Cindy Fähnrich, Matthieu-P. Schapranow
Towards integrating the detection of genetic variants into an in-memory database. 27-32 - Kavita Ganesan, Michael Subotin:
A general supervised approach to segmentation of clinical texts. 33-40 - Shamim Nemati, Mohammad M. Ghassemi:
A fast and memory-efficient algorithm for learning and retrieval of phenotypic dynamics in multivariate cohort time series. 41-44 - Ruchie Bhardwaj, Adhiraaj Sethi, Raghunath Nambiar:
Big data in genomics: An overview. 45-49 - Mallory Bounds Sheth, Abdullah Chahin, Roger Mark, Natasha Markuzon:
Protective effects of rheumatoid arthritis in septic ICU patients. 50-55 - Wei Tang, Jared Bischof, Narayan Desai, Kanak Mahadik, Wolfgang Gerlach, Travis Harrison, Andreas Wilke, Folker Meyer:
Workload characterization for MG-RAST metagenomic data analytics service in the cloud. 56-63 - Rosanne Vetro, Roshanak Farhoodi, Rohith Kotla, Nurit Haspel, David Weisman, Jennifer Rosen, Dan A. Simovici:
TIDE: Inter-chromosomal translocation and insertion detection using embeddings. 64-70 - Hang Wu, Ji-Jiang Yang, Jianqiang Li:
Low redundancy feature selection with grouped variables and its application to healthcare data. 71-76 - Qian Zhu
Pharmacological class data representation in the Web Ontology Language (OWL). 77-84 - Berkay Aydin
Spatiotemporal indexing techniques for efficiently mining spatiotemporal co-occurrence patterns. 1-10 - Juan M. Banda
Scalable solar image Retrieval with Lucene. 11-17 - Karl Battams
Stream mining for solar physics: Applications and implications for big solar data. 18-26 - Simon Felix
A computer vision approach to mining big solar data. 27-35 - Dustin Kempton
Iterative refinement of multiple targets tracking of solar events. 36-44 - Kevin P. Reardon, Steve Berukoff
Improved data exploitation for DKIST high-resolution solar observations. 45-52 - Michael A. Schuh, Rafal A. Angryk
Massive labeled solar image data benchmarks for automated feature recognition. 53-60 - Farideddin Peiravian
Spatial data analysis of complex urban systems. 1-6 - Sabrina Azzi
Human activity recognition in big data smart home context. 1-8 - Hilary Cheng, Yi-Chuan Lu, Chih-Cheng Hsu:
A visualized data analysis for bogus business entity detection. 9-15 - Julian Krumeich, Dirk Werth, Peter Loos, Jens Schimmelpfennig, Sven Jacobi:
Advanced planning and control of manufacturing processes in steel industry through big data analytics: Case study and architecture proposal. 16-24 - Wuheng Luo, Bo Liu, Allie K. Watfa:
An open schema for XML data in Hive. 25-31 - Guangchen Ruan, Hui Zhang, Beth Plale
Parallel and quantitative sequential pattern mining for large-scale interval-based temporal data. 32-39 - Greg Sand, Leonidas Tsitouras, George Dimitrakopoulos, Vasilis Chatzigiannakis:
A big data aggregation, analysis and exploitation integrated platform for increasing social management intelligence. 40-47 - Jennifer Shin:
Investigating the accuracy of the openFDA API using the FDA Adverse Event Reporting System (FAERS). 48-53 - Yongen Yu, Wei Tang, Hongbo Zou, Liwei Liu:
A CCG virtual system for big data application communication costs analysis. 54-60 - Jian Zou, Hui Zhang:
High-frequency financial statistics with parallel R and Intel Xeon Phi coprocessor. 61-69 - Eric S. Chan, Dieter Gawlick, Adel Ghoneimy, Zhen Hua Liu:
Situation aware computing for big data. 1-6 - Shanika Karunasekera
Topic-specific post identification in microblog streams. 7-13 - Fano Ramparany, Fermín Galán Márquez, Javier Soriano
Handling smart environment devices, data and services at the semantic level with the FI-WARE core platform. 14-20 - Rajesh Vargheese, Hazim Dahir:
An IoT/IoE enabled architecture framework for precision on shelf availability: Enhancing proactive shopper experience. 21-26 - Magnus Boman, Daniel Gillblad
Learning machines for computational epidemiology. 1-5 - Gloria J. Kang
Epidemiological modeling of bovine brucellosis in India. 6-10 - Yiheng Liang, Armin R. Mikler:
Big data problems on discovering and analyzing causal relationships in epidemiological data. 11-18 - Daphne Lopez
Spatial big data analytics of influenza epidemic in Vellore, India. 19-24 - Offei Adarkwa, Thomas Schumacher, Nii O. Attoh-Okine:
Multiway Analysis of bridge structural types in the National Bridge Inventory (NBI): A tensor decomposition approach. 1-6 - Nii O. Attoh-Okine:
Big data challenges in railway engineering. 7-9 - Xing-Yu Chen, Hsing-Kuo Pao, Yuh-Jye Lee
Efficient traffic speed forecasting based on massive heterogenous historical data. 10-17 - Vinay Deolalikar:
Topological models of document-query sets in retrieval for Enterprise Information Management. 18-23 - Christian Kiss-Toth, Gábor Takács:
A dynamic programming approach for 4D flight route optimization. 24-28 - Amirhassan Kermanshah, Alireza Karduni
Impact analysis of extreme events on flows in spatial networks. 29-34 - Christopher Morris, John M. Easton
Applications of linked data in the rail domain. 35-41 - Silvia Galvan Nunez, Nii O. Attoh-Okine:
Metaheuristics in big data: An approach to railway engineering. 42-47 - Alfredo Núñez
Facilitating maintenance decisions on the Dutch railways using big data: The ABA case study. 48-53 - Farideddin Peiravian
Spatial data analysis of complex urban systems. 54-59 - Matija Radovic, Jennifer McConnell:
Evaluating structural engineering finite element analysis data using multiway analysis. 60-67 - Hidefumi Sawai, Aki-Hiro Sato
Multi-objective optimization for resilient airline networks using socioeconomic-environmental data. 68-77 - Gábor Takács:
Predicting flight arrival times with a multistage model. 78-84 - Jonathan Tutcher:
Ontology-driven data integration for railway asset monitoring applications. 85-95 - Allan M. Zarembski:
Some examples of big data in railroad engineering. 96-102 - Filipe Araújo
Taking an electronic ticketing system to the cloud: Design and discussion. 1-10 - Shouvik Bardhan, Daniel A. Menascé:
A contention aware hybrid evaluator for schedulers of big data applications in computer clusters. 11-19 - Vassilis Kolias, Constantinos Kolias, Ioannis Anagnostopoulos, Eleftherios Kayafas:
RuleMR: Classification rule discovery with MapReduce. 20-28 - Nico Kruber, Florian Schintke, Michael Berlin:
A relational database schema on the transactional key-value store scalaris. 29-37 - Michael P. McGuire
Community structure analysis in big climate data. 38-46 - Zubair Nabi, Rohit Wagle, Eric Bouillet:
The best of two worlds: Integrating IBM InfoSphere Streams with Apache YARN. 47-51 - Tsunghan Wu, Sheau-Harn Yu, Wanjiun Liao
Temporal bipartite projection and link prediction for online social networks. 52-59 - Sarah Atkinson
The Deep Film Access Project: Ontology and metadata design for digital film production assets. 1-4 - Peter Baskerville, Lisa Y. Dillon, Kris Inwood
Mining microdata: Economic opportunity and spatial mobility in Britain and the United States, 1850-1881. 5-13 - Tobias Blanke
Mining mobile youth cultures. 14-17 - Frank Bosco, Krista Uggerslev, Piers Steel
Scientific findings as big data for research synthesis: The metaBUS project. 18-22 - Marco Büchler, Greta Franzini
Scaling historical text re-use. 23-31 - Owen Conlan
Revolutionary entities: Turning data into knowledge to drive personalized exploration of The irish rising of 1916. 32-38 - E. Thomas Ewing, Samah Gad, Naren Ramakrishnan
Understanding the role of medical experts during a public health crisis digital tools and library resources for research on the 1918 Spanish influenza. 39-46 - Richard Gartner:
A metadata infrastructure for the analysis of parliamentary proceedings. 47-50 - Eric Hoyt, Kit Hughes, Derek Long, Anthony Tran, Kevin Ponto:
Scaled Entity Search: A method for media historiography and response to critiques of big humanities data research. 51-59 - Thomas Lansdall-Welfare
On the coverage of science in the media: A big data study on the impact of the Fukushima disaster. 60-66 - Ray R. Larson, Richard Marciano
Integrating Data Mining and Data Management Technologies for Scholarly Inquiry. 67-71 - Lev Manovich, Alise Tifentale
The exceptional and the everyday: 144 Hours in Kiev. 72-79 - C. J. Rupp, Paul Rayson
Dealing with heterogeneous big data when geoparsing historical corpora. 80-83 - Muhammed Asif Saleem, Blesson Varghese, Adam Barker:
BigExcel: A web-based framework for exploring big data in social sciences. 84-91 - Xin Wang, Ang Sun, Hakan Kardes, Siddharth Agrawal, Lin Chen, Andrew Borthwick:
Probabilistic estimates of attribute statistics and match likelihood for people entity resolution. 92-99 - Alex C. Williams, John F. Wallin, Haoyu Yu, Marco Perale
A computational pipeline for crowdsourced transcriptions of Ancient Greek papyrus fragments. 100-105 - Philippe Calvez, Eddie Soulier:
"Sustainable assemblage for energy (SAE)" inside intelligent urban areas: How massive heterogeneous data could help to reduce energy footprints and promote sustainable practices and an ecological transition. 1-8 - Erin-Elizabeth A. Durham, Andrew Rosen, Robert W. Harrison
A model architecture for Big Data applications using relational databases. 9-16 - Eric L. Goodman, Edward Jimenez, Cliff A. Joslyn
Optimizing graph queries with graph joins and Sprinkle SPARQL. 17-24 - Xiaoguang Wang, Xuan Liu, Bo Liu, Erico N. de Souza, Stan Matwin
Vessel route anomaly detection with Hadoop MapReduce. 25-30 - Jiazhen Nian, Shan Jiang, Yan Zhang:
HBGSim: A structural similarity measurement over heterogeneous big graphs. 31-38 - Walid Shalaby
Knowledge based dimensionality reduction for technical text mining. 39-44 - Xiaoguang Wang, Xuan Liu, Stan Matwin
A distributed instance-weighted SVM algorithm on large-scale imbalanced datasets. 45-51 - Rajeev Agrawal, Ashiq Imran, Cameron Seay, Jessie J. Walker
A layer based architecture for provenance in big data. 1-7 - Joan L. Aron, Brand Niemann:
Sharing best practices for the implementation of Big Data applications in government and science communities. 8-10 - Nancy W. Grady, Mark A. Underwood, Arnab Roy, Wo L. Chang:
Big Data: Challenges, practices and technologies: NIST Big Data Public Working Group workshop at IEEE Big Data 2014. 11-15 - H. Howie Huang
Big data machine learning and graph analytics: Current state and future challenges. 16-17 - Raghunath Nambiar:
A standard for benchmarking big data systems. 18-20 - Saima Aman, Charalampos Chelmis
Addressing data veracity in big data applications. 1-3 - Julien Amelot, Peter Bajcsy, Anne L. Plant, Mary Brady:
Machine learning and interactive visualization applied to TB-sized images of stem cells. 4 - Gaël Chareyron
Big data: A new challenge for tourism. 5-7 - Ranjeet Devarakonda
OME: Tool for generating and managing metadata to handle BigData. 8-10 - Andy Doyle, Graham Katz, Kristen Maria Summers, Chris Ackermann, Ilya Zavorin, Zunsik Lim, Sathappan Muthiah, Liang Zhao, Chang-Tien Lu
The EMBERS architecture for streaming predictive analytics. 11-13 - Chinua Umoja, J. T. Torrance, Erin-Elizabeth A. Durham, Andrew Rosen, Robert W. Harrison
A novel approach to determine docking locations using fuzzy logic and shape determination. 14-16 - Roberto Espinosa
Linked Open Data mining for democratization of big data. 17-19 - Niall Gaffney, Christopher Jordan, Tommy Minyard, Dan Stanzione:
Building Wrangler: A transformational data intensive resource for the open science community. 20-22 - Ioannis Giannakopoulos, Nikolaos Papailiou, Christos Mantas, Ioannis Konstantinou, Dimitrios Tsoumakos, Nectarios Koziris:
CELAR: Automated application elasticity platform. 23-25 - Thomas Hassan, Rafael Peixoto, Christophe Cruz
Semantic HMC for big data analysis. 26-28 - Ashiq Imran, Rajeev Agrawal, Jessie J. Walker
A layer based architecture for provenance in big data. 29-31 - Vandana Pursnani Janeja, Ali Azari, Josephine M. Namayanja, Brian Heilig:
B-dids: Mining anomalies in a Big-distributed Intrusion Detection System. 32-34 - Fan Jiang, Michael Shoffner, Claris Castillo, Charles Schmitt
Enabling genomic analysis on federated clouds. 35-37 - Anirudh Kadadi, Rajeev Agrawal, Christopher Nyamful, Rahman Atiq:
Challenges of data integration and interoperability in big data. 38-40 - Madian Khabsa, Pucktada Treeratpituk, C. Lee Giles
Large scale author name disambiguation in digital libraries. 41-42 - Akira Kinoshita, Atsuhiro Takasu, Jun Adachi:
Real-time traffic incident detection using probe-car data on the Tokyo Metropolitan Expressway. - Nick Manfredi, Darakhshan J. Mir, Shannon Lu, Dominick Sanchez:
Differentially private models of tollgate usage: The Milan tollgate data set. 46-48 - Ioannis Mytilinis, Ioannis Giannakopoulos, Ioannis Konstantinou, Katerina Doka, Nectarios Koziris:
MoDisSENSE: A distributed platform for social networking services over mobile devices. 49-51 - Syunya Okuno, Hiroki Asai, Hayato Yamana
A challenge of authorship identification for ten-thousand-scale microblog users. 52-54 - Thomas Raimbault, Gaël Chareyron
Cognitive map of tourist behavior based on Tripadvisor. 55-57 - Tugdual Sarazin, Mustapha Lebbah, Hanane Azzag:
Biclustering using Spark-MapReduce. 58-60 - Zubair Shah
A summarization paradigm for big data. 61-63 - Biva Shrestha, Ranjeet Devarakonda
An open source framework to add spatial extent and geospatial visibility to Big Data. 64-66 - Jose Teixeira:
Developing a cloud computing platform for Big Data: The OpenStack Nova case. 67-69 - Robert Warren, Bo Liu:
Language, cultural influences and intelligence in historical gazetteers of the Great War. 70-72 - Joshua A. Westgard:
The Bot will serve you now: Automating access to archival materials. 73-74 - Jin Soung Yoo, Douglas Boulware:
Incremental and parallel spatial association mining. 75-76 - Haozhen Zhao:
Sharding for literature search via cutting citation graphs. 77-79 - Bing Zhu, Hui Li, Kenneth W. Shum:
Repair efficient storage codes via combinatorial configurations. 80-81
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