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IEEE Transactions on Big Data, Volume 2
Volume 2, Number 1, March 2016
- Yu-Ru Lin, Hanghang Tong, Jie Tang, K. Selçuk Candan:
Guest Editorial: Big Scholar Data Discovery and Collaboration. 1-2 - Suppawong Tuarob, Sumit Bhatia, Prasenjit Mitra, C. Lee Giles:
AlgorithmSeer: A System for Extracting and Searching for Algorithms in Scholarly Big Data. 3-17 - Yuxiao Dong, Reid A. Johnson, Nitesh V. Chawla:
Can Scientific Impact Be Predicted? 18-30 - Jingdong Wang, Guo-Jun Qi, Nicu Sebe, Charu C. Aggarwal:
Guest Editorial: Big Media Data: Understanding, Search, and Mining. 31 - Yu-Gang Jiang, Jiajun Wang:
Partial Copy Detection in Videos: A Benchmark and an Evaluation of Popular Methods. 32-42 - Shuhui Jiang, Xueming Qian, Tao Mei, Yun Fu:
Personalized Travel Sequence Recommendation on Multi-Source Big Social Media. 43-56 - Hideyuki Shamoto, Koichi Shirahata, Aleksandr Drozd, Hitoshi Sato, Satoshi Matsuoka:
GPU-Accelerated Large-Scale Distributed Sorting Coping with Device Memory Capacity. 57-69 - Xinyu Wang, Zhou Zhao, Wilfred Ng:
USTF: A Unified System of Team Formation. 70-84 - Masahiko Itoh, Daisaku Yokoyama, Masashi Toyoda, Yoshimitsu Tomita, Satoshi Kawamura, Masaru Kitsuregawa:
Visual Exploration of Changes in Passenger Flows and Tweets on Mega-City Metro Network. 85-99
Volume 2, Number 2, June 2016
- Yu-Ru Lin, Hanghang Tong, Jie Tang, K. Selçuk Candan:
Guest Editorial: Special Issue on Big Scholar Data Discovery and Collaboration (Continued). 100 - Feng Xia, Haifeng Liu, Ivan Lee, Longbing Cao:
Scientific Article Recommendation: Exploiting Common Author Relations and Historical Preferences. 101-112 - Jevin D. West, Ian Wesley-Smith, Carl T. Bergstrom:
A Recommendation System Based on Hierarchical Clustering of an Article-Level Citation Network. 113-123 - Subhajit Datta, Santonu Sarkar, A. S. M. Sajeev:
How Long Will This Live? Discovering the Lifespans of Software Engineering Ideas. 124-137 - Zheng Yan, Wenxiu Ding, Xixun Yu, Haiqi Zhu, Robert H. Deng:
Deduplication on Encrypted Big Data in Cloud. 138-150 - Dorit S. Hochbaum, Philipp Baumann:
Sparse Computation for Large-Scale Data Mining. 151-174 - Farhan Khan, Dariush Kari, Ilyas Alper Karatepe, Suleyman Serdar Kozat:
Universal Nonlinear Regression on High Dimensional Data Using Adaptive Hierarchical Trees. 175-188
Volume 2, Number 3, September 2016
- Michael Sheng, Athanasios V. Vasilakos, Qi Yu, Lina You:
Guest Editorial: Big Data Analytics and the Web. 189 - Wei Shao, Flora D. Salim, Andy Song, Athman Bouguettaya:
Clustering Big Spatiotemporal-Interval Data. 190-203 - Yue Zhao, Kenji Yoshigoe, Jiang Bian, Mengjun Xie, Zhe Xue, Yong Feng:
A Distributed Graph-Parallel Computing System with Lightweight Communication Overhead. 204-218 - Liang Wang, Sotiris K. Tasoulis, Teemu Roos, Jussi Kangasharju:
Kvasir: Scalable Provision of Semantically Relevant Web Content on Big Data Framework. 219-233 - Hong-Mei Chen, Rick Kazman, Serge Haziyev:
Agile Big Data Analytics for Web-Based Systems: An Architecture-Centric Approach. 234-248 - Erte Pan, Dan Wang, Zhu Han:
Analyzing Big Smart Metering Data Towards Differentiated User Services: A Sublinear Approach. 249-261 - Lingfei Wu, K. John Wu, Alex Sim, Michael Churchill, Jong Youl Choi, Andreas Stathopoulos, Choong-Seock Chang, Scott Klasky:
Towards Real-Time Detection and Tracking of Spatio-Temporal Features: Blob-Filaments in Fusion Plasma. 262-275 - Yixian Zheng, Wenchao Wu, Yuanzhe Chen, Huamin Qu, Lionel M. Ni:
Visual Analytics in Urban Computing: An Overview. 276-296
Volume 2, Number 4, December 2016
- Le Dong, Zhiyu Lin, Yan Liang, Ling He, Ning Zhang, Qi Chen, Xiaochun Cao, Ebroul Izquierdo:
A Hierarchical Distributed Processing Framework for Big Image Data. 297-309 - Pablo Basanta-Val, Neil C. Audsley, Andy J. Wellings, Ian Gray, Norberto Fernández García:
Architecting Time-Critical Big-Data Systems. 310-324 - Dmitry Kit, Yu Kong, Yun Fu:
Efficient Image Geotagging Using Large Databases. 325-338 - Neha Bharill, Aruna Tiwari, Aayushi Malviya:
Fuzzy Based Scalable Clustering Algorithms for Handling Big Data Using Apache Spark. 339-352 - Teng Li, Jian Tang, Jielong Xu:
Performance Modeling and Predictive Scheduling for Distributed Stream Data Processing. 353-364 - Ming Shao, Xindong Wu, Yun Fu:
Scalable Nearest Neighbor Sparse Graph Approximation by Exploiting Graph Structure. 365-380 - Seyed Morteza Nabavinejad, Maziar Goudarzi, Shirin Mozaffari:
The Memory Challenge in Reduce Phase of MapReduce Applications. 380-386
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