Abstract is missing.
- Unexpected challenges in large scale machine learningCharles Parker. 1-6 [doi]
- Big data, big business: bridging the gapVivekanand Gopalkrishnan, David M. Steier, Harvey Lewis, James Guszcza. 7-11 [doi]
- CluChunk: clustering large scale user-generated content incorporating chunklet informationYu Cheng, Yusheng Xie, Kunpeng Zhang, Ankit Agrawal, Alok N. Choudhary. 12-19 [doi]
- Parallel rough set based knowledge acquisition using MapReduce from big dataJunbo Zhang, Tianrui Li, Yi Pan. 20-27 [doi]
- Delta-SimRank computing on MapReduceLiangliang Cao, Brian Cho, Hyun Duk Kim, Zhen Li, Min-Hsuan Tsai, Indranil Gupta. 28-35 [doi]
- Incrementally optimized decision tree for noisy big dataHang Yang, Simon Fong. 36-44 [doi]
- Compression-aware I/O performance analysis for big data clusteringZhenghua Xue, Geng Shen, Jianhui Li, Qian Xu, Yang Zhang, Jing Shao. 45-52 [doi]
- Space-efficient sampling from social activity streamsNesreen K. Ahmed, Jennifer Neville, Ramana Rao Kompella. 53-60 [doi]
- A parallel graph partitioning algorithm to speed up the large-scale distributed graph miningZengfeng Zeng, Bin Wu, Haoyu Wang. 61-68 [doi]
- A density-based clustering structure mining algorithm for data streamsHuan Wang, Yanwei Yu, Qin Wang, Yadong Wan. 69-76 [doi]
- Subscriber classification within telecom networks utilizing big data technologies and machine learningJonathan Magnusson, Tor Kvernvik. 77-84 [doi]
- Accelerating minor allele frequency computation with graphics processorsMian Lu, Jiuxin Zhao, Qiong Luo, Bingqiang Wang. 85-92 [doi]
- Online feature selection for mining big dataSteven C. H. Hoi, Jialei Wang, Peilin Zhao, Rong Jin. 93-100 [doi]
- Accelerating Bayesian network parameter learning using Hadoop and MapReduceAniruddha Basak, Irina Brinster, Xianheng Ma, Ole J. Mengshoel. 101-108 [doi]
- Stream-dashboard: a framework for mining, tracking and validating clusters in a data streamBasheer Hawwash, Olfa Nasraoui. 109-117 [doi]
- A kernel fused perceptron for the online classification of large-scale dataHuijun He, Mingmin Chi, Wenqiang Zhang. 118-124 [doi]