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ORCID18th KDD 2012: Beijing, China - BigMine Workshop
- Wei Fan, Albert Bifet, Qiang Yang, Philip S. Yu:
Proceedings of the 1st International Workshop on Big Data, Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications, BigMine 2012, Beijing, China, August 12, 2012. ACM 2012, ISBN 978-1-4503-1547-0 - Charles Parker:
Unexpected challenges in large scale machine learning. 1-6 - Vivekanand Gopalkrishnan, David M. Steier, Harvey Lewis, James Guszcza:
Big data, big business: bridging the gap. 7-11 - Yu Cheng, Yusheng Xie, Kunpeng Zhang, Ankit Agrawal
, Alok N. Choudhary:
CluChunk: clustering large scale user-generated content incorporating chunklet information. 12-19 - Junbo Zhang, Tianrui Li, Yi Pan:
Parallel rough set based knowledge acquisition using MapReduce from big data. 20-27 - Liangliang Cao, Brian Cho, Hyun Duk Kim, Zhen Li, Min-Hsuan Tsai, Indranil Gupta:
Delta-SimRank computing on MapReduce. 28-35 - Yang Hang, Simon Fong:
Incrementally optimized decision tree for noisy big data. 36-44 - Zhenghua Xue, Geng Shen, Jianhui Li, Qian Xu, Yang Zhang, Jing Shao:
Compression-aware I/O performance analysis for big data clustering. 45-52 - Nesreen K. Ahmed, Jennifer Neville, Ramana Rao Kompella:
Space-efficient sampling from social activity streams. 53-60 - Zengfeng Zeng, Bin Wu, Haoyu Wang:
A parallel graph partitioning algorithm to speed up the large-scale distributed graph mining. 61-68 - Huan Wang, Yanwei Yu, Qin Wang, Yadong Wan:
A density-based clustering structure mining algorithm for data streams. 69-76 - Jonathan Magnusson, Tor Kvernvik:
Subscriber classification within telecom networks utilizing big data technologies and machine learning. 77-84 - Mian Lu, Jiuxin Zhao, Qiong Luo, Bingqiang Wang:
Accelerating minor allele frequency computation with graphics processors. 85-92 - Steven C. H. Hoi, Jialei Wang, Peilin Zhao, Rong Jin:
Online feature selection for mining big data. 93-100 - Aniruddha Basak, Irina Brinster, Xianheng Ma, Ole J. Mengshoel:
Accelerating Bayesian network parameter learning using Hadoop and MapReduce. 101-108 - Basheer Hawwash, Olfa Nasraoui:
Stream-dashboard: a framework for mining, tracking and validating clusters in a data stream. 109-117 - Huijun He, Mingmin Chi, Wenqiang Zhang:
A kernel fused perceptron for the online classification of large-scale data. 118-124
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