A Survey of Mass Data Mining Based on Cloud-computing

被引:0
作者
Hu, Tingting [1 ]
Chen, Haishan [1 ]
Huang, Lu [1 ]
Zhu, Xiaodan [1 ]
机构
[1] Xiamen Univ, Software Sch, Xiamen, Peoples R China
来源
2012 INTERNATIONAL CONFERENCE ON ANTI-COUNTERFEITING, SECURITY AND IDENTIFICATION (ASID) | 2012年
关键词
Cloud Computing; Data Mining; Cloud Service; Parallel Computing;
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Since 2007, the business calculation model-cloud computing was proposed. Promoted greatly by great companies, cloud computing is developing at a very rapid pace. With the features of mass data storage and distribution calculation of cloud computing, it provides a new method for data mining, effectively solving the problems of distribution of mass data mining and efficient storage computing. The cloud computing model brings many benefits and convenience. This paper introduces the cloud computing and data mining and then simply introduce some existing parallel data mining algorithms based on cloud computing and data mining service platforms. Finally it gives a simple description of the problems and prospects of data mining based on cloud computing.
引用
收藏
页数:4
相关论文
共 19 条
  • [11] Jin C., 2007, TUTORIAL ARTIFICIAL
  • [12] Liu H, 2011, CLOUD COMPUTING AND SOFTWARE SERVICES: THEORY AND TECHNIQUES, P409
  • [13] Lozano E., 2005, P 5 IEEE INT C DAT M, P27
  • [14] Ranger C, 2007, INT S HIGH PERF COMP, P13
  • [15] Sharma K., 2011, 2011 3rd International Conference on Electronics Computer Technology (ICECT 2011), P399, DOI 10.1109/ICECTECH.2011.5941631
  • [16] How Distributed Data Mining Tasks can Thrive as Knowledge Services
    Talia, Domenico
    Trunfio, Paolo
    [J]. COMMUNICATIONS OF THE ACM, 2010, 53 (07) : 132 - 137
  • [17] Topchy A, 2003, THIRD IEEE INTERNATIONAL CONFERENCE ON DATA MINING, PROCEEDINGS, P331
  • [18] White T., 2010, Hadoop: The definitive guide
  • [19] [赵卫中 Zhao Weizhong], 2011, [计算机科学, Computer Science], V38, P166