计算机技术﹑电信技术 |
|
|
|
|
基于分布式哈希表的分布式子空间聚类算法 |
曲琳, 周凡, 田翔, 陈耀武 |
(浙江大学 数字技术及仪器研究所, 浙江 杭州 310027) |
|
Distributed Hash table-based distributed subspace clustering algorithm |
QU Lin, ZHOU Fan, TIAN Xiang, CHEN Yao-wu |
(Institute of Advanced Digital Technology and Instrument, Zhejiang University, Hangzhou 310027, China) |
引用本文:
曲琳, 周凡, 田翔, 等. 基于分布式哈希表的分布式子空间聚类算法[J]. J4, 2010, 44(2): 224-231.
QU Lin, ZHOU Fan, TIAN Xiang, et al. Distributed Hash table-based distributed subspace clustering algorithm. J4, 2010, 44(2): 224-231.
链接本文:
http://www.zjujournals.com/eng/CN/10.3785/j.issn.1008-973X.2010.02.003
或
http://www.zjujournals.com/eng/CN/Y2010/V44/I2/224
|
[1] AGRAWAL R, GEHRKE J, GUNOPULOS D, et al. Automatic subspace clustering of high dimensional data for data mining applications[C]// Proceedings of the ACM SIGMODInternational Conference on Management of Data. Seattle, Washington: ACM, 1998: 94-105.
[2] PARSONS L, HAQUE E, LIU H, et al. Subspace clustering for high dimensional data: a review[J]. ACM SIGKDD Explorations Newsletter, 2004, 6(1): 90-105.
[3] PATRIKAINEN A, MEILA M. Comparing subspace clusterings[J]. IEEE Transactions on Knowledge and Data Engineering, 2006, 18(7): 902-916.
[4] 田敬, 代亚非. P2P持久存储研究[J]. 软件学报,2007,18(6): 1379-1399.
TIAN Jing, DAI Ya-fei. Study on durable peer-to-peer storage techniques[J]. Journal of Software, 2007, 18(6): 1379-1399.
[5] DATTA S, BHADURI K, GIANNELLA C, et al. Distributed data mining in peer-to-peer networks[J]. IEEE Internet Computing, 2006, 10(4): 18-26.
[6] BAWA M, GIONIS A, MOLINA H G, et al. The price of validity in dynamic networks[C]// Proceedings of the 2004 ACM SIGMOD International Conference on Management of Data.Paris, France: ACM, 2004: 515-526.
[7] MEHYAR M, SPANOS D, PONGSAJAPAN J, et al. Asynchronous distributed averaging on communication networks[J]. IEEE/ACM Transactions on Networking, 2007, 15(3): 512-520.
[8] KEMPE D, DOBRA A, GEHRKE J, et al. Computing aggregate information using Gossip[C]// Proceedings of the 44th IEEE Symposium on Foundations of Computer Science.Cambridge, MA: IEEE, 2003: 482-491.
[9] DATTA S, GIANNELLA C, KARGUPTA H, et al. K-means clustering over peer-to-peer networks[C]// Proceedings of the 8th International Workshop on High Performance andDistributed Mining. Newport Beach, CA: [s. n.], 2005.
[10] WOLFF R, BHADURI K, KARGUPTA H, et al. Local L2 thresholding based data mining in peer-to-peer systems[C]// Proceedings of the SIAM Conference on Data Mining. Bethesda,MD: [s. n.], 2006: 430-441.
[11] WOLFF R, SCHUSTER A. Association rule mining in peer-to-peer systems[C]// Proceedings of the IEEE International Conference on Data Mining. Washington, DC: IEEE, 2003:363-370.
[12] LUO P, XIONG H, KEVIN L, et al. Distributed classification in peer-to-peer networks[C]// Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. San Jose, California: ACM, 2007: 968-976.
[13] MAYMOUNKOV P, MAZIERES D. Kademlia: a peer-to-peer information system based on the XOR metric[C]// Proceedings of the 1st International Workshop on Peer-to-PeerSystems. London, UK: Springer, 2002: 53-65.
[14] DUYGULU P, BARNARD K, FREITAS J F, et al. Object recognition as machine translation: learning a lexicon for a fixed image vocabulary[C]// Proceedings of the 7thEuropean Conference on Computer Vision. London, UK: Springer, 2002: 97-112. |
|
Viewed |
|
|
|
Full text
|
|
|
|
|
Abstract
|
|
|
|
|
Cited |
|
|
|
|
|
Shared |
|
|
|
|
|
Discussed |
|
|
|
|