Mei Li, Guanling Lee, Wang-Chien Lee, and Anand Sivasubramaniam Department ...  Home/Search
Context
Related
| psu.edu/~meli/pape...ns_infoscale06.pdf Cached: PS.gz PS PDF This document uses CoBlitz to cache paper downloads. If your firewall is blocking outgoing connections to port 3125, you can use these links to download local copies.
Image Update HelpPS.gz PS PDF From: psu.edu/~meli/publication (more) (Enter author homepages) |
Rate this article:      (best)Comment on this article |
Abstract: of autonomous data sources dispersed over a wide area. Data mining is an essential technology for obtaining hidden and valuable knowledge from these networked data sources. In this paper, we investigate clustering, one of the most important data mining tasks, in one of such networked computing environments, i.e., peer-to-peer (P2P) systems. The lack of a central control and the sheer large size of P2P systems make the existing clustering techniques not applicable here. We propose a fully... (Update)
Active bibliography (related documents): More All
0.8: DPTree: A Balanced Tree Based Indexing Framework for.. - Li, Lee, Sivasubramaniam (2006) (Correct)
0.5: Automated Modeling and Nonlinear Axis Scaling - Leejay Wu (2005) (Correct)
0.5: A Dissimilarity Measure for Clustering High- and Infinite.. - Socolovsky (2002) (Correct)
Similar documents based on text:
0.0: Unknown - (Correct)
BibTeX entry: (Update)
@misc{ guanling-pens,
author = "Mei Li Guanling",
title = "PENS: An Algorithm for Density-Based Clustering in Peer-to-Peer Systems",
url = "citeseer.ist.psu.edu/759097.html" }
Citations (may not include all citations):2133 Pattern classification and scene analysis (context) - Duda, Hart - 1973
1225 Chord: A scalable peer-to-peer lookup service for Internet a.. - Stoica, Morris et al. - 2001
1023 A scalable content-addressable network - Ratnasamy, Francis et al. - 2001
475 Automatic subspace clustering of high dimensional data for d.. - Agrawal, Gehrke et al. - 1998
283 Some methods for classification and analysis of multivariate.. - MacQueen - 1967
222 BIRCH: An efficient data clustering method for very large da.. - Zhang, Ramakrishnan et al. - 1996
210 A densitybased algorithm for discovering clusters in large s.. - Ester, Kriegel et al. - 1996
135 Theory and results (context) - Cheeseman, Stutz et al. - 1996
133 CURE: An efficient clustering algorithm for large databases - Guha, Rastogi et al. - 1998
76 OPTICS: Ordering points to identify the clustering structure (context) - Ankerst, Breunig et al. - 1999
71 STING: A statistical information grid approach to spatial da.. - Wang, Yang et al. - 1997
53 WaveCluster: A multi-resolution clustering approach for very.. - Sheikholeslami, Chatterjee et al. - 1998
39 A data-clustering algorithm on distributed memory multiproce.. - Dhillon, Modha - 1999
12 hierarchical clustering from distributed (context) - Johnson, Kargupta - 1999
4 A fast parallel clustering algorithm for large spatial datab.. (context) - Xu, ager et al. - 1999
3 Distributed data clustering can be efficient and exact (context) - Forman, Zhang - 2000
3 Semantic small world: An overlay network for peer-to-peer se.. - Li, Lee et al. - 2004
2 Clustering Distributed Data Streams in Peer-to-Peer Environm.. (context) - Bandyopadhyay, Gianella et al. - 2005
2 RACHET: An efficient cover-based merging of clustering hiera.. (context) - Samatova, Ostrouchov et al. - 2002
2 A case study in building layered DHT applications - Chawathe, Ramabhadran et al. - 2005
1 Guaranteeing correctnes and availability PP range indice (context) - Gehrke, correctness et al. - 2005
1 DBDC: Density based distributed clustering (context) - Januzaj, Kriegel et al. - 2004
Documents on the same site (http://www.cse.psu.edu/~meli/publication.htm): More
Neighborhood Signatures for Searching P2P Networks - Mei Li Wang-Chien (Correct)
Efficient Peer-to-Peer Information Sharing over Mobile Ad.. - Mei Li Wang-Chien (Correct)
Semantic Small World: An Overlay Network for Peer-to-Peer Search - Mei Li Wang-Chien (2004) (Correct)
Online articles have much greater impact More about CiteSeer.IST Add search form to your site Submit documents Feedback
CiteSeer.IST - Copyright Penn State and NEC