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KDD
1998
ACM
123views Data Mining» more  KDD 1998»
13 years 9 months ago
Scaling Clustering Algorithms to Large Databases
Practical clustering algorithms require multiple data scans to achieve convergence. For large databases, these scans become prohibitively expensive. We present a scalable clusteri...
Paul S. Bradley, Usama M. Fayyad, Cory Reina
EDBT
2008
ACM
159views Database» more  EDBT 2008»
14 years 5 months ago
P2P systems with transactional semantics
Structured P2P systems have been developed for constructing applications at internet scale in cooperative environments and exhibit a number of desirable features such as scalabili...
Shyam Antony, Divyakant Agrawal, Amr El Abbadi
CLOUD
2010
ACM
13 years 10 months ago
G-Store: a scalable data store for transactional multi key access in the cloud
Cloud computing has emerged as a preferred platform for deploying scalable web-applications. With the growing scale of these applications and the data associated with them, scalab...
Sudipto Das, Divyakant Agrawal, Amr El Abbadi
ICDE
2009
IEEE
171views Database» more  ICDE 2009»
14 years 7 months ago
A Framework for Clustering Massive-Domain Data Streams
In this paper, we will examine the problem of clustering massive domain data streams. Massive-domain data streams are those in which the number of possible domain values for each a...
Charu C. Aggarwal
ICDM
2005
IEEE
188views Data Mining» more  ICDM 2005»
13 years 11 months ago
CLUMP: A Scalable and Robust Framework for Structure Discovery
We introduce a robust and efficient framework called CLUMP (CLustering Using Multiple Prototypes) for unsupervised discovery of structure in data. CLUMP relies on finding multip...
Kunal Punera, Joydeep Ghosh