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» Scaling Clustering Algorithms to Large Databases
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ICDE
2005
IEEE
132views Database» more  ICDE 2005»
14 years 2 months ago
CLICKS: Mining Subspace Clusters in Categorical Data via K-partite Maximal Cliques
We present a novel algorithm called CLICKS, that finds clusters in categorical datasets based on a search for kpartite maximal cliques. Unlike previous methods, CLICKS mines subs...
Mohammed Javeed Zaki, Markus Peters
SIGMOD
1999
ACM
183views Database» more  SIGMOD 1999»
14 years 24 days ago
OPTICS: Ordering Points To Identify the Clustering Structure
Cluster analysis is a primary method for database mining. It is either used as a stand-alone tool to get insight into the distribution of a data set, e.g. to focus further analysi...
Mihael Ankerst, Markus M. Breunig, Hans-Peter Krie...
CIDR
2011
252views Algorithms» more  CIDR 2011»
13 years 2 days ago
Hyder - A Transactional Record Manager for Shared Flash
Hyder supports reads and writes on indexed records within classical multi-step transactions. It is designed to run on a cluster of servers that have shared access to a large pool ...
Philip A. Bernstein, Colin W. Reid, Sudipto Das
IPPS
2007
IEEE
14 years 2 months ago
Bi-criteria Scheduling Algorithm with Deployment in Cluster
Computational grids clusters, provide powerful computing resources for executing applications of large scale. In Grid (clusters) usually several applications run simultaneously.Th...
Feryal-Kamila Moulaï, Gregory Mounie
KDD
2004
ACM
285views Data Mining» more  KDD 2004»
14 years 1 months ago
Effective localized regression for damage detection in large complex mechanical structures
In this paper, we propose a novel data mining technique for the efficient damage detection within the large-scale complex mechanical structures. Every mechanical structure is defi...
Aleksandar Lazarevic, Ramdev Kanapady, Chandrika K...