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KDD
1999
ACM
166views Data Mining» more  KDD 1999»
14 years 13 hour ago
CACTUS - Clustering Categorical Data Using Summaries
Clustering is an important data mining problem. Most of the earlier work on clustering focussed on numeric attributes which have a natural ordering on their attribute values. Rece...
Venkatesh Ganti, Johannes Gehrke, Raghu Ramakrishn...
DATE
2002
IEEE
82views Hardware» more  DATE 2002»
14 years 21 days ago
Dynamic Scheduling and Clustering in Symbolic Image Computation
The core computation in BDD-based symbolic synthesis and verification is forming the image and pre-image of sets of states under the transition relation characterizing the sequen...
Gianpiero Cabodi, Paolo Camurati, Stefano Quer
PDCAT
2005
Springer
14 years 1 months ago
Performance Study of Nonrigid Registration Algorithm for Investigating Lung Disease on Clusters
This paper presents a performance study of a nonrigid registration algorithm for investigating lung disease on clusters. Our algorithm combines two conventional acceleration techn...
Fumihiko Ino, Yuya Tanaka, Kenichi Hagihara, Hirok...
CLUSTER
2008
IEEE
14 years 2 months ago
Enabling lock-free concurrent fine-grain access to massive distributed data: Application to supernovae detection
—We consider the problem of efficiently managing massive data in a large-scale distributed environment. We consider data strings of size in the order of Terabytes, shared and ac...
Bogdan Nicolae, Gabriel Antoniu, Luc Bougé
SDM
2011
SIAM
256views Data Mining» more  SDM 2011»
12 years 10 months ago
Temporal Structure Learning for Clustering Massive Data Streams in Real-Time
This paper describes one of the first attempts to model the temporal structure of massive data streams in real-time using data stream clustering. Recently, many data stream clust...
Michael Hahsler, Margaret H. Dunham