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» Distributed Data Clustering Can Be Efficient and Exact
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PKDD
2000
Springer
144views Data Mining» more  PKDD 2000»
15 years 9 months ago
Fast Hierarchical Clustering Based on Compressed Data and OPTICS
: One way to scale up clustering algorithms is to squash the data by some intelligent compression technique and cluster only the compressed data records. Such compressed data recor...
Markus M. Breunig, Hans-Peter Kriegel, Jörg S...
GRID
2003
Springer
15 years 11 months ago
Applying Database Support for Large Scale Data Driven Science in Distributed Environments
There is a rapidly growing set of applications, referred to as data driven applications, in which analysis of large amounts of data drives the next steps taken by the scientist, e...
Sivaramakrishnan Narayanan, Ümit V. Ça...
PPOPP
2006
ACM
16 years 2 days ago
Exploiting distributed version concurrency in a transactional memory cluster
We investigate a transactional memory runtime system providing scaling and strong consistency for generic C++ and SQL applications on commodity clusters. We introduce a novel page...
Kaloian Manassiev, Madalin Mihailescu, Cristiana A...
ATAL
2007
Springer
16 years 9 days ago
A framework for agent-based distributed machine learning and data mining
This paper proposes a framework for agent-based distributed machine learning and data mining based on (i) the exchange of meta-level descriptions of individual learning processes ...
Jan Tozicka, Michael Rovatsos, Michal Pechoucek
SSDBM
2005
IEEE
128views Database» more  SSDBM 2005»
15 years 11 months ago
Fuzzy Decomposition of Spatially Extended Objects
Modern database applications including computer-aided design, multimedia information systems, medical imaging, molecular biology, or geographical information systems impose new re...
Hans-Peter Kriegel, Martin Pfeifle