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» Clustering by pattern similarity in large data sets
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SSDBM
2010
IEEE
188views Database» more  SSDBM 2010»
15 years 11 months ago
Similarity Estimation Using Bayes Ensembles
Similarity search and data mining often rely on distance or similarity functions in order to provide meaningful results and semantically meaningful patterns. However, standard dist...
Tobias Emrich, Franz Graf, Hans-Peter Kriegel, Mat...
BMCBI
2010
171views more  BMCBI 2010»
15 years 6 months ago
PyMix - The Python mixture package - a tool for clustering of heterogeneous biological data
Background: Cluster analysis is an important technique for the exploratory analysis of biological data. Such data is often high-dimensional, inherently noisy and contains outliers...
Benjamin Georgi, Ivan Gesteira Costa, Alexander Sc...
ICDE
2007
IEEE
131views Database» more  ICDE 2007»
16 years 23 days ago
Incremental Clustering of Mobile Objects
Moving objects are becoming increasingly attractive to the data mining community due to continuous advances in technologies like GPS, mobile computers, and wireless communication ...
Sigal Elnekave, Mark Last, Oded Maimon
INTENSIVE
2009
IEEE
16 years 1 months ago
A Service for Data-Intensive Computations on Virtual Clusters
Digital Preservation deals with the long-term storage, access, and maintenance of digital data objects. In order to prevent a loss of information, digital libraries and archives a...
Rainer Schmidt, Christian Sadilek, Ross King
IMCSIT
2010
15 years 4 months ago
Finding Patterns in Strings using Suffixarrays
Abstract--Finding regularities in large data sets requires implementations of systems that are efficient in both time and space requirements. Here, we describe a newly developed sy...
Herman Stehouwer, Menno van Zaanen