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GIS
2004
ACM
16 years 7 months ago
Representing spatiality in a conceptual multidimensional model
Data Warehouses and On-Line Analytical Processing systems rely on a multidimensional model that includes dimensions, hierarchies, and measures. Such model allows to express users&...
Elzbieta Malinowski, Esteban Zimányi
KDD
2004
ACM
113views Data Mining» more  KDD 2004»
16 years 7 months ago
Learning spatially variant dissimilarity (SVaD) measures
Clustering algorithms typically operate on a feature vector representation of the data and find clusters that are compact with respect to an assumed (dis)similarity measure betwee...
Krishna Kummamuru, Raghu Krishnapuram, Rakesh Agra...
ICDE
2007
IEEE
131views Database» more  ICDE 2007»
16 years 1 months 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
IDA
2007
Springer
16 years 28 days ago
Compact and Understandable Descriptions of Mixtures of Bernoulli Distributions
Abstract. Finite mixture models can be used in estimating complex, unknown probability distributions and also in clustering data. The parameters of the models form a complex repres...
Jaakko Hollmén, Jarkko Tikka
WEBDB
2005
Springer
83views Database» more  WEBDB 2005»
16 years 7 days ago
Indexing for XML Siblings
Efficient querying XML documents is an increasingly important issue considering the fact that XML becomes the de facto standard for data representation and exchange over the Web,...
SungRan Cho