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PODS
2002
ACM
167views Database» more  PODS 2002»
14 years 9 months ago
OLAP Dimension Constraints
In multidimensional data models intended for online analytic processing (OLAP), data are viewed as points in a multidimensional space. Each dimension has structure, described by a...
Carlos A. Hurtado, Alberto O. Mendelzon
DEXA
2000
Springer
132views Database» more  DEXA 2000»
14 years 1 months ago
Improving the Performance of High-Energy Physics Analysis through Bitmap Indices
Abstract. Bitmap indices are popular multi-dimensional data structures for accessing read-mostly data such as data warehouse (DW) applications, decision support systems (DSS) and o...
Kurt Stockinger, Dirk Düllmann, Wolfgang Hosc...
SDM
2004
SIAM
162views Data Mining» more  SDM 2004»
13 years 10 months ago
Subspace Clustering of High Dimensional Data
Clustering suffers from the curse of dimensionality, and similarity functions that use all input features with equal relevance may not be effective. We introduce an algorithm that...
Carlotta Domeniconi, Dimitris Papadopoulos, Dimitr...
IS
2008
13 years 8 months ago
Continuous subspace clustering in streaming time series
Performing data mining tasks in streaming data is considered a challenging research direction, due to the continuous data evolution. In this work, we focus on the problem of clust...
Maria Kontaki, Apostolos N. Papadopoulos, Yannis M...
EDBT
2006
ACM
137views Database» more  EDBT 2006»
14 years 9 months ago
Data Mapping as Search
In this paper, we describe and situate the TUPELO system for data mapping in relational databases. Automating the discovery of mappings between structured data sources is a long st...
George H. L. Fletcher, Catharine M. Wyss