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IDEAS
1999
IEEE
123views Database» more  IDEAS 1999»
15 years 11 months ago
Improving OLAP Performance by Multidimensional Hierarchical Clustering
Data-warehousing applications cope with enormous data sets in the range of Gigabytes and Terabytes. Queries usually either select a very small set of this data or perform aggregat...
Volker Markl, Frank Ramsak, Rudolf Bayer
COLT
2008
Springer
15 years 8 months ago
Finding Metric Structure in Information Theoretic Clustering
We study the problem of clustering discrete probability distributions with respect to the Kullback-Leibler (KL) divergence. This problem arises naturally in many applications. Our...
Kamalika Chaudhuri, Andrew McGregor
IJCAI
2001
15 years 8 months ago
Probabilistic Classification and Clustering in Relational Data
Supervised and unsupervised learning methods have traditionally focused on data consisting of independent instances of a single type. However, many real-world domains are best des...
Benjamin Taskar, Eran Segal, Daphne Koller
CASCON
1992
134views Education» more  CASCON 1992»
15 years 8 months ago
Cluster busting in anchored graph drawing
Given a graph G and a drawing or layout of G, it is sometimes desirable to alter or adjust the layout. The challenging aspect of designing layout adjustment algorithms is to maint...
Kelly A. Lyons
CCGRID
2010
IEEE
15 years 7 months ago
A Bi-criteria Algorithm for Scheduling Parallel Task Graphs on Clusters
Applications structured as parallel task graphs exhibit both data and task parallelism, and arise in many domains. Scheduling these applications on parallel platforms has been a lo...
Frédéric Desprez, Frédé...