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» On the partition dimension and connected partition dimension...
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SSD
2005
Springer
105views Database» more  SSD 2005»
14 years 1 months ago
Evaluation of Top-k OLAP Queries Using Aggregate R-Trees
Abstract. A top-k OLAP query groups measures with respect to some abstraction level of interesting dimensions and selects the k groups with the highest aggregate value. An example ...
Nikos Mamoulis, Spiridon Bakiras, Panos Kalnis
IMC
2004
ACM
14 years 1 months ago
Introducing scalability in network measurement: toward 10 Gbps with commodity hardware
The capacity of today's network links, along with the heterogeneity of their traffic, is rapidly growing, more than the workstation’s processing power. This makes the task ...
Loris Degioanni, Gianluca Varenni
ICDM
2002
IEEE
159views Data Mining» more  ICDM 2002»
14 years 17 days ago
O-Cluster: Scalable Clustering of Large High Dimensional Data Sets
Clustering large data sets of high dimensionality has always been a serious challenge for clustering algorithms. Many recently developed clustering algorithms have attempted to ad...
Boriana L. Milenova, Marcos M. Campos
IPPS
2002
IEEE
14 years 16 days ago
A Recursion-Based Broadcast Paradigm in Wormhole Routed Mesh/Torus Networks
: A novel broadcast technique for wormhole-routed mesh and torus parallel computers based on recursion is presented in this paper. It works by partitioning the graph into several s...
Xiaotong Zhuang, Vincenzo Liberatore
COMPGEOM
2009
ACM
14 years 8 days ago
k-means requires exponentially many iterations even in the plane
The k-means algorithm is a well-known method for partitioning n points that lie in the d-dimensional space into k clusters. Its main features are simplicity and speed in practice....
Andrea Vattani