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» Massive Data Pre-Processing with a Cluster Based Approach
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KAIS
2006
110views more  KAIS 2006»
15 years 4 months ago
Multi-step density-based clustering
Abstract. Data mining in large databases of complex objects from scientific, engineering or multimedia applications is getting more and more important. In many areas, complex dista...
Stefan Brecheisen, Hans-Peter Kriegel, Martin Pfei...
KDD
2009
ACM
182views Data Mining» more  KDD 2009»
16 years 5 months ago
Scalable graph clustering using stochastic flows: applications to community discovery
Algorithms based on simulating stochastic flows are a simple and natural solution for the problem of clustering graphs, but their widespread use has been hampered by their lack of...
Venu Satuluri, Srinivasan Parthasarathy
SIGMOD
2004
ACM
199views Database» more  SIGMOD 2004»
16 years 4 months ago
Approximate XML Query Answers
The rapid adoption of XML as the standard for data representation and exchange foreshadows a massive increase in the amounts of XML data collected, maintained, and queried over th...
Neoklis Polyzotis, Minos N. Garofalakis, Yannis E....
ICPP
2008
IEEE
15 years 10 months ago
Parallel Inferencing for OWL Knowledge Bases
Abstract— We examine the problem of parallelizing the inferencing process for OWL knowledge-bases. A key challenge in this problem is partitioning the computational workload of t...
Ramakrishna Soma, Viktor K. Prasanna
CVPR
2010
IEEE
15 years 7 months ago
Classification and Clustering via Dictionary Learning with Structured Incoherence
A clustering framework within the sparse modeling and dictionary learning setting is introduced in this work. Instead of searching for the set of centroid that best fit the data, ...
Pablo Sprechmann, Ignacio Ramirez, Guillermo Sapir...