Sciweavers

177 search results - page 2 / 36
» Distributed Discovery of Large Near-Cliques
Sort
View
PAKDD
2000
ACM
140views Data Mining» more  PAKDD 2000»
13 years 8 months ago
Performance Controlled Data Reduction for Knowledge Discovery in Distributed Databases
The objective of data reduction is to obtain a compact representation of a large data set to facilitate repeated use of non-redundant information with complex and slow learning alg...
Slobodan Vucetic, Zoran Obradovic
ESANN
2000
13 years 6 months ago
Distributed clustering and local regression for knowledge discovery in multiple spatial databases
Many large -scale spatial data analysis problems involve an investigation of relationships in heterogeneous databases. In such situations, instead of making predictions uniformly a...
Aleksandar Lazarevic, Dragoljub Pokrajac, Zoran Ob...
TSP
2008
91views more  TSP 2008»
13 years 5 months ago
A Sequential Monte Carlo Method for Motif Discovery
We propose a sequential Monte Carlo (SMC)-based motif discovery algorithm that can efficiently detect motifs in datasets containing a large number of sequences. The statistical di...
Kuo-ching Liang, Xiaodong Wang, Dimitris Anastassi...
FGCS
2007
106views more  FGCS 2007»
13 years 5 months ago
Distributed data mining services leveraging WSRF
The continuous increase of data volumes available from many sources raises new challenges for their effective understanding. Knowledge discovery in large data repositories involv...
Antonio Congiusta, Domenico Talia, Paolo Trunfio
FQAS
2004
Springer
146views Database» more  FQAS 2004»
13 years 9 months ago
Discovering Representative Models in Large Time Series Databases
The discovery of frequently occurring patterns in a time series could be important in several application contexts. As an example, the analysis of frequent patterns in biomedical ...
Simona E. Rombo, Giorgio Terracina