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» Data Mining Using Fractals and Power Laws
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PAKDD
2004
ACM
94views Data Mining» more  PAKDD 2004»
14 years 23 days ago
Self-Similar Mining of Time Association Rules
Although the task of mining association rules has received considerable attention in the literature, algorithms to find time association rules are often inadequate, by either miss...
Daniel Barbará, Ping Chen, Zohreh Nazeri
GCC
2003
Springer
14 years 19 days ago
Network Behavior Analysis Based on a Computer Network Model
This paper applies a new traffic model, iterated function systems (IFS) for network traffic modelling, to explore computer network behaviour and analyse network performance. IFS mo...
Weili Han, Shuai Dianxun, Yujun Liu
BMCBI
2004
169views more  BMCBI 2004»
13 years 7 months ago
A power law global error model for the identification of differentially expressed genes in microarray data
Background: High-density oligonucleotide microarray technology enables the discovery of genes that are transcriptionally modulated in different biological samples due to physiolog...
Norman Pavelka, Mattia Pelizzola, Caterina Vizzard...
SBBD
2000
168views Database» more  SBBD 2000»
13 years 8 months ago
Fast Feature Selection Using Fractal Dimension
Dimensionalitycurse and dimensionalityreduction are two issues that have retained highinterest for data mining, machine learning, multimedia indexing, and clustering. We present a...
Caetano Traina Jr., Agma J. M. Traina, Leejay Wu, ...
SIGMOD
2000
ACM
104views Database» more  SIGMOD 2000»
13 years 11 months ago
Spatial Join Selectivity Using Power Laws
We discovered a surprising law governing the spatial join selectivity across two sets of points. An example of such a spatial join is "find the libraries that are within 10 m...
Christos Faloutsos, Bernhard Seeger, Agma J. M. Tr...