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» Knowledge Discovery from Transportation Network Data
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EDBT
2000
ACM
13 years 12 months ago
Mining Classification Rules from Datasets with Large Number of Many-Valued Attributes
Decision tree induction algorithms scale well to large datasets for their univariate and divide-and-conquer approach. However, they may fail in discovering effective knowledge when...
Giovanni Giuffrida, Wesley W. Chu, Dominique M. Ha...
PAM
2009
Springer
14 years 3 months ago
Data Gathering in Optical Networks with the TL1 Toolkit
This paper describes a new tool for gathering (performance) data from optical network devices. During the last few years many National Research and Education Networks (NRENs) have ...
Ronald van der Pol, Andree Toonk
GECCO
2009
Springer
148views Optimization» more  GECCO 2009»
14 years 2 months ago
An evolutionary approach to constructive induction for link discovery
This paper presents a genetic programming-based symbolic regression approach to the construction of relational features in link analysis applications. Specifically, we consider t...
Tim Weninger, William H. Hsu, Jing Xia, Waleed Alj...
TPDS
2008
136views more  TPDS 2008»
13 years 8 months ago
Data Gathering with Tunable Compression in Sensor Networks
We study the problem of constructing a data gathering tree over a wireless sensor network in order to minimize the total energy for compressing and transporting information from a ...
Yang Yu, Bhaskar Krishnamachari, Viktor K. Prasann...
ADVIS
2004
Springer
14 years 1 months ago
Incremental Association Rule Mining Using Materialized Data Mining Views
Data mining is an interactive and iterative process. Users issue series of similar queries until they receive satisfying results, yet currently available data mining systems do not...
Mikolaj Morzy, Tadeusz Morzy, Zbyszko Króli...