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GFKL
2005
Springer
105views Data Mining» more  GFKL 2005»
14 years 3 months ago
Implications of Probabilistic Data Modeling for Mining Association Rules
Mining association rules is an important technique for discovering meaningful patterns in transaction databases. In the current literature, the properties of algorithms to mine ass...
Michael Hahsler, Kurt Hornik, Thomas Reutterer
PVLDB
2010
135views more  PVLDB 2010»
13 years 8 months ago
Similarity Search and Mining in Uncertain Databases
Managing, searching and mining uncertain data has achieved much attention in the database community recently due to new sensor technologies and new ways of collecting data. There ...
Matthias Renz, Reynold Cheng, Hans-Peter Kriegel, ...
KDD
2008
ACM
121views Data Mining» more  KDD 2008»
14 years 10 months ago
Reconstructing chemical reaction networks: data mining meets system identification
We present an approach to reconstructing chemical reaction networks from time series measurements of the concentrations of the molecules involved. Our solution strategy combines t...
Yong Ju Cho, Naren Ramakrishnan, Yang Cao
CEC
2008
IEEE
14 years 4 months ago
Reduced polynomial neural swarm net for classification task in data mining
—In this paper, we proposed a reduced polynomial neural swarm net (RPNSN) for the task of classification. Classification task is one of the most studied tasks of data mining. In ...
Bijan Bihari Misra, Satchidananda Dehuri, Pradipta...
HM
2005
Springer
98views Optimization» more  HM 2005»
14 years 3 months ago
A Hybrid GRASP with Data Mining for the Maximum Diversity Problem
Abstract. The maximum diversity problem (MDP) consists in identifying, in a population, a subset of elements, characterized by a set of attributes, that present the most diverse ch...
L. F. Santos, Marcos Henrique Ribeiro, Alexandre P...