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» Mining Several Data Bases with an Ensemble of Classifiers
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ILP
2003
Springer
14 years 2 months ago
A Multi-relational Decision Tree Learning Algorithm - Implementation and Experiments
We describe an efficient implementation (MRDTL-2) of the Multi-relational decision tree learning (MRDTL) algorithm [23] which in turn was based on a proposal by Knobbe et al. [19] ...
Anna Atramentov, Hector Leiva, Vasant Honavar
IFSA
2007
Springer
133views Fuzzy Logic» more  IFSA 2007»
14 years 3 months ago
Fuzzy Tree Mining: Go Soft on Your Nodes
Tree mining consists in discovering the frequent subtrees from a forest of trees. This problem has many application areas. For instance, a huge volume of data available from the In...
Federico Del Razo López, Anne Laurent, Pasc...
ICDM
2003
IEEE
71views Data Mining» more  ICDM 2003»
14 years 2 months ago
Tree-structured Partitioning Based on Splitting Histograms of Distances
We propose a novel clustering algorithm that is similar in spirit to classification trees. The data is recursively split using a criterion that applies a discrete curve evolution...
Longin Jan Latecki, Rajagopal Venugopal, Marc Sobe...
PAKDD
2005
ACM
94views Data Mining» more  PAKDD 2005»
14 years 2 months ago
Progressive Sampling for Association Rules Based on Sampling Error Estimation
We explore in this paper a progressive sampling algorithm, called Sampling Error Estimation (SEE), which aims to identify an appropriate sample size for mining association rules. S...
Kun-Ta Chuang, Ming-Syan Chen, Wen-Chieh Yang
ICDM
2006
IEEE
145views Data Mining» more  ICDM 2006»
14 years 3 months ago
Stability Region Based Expectation Maximization for Model-based Clustering
In spite of the initialization problem, the ExpectationMaximization (EM) algorithm is widely used for estimating the parameters in several data mining related tasks. Most popular ...
Chandan K. Reddy, Hsiao-Dong Chiang, Bala Rajaratn...