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ML
2006
ACM
105views Machine Learning» more  ML 2006»
13 years 8 months ago
Propositionalization-based relational subgroup discovery with RSD
Abstract Relational rule learning algorithms are typically designed to construct classification and prediction rules. However, relational rule learning can be adapted also to subgr...
Filip Zelezný, Nada Lavrac
ICPR
2010
IEEE
13 years 6 months ago
A Practical Heterogeneous Classifier for Relational Databases
Most enterprise data is distributed in multiple relational databases with expert-designed schema. Using traditional single-table machine learning techniques over such data not onl...
Geetha Manjunath, M. Narasimha Murty, Dinkar Sitar...
INFOCOM
2000
IEEE
14 years 12 days ago
Stochastic Modeling of TCP over Lossy Links
—An analytical framework for modeling the performance of a single TCP session in the presence of random packet loss is presented. A Markovian approach is developed that allows us...
Alhussein A. Abouzeid, Sumit Roy, Murat Azizoglu
INCDM
2007
Springer
69views Data Mining» more  INCDM 2007»
14 years 2 months ago
Simultaneous Co-clustering and Modeling of Market Data
For difficult prediction problems, practitioners often segment the data into relatively homogenous groups and then build a model for each group. This two-step procedure usually res...
Meghana Deodhar, Joydeep Ghosh
BMCBI
2010
147views more  BMCBI 2010»
13 years 8 months ago
Indirect two-sided relative ranking: a robust similarity measure for gene expression data
Background: There is a large amount of gene expression data that exists in the public domain. This data has been generated under a variety of experimental conditions. Unfortunatel...
Louis Licamele, Lise Getoor