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58
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A Simple Relational Classifier
– Sofus A. Macskassy, Foster Provost
- 2003
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9
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STATISTICAL MODELS AND ANALYSIS TECHNIQUES FOR LEARNING IN RELATIONAL DATA
– Jennifer Neville
- 2006
|
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31
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Probabilistic Logic Learning
– Luc De Raedt, Kristian Kersting
- 2004
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7
|
Mining Massive Relational Databases
– Geoff Hulten, Pedro Domingos, Yeuhi Abe
|
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10
|
Pruning decision trees and lists
– Eibe Frank
- 2000
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11
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The relational vector-space model and industry classification
– Abraham Bernstein
- 2003
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79
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Why Collective Inference Improves Relational Classification
– David Jensen, Jennifer Neville, Brian Gallagher
- 2004
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45
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Collective classification in network data
– Prithviraj Sen, Galileo Namata, Mustafa Bilgic, Lise Getoor, Brian Gallagher, Tina Eliassi-rad
- 2008
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2
|
A brief survey of machine learning methods for classification in networked data and an application to suspicion scoring
– Sofus A. Macskassy, Foster Provost
- 2006
|
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1
|
A relational approach to probabilistic classification in a . . .
– Donato Malerba, Michelangelo Ceci, Annalisa Appice
- 2009
|
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33
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Active Learning with Multiple Views
– Ion Alexandru Muslea
- 2002
|
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9
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Autocorrelation and linkage cause bias in evaluation of relational learners
– David Jensen, Jennifer Neville
- 2002
|
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10
|
Schemas and Models
– David Jensen, Jennifer Neville
- 2002
|
|
3
|
An efficient multi-relational naive Bayesian classifier based on semantic relationship graph
– Hongyan Liu, Xiaoxin Yin
|
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18
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Naive Bayesian Classification of Structured Data
– Peter A. Flach, Nicolas Lachiche
- 2003
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35
|
Statistical Relational Learning for Document Mining
– Alexandrin Popescul, Lyle H. Ungar, Steve Lawrence, David M. Pennock
- 2003
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96
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Learning relational probability trees
– Jennifer Neville, David Jensen, Lisa Friedland, Michael Hay
- 2003
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62
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Feature construction with Inductive Logic Programming: a study of quantitative predictions of chemical activity aided by structural attributes
– Ashwin Srinivasan, R. D. King, Biomolecular Modelling Laboratory
- 1996
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36
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CrossMine: Efficient Classification Across Multiple Database Relations
– Xiaoxin Yin, Jiawei Han, Jiong Yang, Philip S Yu, Ibm T. J. Watson, Resch Ctr
- 2004
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