Data Mining in Social Networks (2002)

by David Jensen , Jennifer Neville
Venue:In National Academy of Sciences Symposium on Dynamic Social Network Modeling and Analysis
Citations:23 - 1 self

Active Bibliography

58 A Simple Relational Classifier – Sofus A. Macskassy, Foster Provost - 2003
9 STATISTICAL MODELS AND ANALYSIS TECHNIQUES FOR LEARNING IN RELATIONAL DATA – Jennifer Neville - 2006
31 Probabilistic Logic Learning – Luc De Raedt, Kristian Kersting - 2004
7 Mining Massive Relational Databases – Geoff Hulten, Pedro Domingos, Yeuhi Abe
10 Pruning decision trees and lists – Eibe Frank - 2000
11 The relational vector-space model and industry classification – Abraham Bernstein - 2003
79 Why Collective Inference Improves Relational Classification – David Jensen, Jennifer Neville, Brian Gallagher - 2004
45 Collective classification in network data – Prithviraj Sen, Galileo Namata, Mustafa Bilgic, Lise Getoor, Brian Gallagher, Tina Eliassi-rad - 2008
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
1 A relational approach to probabilistic classification in a . . . – Donato Malerba, Michelangelo Ceci, Annalisa Appice - 2009
33 Active Learning with Multiple Views – Ion Alexandru Muslea - 2002
9 Autocorrelation and linkage cause bias in evaluation of relational learners – David Jensen, Jennifer Neville - 2002
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
18 Naive Bayesian Classification of Structured Data – Peter A. Flach, Nicolas Lachiche - 2003
35 Statistical Relational Learning for Document Mining – Alexandrin Popescul, Lyle H. Ungar, Steve Lawrence, David M. Pennock - 2003
96 Learning relational probability trees – Jennifer Neville, David Jensen, Lisa Friedland, Michael Hay - 2003
62 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
36 CrossMine: Efficient Classification Across Multiple Database Relations – Xiaoxin Yin, Jiawei Han, Jiong Yang, Philip S Yu, Ibm T. J. Watson, Resch Ctr - 2004