Learning relational probability trees (2003)

by Jennifer Neville , David Jensen , Lisa Friedland , Michael Hay
Venue:In Proceedings of the 9th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
Citations:96 - 24 self

Active Bibliography

19 Avoiding bias when aggregating relational data with degree disparity – David Jensen, Jennifer Neville, Michael Hay - 2003
9 STATISTICAL MODELS AND ANALYSIS TECHNIQUES FOR LEARNING IN RELATIONAL DATA – Jennifer Neville - 2006
55 Dependency Networks for Relational Data – Jennifer Neville, David Jensen - 2004
43 Leveraging relational autocorrelation with latent group models – Jennifer Neville, David Jensen
58 A Simple Relational Classifier – Sofus A. Macskassy, Foster Provost - 2003
39 Relational dependency networks – Jennifer Neville, David Jensen, Max Chickering - 2007
1 Feature Discovery with Type Extension Trees – Paolo Frasconi, Manfred Jaeger, Andrea Passerini
1 Cautious Collective Classification – Luke K. Mcdowell, Kalyan Moy Gupta, David W. Aha, Michael Collins
1 Type Extension Trees: a Unified Framework for Relational Feature Construction – Manfred Jaeger, Aalborg Universitet, Fredrik Bajers Vej E, Dk- Aalborg Ø
Mining in the Proximity of Subgraphs – Nikhil S. Ketkar, et al. - 2006
ALGORITHMS FOR NON-PARAMETRIC CLASSIFIERS IN MULTI-RELATIONAL DATA MINING – Trilce M Encarnación, Edgar Acuña Fernandez - 2006
A Framework for Exploiting Temporal . . . – Umang Sharan - 2008
12 Temporal-relational classifiers for prediction in evolving domains – Umang Sharan - 2008
33 Learning Statistical Models from Relational Data – Lise Getoor, Luc De Raedt - 2001
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
22 Distribution-based aggregation for relational learning with identifier attributes – Claudia Perlich, Foster Provost - 2004
23 Data Mining in Social Networks – David Jensen, Jennifer Neville - 2002
18 A Note on the Unification of Information Extraction and Data Mining using Conditional-Probability, Relational Models – Andrew Mccallum, David Jensen - 2003
1 ReMauve: A Relational Model Tree Learner – Celine Vens, Jan Ramon, Hendrik Blockeel