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ICDM
2009
IEEE
172views Data Mining» more  ICDM 2009»
13 years 5 months ago
Evaluating Statistical Tests for Within-Network Classifiers of Relational Data
Recently a number of modeling techniques have been developed for data mining and machine learning in relational and network domains where the instances are not independent and ide...
Jennifer Neville, Brian Gallagher, Tina Eliassi-Ra...
ICDM
2008
IEEE
92views Data Mining» more  ICDM 2008»
14 years 1 months ago
A Shrinkage Approach for Modeling Non-stationary Relational Autocorrelation
Recent research has shown that collective classification in relational data often exhibit significant performance gains over conventional approaches that classify instances indi...
Pelin Angin, Jennifer Neville
DIS
2009
Springer
14 years 2 months ago
A Sliding Window Algorithm for Relational Frequent Patterns Mining from Data Streams
Some challenges in frequent pattern mining from data streams are the drift of data distribution and the computational efficiency. In this work an additional challenge is considered...
Fabio Fumarola, Anna Ciampi, Annalisa Appice, Dona...
ISMIS
2003
Springer
14 years 19 days ago
NETMARK: A Schema-Less Extension for Relational Databases for Managing Semi-structured Data Dynamically
Object-Relational database management system is an integrated hybrid cooperative approach to combine the best practices of both the relational model utilizing SQL queries and the ...
David A. Maluf, Peter B. Tran
ACL
2009
13 years 5 months ago
Distant supervision for relation extraction without labeled data
Modern models of relation extraction for tasks like ACE are based on supervised learning of relations from small hand-labeled corpora. We investigate an alternative paradigm that ...
Mike Mintz, Steven Bills, Rion Snow, Daniel Jurafs...