TY - GEN
T1 - Learning link-based naïve bayes classifiers from ontology-extended distributed data
AU - Caragea, Cornelia
AU - Caragea, Doina
AU - Honavar, Vasant
PY - 2009
Y1 - 2009
N2 - We address the problem of learning predictive models from multiple large, distributed, autonomous, and hence almost invariably semantically disparate, relational data sources from a user's point of view. We show under fairly general assumptions, how to exploit data sources annotated with relevant meta data in building predictive models (e.g., classifiers) from a collection of distributed relational data sources, without the need for a centralized data warehouse, while offering strong guarantees of exactness of the learned classifiers relative to their centralized relational learning counterparts. We demonstrate an application of the proposed approach in the case of learning link-based Naïve Bayes classifiers and present results of experiments on a text classification task that demonstrate the feasibility of the proposed approach.
AB - We address the problem of learning predictive models from multiple large, distributed, autonomous, and hence almost invariably semantically disparate, relational data sources from a user's point of view. We show under fairly general assumptions, how to exploit data sources annotated with relevant meta data in building predictive models (e.g., classifiers) from a collection of distributed relational data sources, without the need for a centralized data warehouse, while offering strong guarantees of exactness of the learned classifiers relative to their centralized relational learning counterparts. We demonstrate an application of the proposed approach in the case of learning link-based Naïve Bayes classifiers and present results of experiments on a text classification task that demonstrate the feasibility of the proposed approach.
UR - http://www.scopus.com/inward/record.url?scp=78650714192&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=78650714192&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-05151-7_28
DO - 10.1007/978-3-642-05151-7_28
M3 - Conference contribution
AN - SCOPUS:78650714192
SN - 3642051502
SN - 9783642051500
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 1139
EP - 1146
BT - On the Move to Meaningful Internet Systems
T2 - Confederated International Conferences on On the Move to Meaningful Internet Systems, OTM 2009: CoopIS 2009, DOA 2009, IS 2009 and ODBASE 2009
Y2 - 1 November 2009 through 6 November 2009
ER -