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Semi-supervised Instance Matching Using Boosted Classifiers · Study

WorkSemi-supervised Instance Matching Using Boosted Classifiers

Mayank Kejriwal2015

OA

Workbronze2015

Semi-supervised Instance Matching Using Boosted Classifiers

Mayank Kejriwal · Daniel P. Miranker

49 citations·0/0 files stored·Lecture notes in computer science

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Data Quality and Management Topic Modeling Machine Learning and Data Classification

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References

1997A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting 1995A desicion-theoretic generalization of on-line learning and an application to boosting 2006Duplicate Record Detection: A Survey 2003Adaptive duplicate detection using learnable string similarity measures 2012Data Matching 2011A Survey of Indexing Techniques for Scalable Record Linkage and Deduplication 2012Data Matching: Concepts and Techniques for Record Linkage, Entity Resolution, and Duplicate Detection 2010Evaluation of entity resolution approaches on real-world match problems

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Details

Year2015

Typeother

Published2015-01-01

VenueLecture notes in computer science

ISSN-L0302-9743

Languageen

Citations49

Files0 public / 0

ShelfData Quality and Management

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doi10.1007/978-3-319-18818-8_24

openalex_workW986840995

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