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Advances in Knowledge Discovery and Data Mining
Febrl – A Parallel Open Source Data Linkage System
other
Author(s):
Peter Christen
,
Tim Churches
,
Markus Hegland
Publication date
(Print):
2004
Publisher:
Springer Berlin Heidelberg
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Open source discrete and agent-based modeling frameworks for biology
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Efficient clustering of high-dimensional data sets with application to reference matching
Andrew McCallum
,
Kamal Nigam
,
Lyle Ungar
(2000)
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Using MPI
William Gropp
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Ewing Lusk
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Anthony Skjellum
(1999)
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Record linkage: making maximum use of the discriminating power of identifying information
Howard Newcombe
,
James Kennedy
(1962)
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Book Chapter
Publication date (Print):
2004
Pages
: 638-647
DOI:
10.1007/978-3-540-24775-3_75
SO-VID:
4ceb63f7-af27-400a-b7e8-fcde9fdd8d52
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Book chapters
pp. 384
Using Cluster-Based Sampling to Select Initial Training Set for Active Learning in Text Classification
pp. 52
Mining Expressive Process Models by Clustering Workflow Traces
pp. 615
Constraint-Based Mining of Formal Concepts in Transactional Data
pp. 272
Logistic Regression and Boosting for Labeled Bags of Instances
pp. 282
Fast and Light Boosting for Adaptive Mining of Data Streams
pp. 414
Cluster Structure of K-means Clustering via Principal Component Analysis
pp. 539
Extracting Citation Metadata from Online Publication Lists Using BLAST
pp. 638
Febrl – A Parallel Open Source Data Linkage System
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