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» Detecting Co-Derivative Documents in Large Text Collections
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ECIR
2006
Springer
14 years 11 months ago
Intrinsic Plagiarism Detection
Current research in the field of automatic plagiarism detection for text documents focuses on algorithms that compare plagiarized documents against potential original documents. Th...
Sven Meyer zu Eissen, Benno Stein
AUSDM
2007
Springer
112views Data Mining» more  AUSDM 2007»
15 years 3 months ago
Measuring Data-Driven Ontology Changes using Text Mining
Most current ontology management systems concentrate on detecting usage-driven changes and representing changes formally in order to maintain the consistency. In this paper, we pr...
Majigsuren Enkhsaikhan, Wilson Wong, Wei Liu, Mark...
70
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ICMCS
2007
IEEE
149views Multimedia» more  ICMCS 2007»
15 years 4 months ago
SICO: A System for Detection of Near-Duplicate Images During Search
Duplicate and near-duplicate digital image matching is beneficial for image search in terms of collection management, digital content protection, and search efficiency. In this ...
Jun Jie Foo, Ranjan Sinha, Justin Zobel
ICIW
2009
IEEE
14 years 7 months ago
Detecting Ontology Mappings via Descriptive Statistical Methods
Instance-based ontology mapping comprises a collection of theoretical approaches and applications for identifying the implicit semantic similarities between two ontologies on the ...
Konstantin Todorov
SDM
2007
SIAM
187views Data Mining» more  SDM 2007»
14 years 11 months ago
Topic Models over Text Streams: A Study of Batch and Online Unsupervised Learning
Topic modeling techniques have widespread use in text data mining applications. Some applications use batch models, which perform clustering on the document collection in aggregat...
Arindam Banerjee, Sugato Basu