In praise of laziness: A lazy strategy for web information extraction
dc.citation.epage | 568 | en_US |
dc.citation.spage | 565 | en_US |
dc.citation.volumeNumber | 7224 | en_US |
dc.contributor.author | Özcan, Rıfat | en_US |
dc.contributor.author | Altıngövde, I. Ş. | en_US |
dc.contributor.author | Ulusoy, Özgür | en_US |
dc.coverage.spatial | Barcelona, Spain | en_US |
dc.date.accessioned | 2016-02-08T12:14:35Z | |
dc.date.available | 2016-02-08T12:14:35Z | |
dc.date.issued | 2012 | en_US |
dc.department | Department of Computer Engineering | en_US |
dc.description | Date of Conference: 1-5 April 2012 | en_US |
dc.description | Conference name: 34th European Conference on IR Research, ECIR 2012 | en_US |
dc.description.abstract | A large number of Web information extraction algorithms are based on machine learning techniques. For such extraction algorithms, we propose employing a lazy learning strategy to build a specialized model for each test instance to improve the extraction accuracy and avoid the disadvantages of constructing a single general model. © 2012 Springer-Verlag Berlin Heidelberg. | en_US |
dc.description.provenance | Made available in DSpace on 2016-02-08T12:14:35Z (GMT). No. of bitstreams: 1 bilkent-research-paper.pdf: 70227 bytes, checksum: 26e812c6f5156f83f0e77b261a471b5a (MD5) Previous issue date: 2012 | en |
dc.identifier.doi | 10.1007/978-3-642-28997-2_65 | en_US |
dc.identifier.issn | 0302-9743 | en_US |
dc.identifier.uri | http://hdl.handle.net/11693/28222 | en_US |
dc.language.iso | English | en_US |
dc.relation.ispartofseries | Lecture Notes in Computer Science;7224 | en_US |
dc.relation.isversionof | http://dx.doi.org/10.1007/978-3-642-28997-2_65 | en_US |
dc.source.title | Advances in Information Retrieval, 34th European Conference on IR Research, ECIR 2012, Barcelona, Spain, April 1-5, 2012 | en_US |
dc.subject | Extraction accuracy | en_US |
dc.subject | Extraction algorithms | en_US |
dc.subject | General model | en_US |
dc.subject | Lazy learning | en_US |
dc.subject | On-machines | en_US |
dc.subject | Test instances | en_US |
dc.subject | Web information extraction | en_US |
dc.subject | Algorithms | en_US |
dc.subject | Information retrieval | en_US |
dc.title | In praise of laziness: A lazy strategy for web information extraction | en_US |
dc.type | Conference Paper | en_US |
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