Document classification

Results: 887



#Item
831Information science / Statistics / Data mining / Content management systems / Data management / H5 / Document classification / Statistical classification / Information governance / Machine learning / Science / Information

PDF Document

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Source URL: www.h5.com

Language: English - Date: 2012-08-01 16:21:19
832Statistics / Statistical classification / Database management systems / Natural language processing / Searching / Naive Bayes classifier / Document retrieval / Database / Search engine indexing / Information science / Information retrieval / Science

QProber: A System for Automatic Classification of Hidden-Web Databases LUIS GRAVANO and PANAGIOTIS G. IPEIROTIS Columbia University and MEHRAN SAHAMI

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Source URL: qprober.cs.columbia.edu

Language: English - Date: 2013-03-14 11:23:17
833Natural language processing / Searching / Data mining / Database theory / Database / Document retrieval / Document classification / Search engine indexing / Full text search / Information science / Science / Information retrieval

When one Sample is not Enough: Improving Text Database Selection Using Shrinkage Panagiotis G. Ipeirotis Computer Science Department Columbia University [removed]

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Source URL: qprober.cs.columbia.edu

Language: English - Date: 2013-03-14 11:23:17
834Web crawler / Invisible Web / Database / Precision and recall / Distributed web crawling / Search engine indexing / Web query classification / Document classification / Information science / Information retrieval / Information

Query- vs. Crawling-based Classification of Searchable Web Databases 1 Luis Gravano

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Source URL: qprober.cs.columbia.edu

Language: English - Date: 2013-03-14 11:23:16
835Canadian Council of Ministers of the Environment / Environment of Canada

Audit NCS and CCME, Environment Canada FCSAAP Contaminated Site Classification Guidance document VALUE: $29,000

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Source URL: www.franzenvironmental.com

Language: English - Date: 2012-09-29 22:57:31
836Machine learning / Information science / Statistical classification / Data mining / Natural language processing / Document classification / Classification rule / Co-training / Classifier / Statistics / Science / Artificial intelligence

Learning to classify documents according to genre Aidan Finn and Nicholas Kushmerick Smart Media Institute, Department of Computer Science, University College Dublin {aidan.finn, nick}@ucd.ie Abstract

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Source URL: www.aidanf.net

Language: English - Date: 2012-10-19 19:38:36
837Natural language processing / Information retrieval / Machine learning / Data mining / Document classification / Subject / Precision and recall / Statistical classification / Recommender system / Science / Information science / Information

Learning to classify documents according to genre Aidan Finn and Nicholas Kushmerick Smart Media Institute, Department of Computer Science, University College Dublin {aidan.finn, nick}@ucd.ie  

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Source URL: www.aidanf.net

Language: English - Date: 2012-10-19 19:38:49
838Knowledge representation / Metadata / Cataloging / AACR2 / Library classification / Document / Library / Resource / Bibliographic control / Information / Library science / Data

Microsoft Word - ercatpu.doc

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Source URL: library.princeton.edu

Language: English - Date: 2008-04-18 14:35:52
839File system / Computer file / Data file / Tar / Portable Document Format / Attrib / Random number generation / Computing / Software / Computer file formats

SCOWLP update: 3D classification of protein-protein, -peptide, -saccharide and -nucleic acid interactions, and structure-based binding inferences across folds

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Source URL: www.ncbi.nlm.nih.gov

Language: English
840Frank Hawthorne / Geology / American Mineralogist / International Mineralogical Association

The New IMA List of Minerals – A Work in Progress – Updated: March 2014 In the following pages of this document a comprehensive list of all valid mineral species is presented. The list is distributed (for terms and conditions see below) via the web site of the Commission on New Minerals, Nomenclature and Classification of the International Mineralogical Association, which is the

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Source URL: pubsites.uws.edu.au

Language: English - Date: 2014-03-16 19:36:39
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