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20220115053601.0 |
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100707s2010 gw | s |||| 0|eng d |
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|a 9783642145568
|9 978-3-642-14556-8
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|a 10.1007/978-3-642-14556-8
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|a 006.312
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|a Focused Retrieval and Evaluation
|h [electronic resource] :
|b 8th International Workshop of the Initiative for the Evaluation of XML Retrieval, INEX 2009, Brisbane, Australia, December 7-9, 2009, Revised and Selected Papers /
|c edited by Shlomo Geva, Jaap Kamps, Andrew Trotman.
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|a 1st ed. 2010.
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|a Berlin, Heidelberg :
|b Springer Berlin Heidelberg :
|b Imprint: Springer,
|c 2010.
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|a XII, 466 p. 59 illus.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
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|a text file
|b PDF
|2 rda
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1 |
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|a Information Systems and Applications, incl. Internet/Web, and HCI ;
|v 6203
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| 505 |
0 |
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|a Invited -- Is There Something Quantum-Like about the Human Mental Lexicon? -- Supporting for Real-World Tasks: Producing Summaries of Scientific Articles Tailored to the Citation Context -- Semantic Document Processing Using Wikipedia as a Knowledge Base -- Ad Hoc Track -- Overview of the INEX 2009 Ad Hoc Track -- Analysis of the INEX 2009 Ad Hoc Track Results -- ENSM-SE at INEX 2009 : Scoring with Proximity and Semantic Tag Information -- LIP6 at INEX'09: OWPC for Ad Hoc Track -- A Methodology for Producing Improved Focused Elements -- ListBM: A Learning-to-Rank Method for XML Keyword Search -- UJM at INEX 2009 Ad Hoc Track -- Language Models for XML Element Retrieval -- Use of Language Model, Phrases and Wikipedia Forward Links for INEX 2009 -- Parameter Tuning in Pivoted Normalization for XML Retrieval: ISI@INEX09 Adhoc Focused Task -- Combining Language Models with NLP and Interactive Query Expansion -- Exploiting Semantic Tags in XML Retrieval -- Book Track -- Overview of the INEX 2009 Book Track -- XRCE Participation to the 2009 Book Structure Task -- The Book Structure Extraction Competition with the Resurgence Software at Caen University -- Ranking and Fusion Approaches for XML Book Retrieval -- OUC's Participation in the 2009 INEX Book Track -- Efficiency Track -- Overview of the INEX 2009 Efficiency Track -- Index Tuning for Efficient Proximity-Enhanced Query Processing -- TopX 2.0 at the INEX 2009 Ad-Hoc and Efficiency Tracks -- Fast and Effective Focused Retrieval -- Achieving High Precisions with Peer-to-Peer Is Possible! -- Entity Ranking Track -- Overview of the INEX 2009 Entity Ranking Track -- Combining Term-Based and Category-Based Representations for Entity Search -- Focused Search in Books and Wikipedia: Categories, Links and Relevance Feedback -- A Recursive Approach to Entity Ranking and List Completion Using Entity Determining Terms, Qualifiers and Prominent n-Grams -- Interactive Track -- Overview of the INEX 2009 Interactive Track -- Link the Wiki Track -- Overview of the INEX 2009 Link the Wiki Track -- An Exploration of Learning to Link with Wikipedia: Features, Methods and Training Collection -- University of Waterloo at INEX 2009: Ad Hoc, Book, Entity Ranking, and Link-the-Wiki Tracks -- A Machine Learning Approach to Link Prediction for Interlinked Documents -- Question Answering Track -- Overview of the 2009 QA Track: Towards a Common Task for QA, Focused IR and Automatic Summarization Systems -- XML Mining Track -- Overview of the INEX 2009 XML Mining Track: Clustering and Classification of XML Documents -- Exploiting Index Pruning Methods for Clustering XML Collections -- Multi-label Wikipedia Classification with Textual and Link Features -- Link-Based Text Classification Using Bayesian Networks -- Clustering with Random Indexing K-tree and XML Structure -- Utilising Semantic Tags in XML Clustering -- UJM at INEX 2009 XML Mining Track -- BUAP: Performance of K-Star at the INEX'09 Clustering Task -- Extended VSM for XML Document Classification Using Frequent Subtrees -- Supervised Encoding of Graph-of-Graphs for Classification and Regression Problems.
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| 650 |
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|a Data mining.
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| 650 |
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|a Information storage and retrieval systems.
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| 650 |
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|a Database management.
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| 650 |
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|a Application software.
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| 650 |
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|a Information retrieval.
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| 650 |
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|a Computer architecture.
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| 650 |
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|a Artificial intelligence-Data processing.
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| 650 |
1 |
4 |
|a Data Mining and Knowledge Discovery.
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| 650 |
2 |
4 |
|a Information Storage and Retrieval.
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| 650 |
2 |
4 |
|a Database Management.
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| 650 |
2 |
4 |
|a Computer and Information Systems Applications.
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| 650 |
2 |
4 |
|a Data Storage Representation.
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| 650 |
2 |
4 |
|a Data Science.
|
| 700 |
1 |
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|a Geva, Shlomo.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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| 700 |
1 |
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|a Kamps, Jaap.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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| 700 |
1 |
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|a Trotman, Andrew.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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| 710 |
2 |
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|a SpringerLink (Online service)
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| 773 |
0 |
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|t Springer Nature eBook
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| 776 |
0 |
8 |
|i Printed edition:
|z 9783642145551
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| 776 |
0 |
8 |
|i Printed edition:
|z 9783642145575
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| 830 |
|
0 |
|a Information Systems and Applications, incl. Internet/Web, and HCI ;
|v 6203
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| 856 |
4 |
0 |
|u https://doi.uam.elogim.com/10.1007/978-3-642-14556-8
|z Texto Completo
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| 912 |
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|a ZDB-2-SCS
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| 912 |
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|a ZDB-2-SXCS
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| 912 |
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|a ZDB-2-LNC
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| 950 |
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|a Computer Science (SpringerNature-11645)
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| 950 |
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|a Computer Science (R0) (SpringerNature-43710)
|
