[Auto Generated] Introduction 2 Literature Review 3 Methodology 5 Results 9 Conclusion 11 References 13 Appendix A, Survey Responses 14 Appendix B, Codebook 18 Traditional paper reserve readings are being digitized an...
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[Auto Generated] Introduction 2 Literature Review 3 Methodology 5 Results 9 Conclusion 11 References 13 Appendix A, Survey Responses 14 Appendix B, Codebook 18 Traditional paper reserve readings are being digitized and made accessible to students through computer networks, including the Internet. This involves a great deal of effort in developing and maintaining the systems. The material must be scanned, cleaned up, made available on a network, arranged and cataloged for easy access, and the com
[Auto Generated] Introduction to DAAPPP 1 DAAPPP Advisory Panel 4 DAAPPP Data Sets 5 Comprehensive Archive and Related Products 47 Index of Data Sets by Original Investigator 49 Index of Data Sets by Key Word 53 NATAS...
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[Auto Generated] Introduction to DAAPPP 1 DAAPPP Advisory Panel 4 DAAPPP Data Sets 5 Comprehensive Archive and Related Products 47 Index of Data Sets by Original Investigator 49 Index of Data Sets by Key Word 53 NATASHA 73 Special Products: Teen Pregnancy 75 Special Products: Health 81 Order Form 85 AND PREGNANCY PREVENTION The Data Archive on Adolescent Pregnancy and Pregnancy Prevention (DAAPPP) is a collection of social science Data Sets on topics related to teenage pregnancy and family danni
[Auto Generated] Introduction 1 Accessing the COMPNY Library 1 Searching for a Company 3 Group Records 4 Displaying Search Results 7 Printing and Downloading 8 Refining Search Strategy 9 Additional Groups or Files 9 G...
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[Auto Generated] Introduction 1 Accessing the COMPNY Library 1 Searching for a Company 3 Group Records 4 Displaying Search Results 7 Printing and Downloading 8 Refining Search Strategy 9 Additional Groups or Files 9 Group Files 10 Commands and Function Keys 10 Please read this guide carefully before you use the database. This guide is designed to walk users of the LEXISINEXIS system through the steps needed to access the Compny library. It covers the contents of files, explains how to search the
[Auto Generated] Cook Report on the Internet Y Coptnet Y Current Cites Y (1) Y (1) Distance Education Online Symposium Y Droplet Y EJournal Y (3) Y (3) Electronic Journal of Differential Equations Y (2) Electronic Let...
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[Auto Generated] Cook Report on the Internet Y Coptnet Y Current Cites Y (1) Y (1) Distance Education Online Symposium Y Droplet Y EJournal Y (3) Y (3) Electronic Journal of Differential Equations Y (2) Electronic Letter:, Online Electronic Transactions in Numerical Analysis Y Y 18 FINS (Federal Information News Syndicate) Hindu Digest Holy Temple of Mass Consumption INN (Information Networking News) Information Technology & Disabilities Interpersonal Computing & Technology Journal Y (1) Y (1) I
Historically, co-citation models have been based only on bibliographic information. full-text analysis offers the opportunity to significantly improve the quality of the signals upon which these co-citation models are...
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Historically, co-citation models have been based only on bibliographic information. full-text analysis offers the opportunity to significantly improve the quality of the signals upon which these co-citation models are based. In this work we study the effect of reference proximity on the accuracy of co-citation clusters. Using a corpus of 270,521 fulltext documents from 2007, we compare the results of traditional co-citation clustering using only the bibliographic information to results from co-citation clustering where proximity between reference pairs is factored into the pairwise relationships. We find that accounting for reference proximity from fulltext can increase the textual coherence (a measure of accuracy) of a co-citation cluster solution by up to 30% over the traditional approach based on bibliographic information.
We propose a new hybrid clustering framework to incorporate text mining with bibliometrics in journal set analysis. The framework integrates two different approaches: clustering ensemble and kernel-fusion clustering. ...
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We propose a new hybrid clustering framework to incorporate text mining with bibliometrics in journal set analysis. The framework integrates two different approaches: clustering ensemble and kernel-fusion clustering. To improve the flexibility and the efficiency of processing large-scale data, we propose an information-based weighting scheme to leverage the effect of multiple data sources in hybrid clustering. Three different algorithms are extended by the proposed weighting scheme and they are employed on a large journal set retrieved from the Web of Science (WoS) database. The clustering performance of the proposed algorithms is systematically evaluated using multiple evaluation methods, and they were cross-compared with alternative methods. Experimental results demonstrate that the proposed weighted hybrid clustering strategy is superior to other methods in clustering performance and efficiency. The proposed approach also provides a more refined structural mapping of journal sets, which is useful for monitoring and detecting new trends in different scientific fields.
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