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Integrating Data Mining and Data Management Technologies for Scholarly Inquiry | … funded by JISC and IMLS

Integrating Data Mining and Data Management Technologies for Scholarly Inquiry. 8230; funded by JISC and IMLS. For “Digging Into Data Challenge” homepage, click HERE. In this 17-month project we go beyond this basic analysis by providing a prototype system developed to provide expert system support to scholars in their work. This system will integrate large-scale collections including JSTOR. And the books collections of the Internet Archive. Our project aims to:. Our approach is to apply text and data mi...

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Integrating Data Mining and Data Management Technologies for Scholarly Inquiry | … funded by JISC and IMLS | diggingintodata.web.unc.edu Reviews

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Integrating Data Mining and Data Management Technologies for Scholarly Inquiry. 8230; funded by JISC and IMLS. For “Digging Into Data Challenge” homepage, click HERE. In this 17-month project we go beyond this basic analysis by providing a prototype system developed to provide expert system support to scholars in their work. This system will integrate large-scale collections including JSTOR. And the books collections of the Internet Archive. Our project aims to:. Our approach is to apply text and data mi...

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Integrating Data Mining and Data Management Technologies for Scholarly Inquiry | … funded by JISC and IMLS | diggingintodata.web.unc.edu Reviews

https://diggingintodata.web.unc.edu

Integrating Data Mining and Data Management Technologies for Scholarly Inquiry. 8230; funded by JISC and IMLS. For “Digging Into Data Challenge” homepage, click HERE. In this 17-month project we go beyond this basic analysis by providing a prototype system developed to provide expert system support to scholars in their work. This system will integrate large-scale collections including JSTOR. And the books collections of the Internet Archive. Our project aims to:. Our approach is to apply text and data mi...

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diggingintodata.web.unc.edu

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Work Packages | Integrating Data Mining and Data Management Technologies for Scholarly Inquiry

http://diggingintodata.web.unc.edu/work-packages

Integrating Data Mining and Data Management Technologies for Scholarly Inquiry. 8230; funded by JISC and IMLS. WP 1: Project management. Duration: 17 months. Lead: UNC. WP2: Establishing requirements and developing the model. Duration: 3 months. Lead: UNC. WP3: Accession and archiving of datasets. Duration: 8 months. Lead: Liverpool. WP4: Design and build of expert context system. Duration: 12 months. Lead: UCB. The WP will build an expert context system (self-service reference) based on the integration ...

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Description | Integrating Data Mining and Data Management Technologies for Scholarly Inquiry

http://diggingintodata.web.unc.edu/description

Integrating Data Mining and Data Management Technologies for Scholarly Inquiry. 8230; funded by JISC and IMLS. Documents or terms within those documents). Our approach is to apply text and data mining algorithms and implementations that take advantage of the integrated digital library and data grid infrastructure. These include established clustering and association rule mining procedures for document clustering and classification, including:. This will manage reasoning on attributes inferred about a col...

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Presentations | Integrating Data Mining and Data Management Technologies for Scholarly Inquiry

http://diggingintodata.web.unc.edu/presentations

Integrating Data Mining and Data Management Technologies for Scholarly Inquiry. 8230; funded by JISC and IMLS. 8220;The Digging into Data Challenge: A Roundtable Discussion” at the 2012 JCDL Conference, June 12, Washington, DC, http:/ jcdl2012.info/panels#anchortwo. 8220;Integrating Data Mining and Data Management Technologies for. Scholarly Inquiry”, Ray Larson, Paul Watry, Richard Marciano, Oct. 12, 2013, Montreal, final round 2 DID Challenge conference. See: SLIDES. Proudly powered by WordPress.

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Big Datasets | Integrating Data Mining and Data Management Technologies for Scholarly Inquiry

http://diggingintodata.web.unc.edu/contribution-to-program

Integrating Data Mining and Data Management Technologies for Scholarly Inquiry. 8230; funded by JISC and IMLS. The project outcomes focus on the design of services for efficient and effective self-help, extending the traditional role of librarians to select and organize resources. The automation of this on scaled data (as we have proposed) is key, as it will greatly extend the range and type of resources relevant to scholarly inquiry. The following describes the datasets used:. Our approach supports new ...

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Partners | Integrating Data Mining and Data Management Technologies for Scholarly Inquiry

http://diggingintodata.web.unc.edu/partners

Integrating Data Mining and Data Management Technologies for Scholarly Inquiry. 8230; funded by JISC and IMLS. The project partners are:. The University of Liverpool. The University of California Berkeley. United States), and. The University of North Carolina Chapel Hill. The research teams have had over a decade of experience in jointly developing the proposed technologies through multiple European and American initiatives. The principals are:. North Carolina) and Chien-Yi Hou. Which extracts entities f...

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ci-ber.blogspot.com

CI-BER: CyberInfrastructure for Billions of Electronic Records: February 2013

http://ci-ber.blogspot.com/2013_02_01_archive.html

CI-BER: CyberInfrastructure for Billions of Electronic Records. Funded through the NSF/DIBBs "Brown Dog" project, a $10.5M 5-year collaboration between NCSA and the U. Maryland (2014-2018). Comment and Posting Policy. Monday, February 11, 2013. Data Control: Then and Now. Alistair Croll was not referring to the historic uprooting of Asheville’s Southside neighborhood when he said, “. Data doesn’t invade people’s lives. Lack of control over how it’s used does. But he could have been. Priscillia Ndiaye, bo...

ci-ber.blogspot.com

CI-BER: CyberInfrastructure for Billions of Electronic Records: Socializing Big Data: Collaborative Opportunities in Computer Science, the Social Sciences, and the Humanities

http://ci-ber.blogspot.com/2013/02/last-month-at-franklin-humanities.html

CI-BER: CyberInfrastructure for Billions of Electronic Records. Funded through the NSF/DIBBs "Brown Dog" project, a $10.5M 5-year collaboration between NCSA and the U. Maryland (2014-2018). Comment and Posting Policy. Friday, February 1, 2013. Socializing Big Data: Collaborative Opportunities in Computer Science, the Social Sciences, and the Humanities. Richard is a professor in the School of Information and Library Science. And co-director of the Digital Innovation Lab (DIL). Of it Now what? Richard sta...

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Welcome to Digging Into Data | Digging Into Data

Skip to main content. Winners of Round Four. T-AP Announces the 14 Winners of Round Four of the International Competition. Seven DiD Projects Featured at IEEE Big Data Conference. Seven papers written by Digging into Data Challenge PIs will be presented at the 2014 IEEE International Conference on Big Data held in Bethesda, MD on October 27, 2014. One Culture: Computationally Intensive Research in the Humanities and Social Sciences. Award Updates / Recent Press. Digging into Data Resources. Article in Th...

diggingintodata.web.unc.edu

Integrating Data Mining and Data Management Technologies for Scholarly Inquiry | … funded by JISC and IMLS

Integrating Data Mining and Data Management Technologies for Scholarly Inquiry. 8230; funded by JISC and IMLS. For “Digging Into Data Challenge” homepage, click HERE. In this 17-month project we go beyond this basic analysis by providing a prototype system developed to provide expert system support to scholars in their work. This system will integrate large-scale collections including JSTOR. And the books collections of the Internet Archive. Our project aims to:. Our approach is to apply text and data mi...

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