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Managing Discoveries in The Visual Analytics Process ∗ Di Yang, Zaixian Xie, Elke A. Rundensteiner and Matthew O. Ward Worcester Polytechnic Institute {diyang|xiezx|rundenst|matt}@cs.wpi.edu ABSTRACT
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Document Date: 2007-11-26 11:07:55


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City

Nugget / /

Company

ABC / /

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Facility

Matthew O. Ward Worcester Polytechnic Institute / /

IndustryTerm

data mining techniques / sample pattern detection algorithms / visualization systems / nugget refinement solution / generalized bfos algorithm / multivariate visualization systems / association rule mining / nugget combination solution / pattern detection algorithms / Automatic mining / generic clustering algorithm / knowledge mining techniques clustering / web using knowledge annotation / population-insensitive algorithm / gas price / freeware tool / integrated analytical services / well known algorithm / analytical tools / average gas prices / Data mining algorithms / data mining field / cost algorithm / generic clustering algorithms / search engine / Visual data mining / /

Organization

National Science Foundation / Worcester Polytechnic Institute / Los Alamitos CA / IEEE Computer Society / /

Person

O. Ward Worcester / W. Ribarsky / J. Yang / Elke A. Rundensteiner / D. Hubball / M. Ward / E. Rundensteiner / Matthew O. Ward / /

Position

Multidimensional detective / analyst / /

ProvinceOrState

Massachusetts / /

PublishedMedium

IEEE Transactions on Information Theory / Computer Graphics / /

Technology

cost algorithm / XML / MDS algorithm / generic clustering algorithm / well known algorithm / pattern detection algorithms / proposed algorithm / clustering algorithms / mining algorithm / Data mining algorithms / density-based algorithm / generalized bfos algorithm / data mining / search engine / generic clustering algorithms / population-insensitive algorithm / sample pattern detection algorithms / /

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