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pro vyhledávání: '"Fuhry, David"'
The musiXplora is an interactive and multimodal tool for the domain of musicology, developed in a collaborative and interdisciplinary fashion. It serves as a research environment that, on the one hand, links large data collections on musicians, music
Externí odkaz:
https://ul.qucosa.de/id/qucosa%3A82079
https://ul.qucosa.de/api/qucosa%3A82079/attachment/ATT-0/
https://ul.qucosa.de/api/qucosa%3A82079/attachment/ATT-0/
Autor:
Fuhry, David P.
Making sense of, analyzing, and extracting useful information from large and complex data is a grand challenge. A user tasked with meeting this challenge is often befuddled with questions on where and how to begin to understand the relevant character
Externí odkaz:
http://rave.ohiolink.edu/etdc/view?acc_num=osu1440431146
Autor:
Fuhry, David P.
Recent interest in solving the skyline query differs from decades-earlier work on the equivalent maximum vector problem in that the queried dataset is no longer assumed to fit into main memory. Given a set of points P and a set of query points Q, the
Externí odkaz:
http://rave.ohiolink.edu/etdc/view?acc_num=kent1208562156
In this paper we discuss a very simple approach of combining content and link information in graph structures for the purpose of community discovery, a fundamental task in network analysis. Our approach hinges on the basic intuition that many network
Externí odkaz:
http://arxiv.org/abs/1212.0146
Two prevailing theories for explaining social group or community structure are cohesion and identity. The social cohesion approach posits that social groups arise out of an aggregation of individuals that have mutual interpersonal attraction as they
Externí odkaz:
http://arxiv.org/abs/1212.0141
Autor:
Liang, Jiongqian, Fuhry, David, Maung, David, Borstad, Alexandra, Crawfis, Roger, Gauthier, Lynne, Nandi, Arnab, Parthasarathy, Srinivasan
Publikováno v:
ACM International Conference Proceeding Series; 4/11/2016, p67-76, 10p
Publikováno v:
2015 IEEE 31st International Conference on Data Engineering; 2015, p1071-1082, 12p
Publikováno v:
User Community Discovery; 2015, p23-54, 32p
Akademický článek
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Publikováno v:
Advances in Knowledge Discovery & Data Mining (9783642302169); 2012, p505-516, 12p