Use of eCommons for rapid dissemination of COVID-19 research
In order to maximize the discoverability of COVID-19 research, and to conform with repository best practices and the requirements of publishers and research funders, we provide special guidance for COVID-19 submissions.
Data Mining, Data Fusion
|dc.description.abstract||Data mining and data fusion are two complementary approaches to processing dynamic, large and/or heterogeneous data. They are already used in various research disciplines and real‐world applications and that use will grow. This presentation describes and defines these approaches using examples, and suggests possible services and applications by libraries.||en_US|
|dc.description.sponsorship||IATUL 2010; This material is based upon work supported by the National Science Foundation under Grant No. III-0712989||en_US|
|dc.title||Data Mining, Data Fusion||en_US|