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dc.contributor.authorChiang, Katherine
dc.description.abstractData 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.sponsorshipIATUL 2010; This material is based upon work supported by the National Science Foundation under Grant No. III-0712989en_US
dc.subjectData Miningen_US
dc.subjectData Fusionen_US
dc.titleData Mining, Data Fusionen_US

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