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DSpace-CRIS consists of a data model describing objects of interest to Research and Development and a set of tools to manage the data. Standard DSpace is used to deal with publications and data sets, whereas DSpace-CRIS involves other CRIS entities: Researcher Pages, Projects, Organization Units and Second Level Dynamic Objects (single entities specialized by a profile, such as Journal, Prize, Event etc; because any profile can define its own set of properties and nested objects)
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http://hdl.handle.net/11455/60271| 標題: | (1997 IEEE International Conference on Neural Networks,p1612-p1616)Genetic Algorithms for Clustering,Feature Selection and Classification | 作者: | L.Y. Tseng S.B. Yang |
關鍵字: | Genetic Algorithms;Clustering;Feature Selection;Classification | Project: | 1997 IEEE International Conference on Neural Networks, Page(s) 1612-1616. | URI: | http://hdl.handle.net/11455/60271 |
| Appears in Collections: | 資訊網路與多媒體研究所 |
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