| 书目名称 | Formal Concept Analysis | | 副标题 | 6th International Co | | 编辑 | Raoul Medina,Sergei Obiedkov | | 视频video | | | 丛书名称 | Lecture Notes in Computer Science | | 图书封面 |  | | 描述 | Formal Concept Analysis (FCA) is a mathematical theory of concepts and c- ceptualhierarchyleadingtomethodsforconceptuallyanalyzingdataandkno- edge. The theoryitselfstronglyreliesonorderandlatticetheory,whichhasbeen studied by mathematicians over decades. FCA proved itself highly relevant in several applications from the beginning, and, over the last years, the range of applicationshaskeptgrowing. The mainreasonfor this comesfromthe fact that our modern society has turned into an “information” society. After years and years of using computers, companies realized they had stored gigantic amounts of data. Then, they realized that this data, just rough information for them, might become a real treasure if turned into knowledge. FCA is particularly well suited for this purpose. From relational data, FCA can extract implications, - pendencies, concepts and hierarchies of concepts, and thus capture part of the knowledge hidden in the data. The ICFCA conference series gathers researchers from all over the world, being the main forum to present new results in FCA and related ?elds. These results range from theoretical novelties to advances in FCA-related algorithmic issues, as well as appli | | 出版日期 | Conference proceedings 2008 | | 关键词 | Analysis; DOM; algorithms; knowledge management; learning; machine learning; visualization | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-540-78137-0 | | isbn_softcover | 978-3-540-78136-3 | | isbn_ebook | 978-3-540-78137-0Series ISSN 0302-9743 Series E-ISSN 1611-3349 | | issn_series | 0302-9743 | | copyright | Springer-Verlag Berlin Heidelberg 2008 |
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发表于 2025-3-21 17:54:22
