http://www.bibsonomy.org/rss/tag/fcaBibSonomy RSS Feed for /tag/fcahttp://www.math.tu-dresden.de/~ganter/fca/sdo2011-12-14T11:09:56+01:00fca ganter latex style http://www.wordle.net/show/wrdl/4350942/Formal_Concept_Analysisjaeschke2011-11-04T11:14:23+01:00analysis concept fca formal icfca wordle https://moodle.uni-kassel.de/moodle/course/view.php?id=987sdo2011-11-03T11:33:50+01:002011 fca kde kurs moodle myown teaching IOSPress: Scientific, Technical Medical Publisherhttp://www.iospress.nl/loadtop/load.php?isbn=9781607507079jaeschke2011-01-31T15:35:10+01:00bibsonomy collaborative diss fca folksonomy myown recommender tag tagging IOSPress: Scientific, Technical Medical PublisherDocumentation of Conexp including the file import and export formatshttp://conexp.sourceforge.net/users/documentation/index.html#Saving+a+documentsdo2010-12-19T17:26:48+01:00ConExp Conexp conexp documentation doku export fca file import lattice program software Documentation of Conexp including the file import and export formatsLiteraturliste von Uta Priss mit relevanten Veröffentlichungen zu FCAhttp://www.upriss.org.uk/fca/cache1.htmlsdo2010-12-14T17:18:00+01:00analysis concept fba fca formal list literature Literaturliste von Uta Priss mit relevanten Veröffentlichungen zu FCAhttp://www.kotonoba.net/rubyfca/sac2010-12-12T22:02:43+01:00fca ruby Formal Concept Analysis is a method of conceptual knowledge representation and data analysis.http://www.upriss.org.uk/fca/fcasoftware.htmlsac2010-12-10T21:21:55+01:00examples fca Formal Concept Analysis is a method of conceptual knowledge representation and data analysis.9th International Conference on Formal Concept Analysishttp://www.unic.ac.cy/icfca2011/sdo2010-10-21T16:29:17+02:002011 cfp conference fca icfca 9th International Conference on Formal Concept AnalysisConference: Concept lattices and their applicationshttp://www.glc.us.es/cla2010/sdo2010-10-21T12:41:29+02:002010 cfp cla conference fca myAttendeds Conference: Concept lattices and their applicationsDie Online Proceedings der cla 2008http://sunsite.informatik.rwth-aachen.de/Publications/CEUR-WS/Vol-433/sdo2010-05-15T18:06:23+02:002008 cla conference fca Die Online Proceedings der cla 2008http://cs.gmu.edu/~carlotta/SDM10Forum/posters/alqadah.pdfobj2010-04-29T06:52:46+02:00applications clustering fca networks [到上層目錄]http://www.knu.edu.tw/lecture/教學資料/Formal concept analysis/obj2010-04-29T06:43:08+02:00fca links [到上層目錄]http://www2.ee.kth.se/conferences/cpsweek2010/PDF/ICCPS/p50-tan.pdfobj2010-04-23T10:08:43+02:00applications fca The Virtual Museum of the Pacific was developed by the authors and launched by the Australian Museum in November 2009.http://uow.academia.edu/PeterEklund/Papers/158550/Virtual-Museums-and-Web-based-Digital-Ecosystemsobj2010-04-23T07:17:57+02:00applications fca The Virtual Museum of the Pacific was developed by the authors and launched by the Australian Museum in November 2009.http://www.gymnica.upol.cz/index.php/gymnica/article/view/17/[object Object]obj2010-04-23T07:16:32+02:00applications fca social http://www.cs.ubbcluj.ro/~studia-i/2008-2/06-Varga.pdfobj2010-04-19T08:19:37+02:00db fca software http://mor.nlm.nih.gov:8000/pubs/pdf/2010-amia-gqz.pdfobj2010-04-13T09:30:31+02:00applications bio fca ontologies http://www.archimuse.com/mw2010/papers/eklund/eklund.htmlobj2010-04-07T09:27:11+02:00applications fca museum semanticweb web BACKGROUND: Research confirms that physical activity (PA) is irreplaceable in a healthy and physically active lifestyle. One of the key research questions is what the optimal level of everyday PA for health is and how it should be quantified and interpreted. Formal concept analysis is one possible way of how to assess and describe the level of PA as related to personal data. OBJECTIVE: The main goal of this study was to introduce the method of Formal Concept Analysis (FCA) using data from the ANEWS questionnaire and data from the objective monitoring of a number of steps using the YAMAX SW-701 pedometer. A further aim was to adopt the most appropriate method within the FCA. METHODS: A random sample of 273 males aged 18-69 from selected regional centers participated in the study. RESULTS: The example of daily steps allows for the demonstration of how important it is to select a scale in FCA data analysis. It is better to use an ordinal scale for the daily number of steps (in our example); because, in so doing, we create the attributes that can be ordered (a lower number of steps is also insufficient). CONCLUSIONS: A rough scale produces easier lattice with the general scope of the observed attributes. The smoothing of the scale produces more difficult lattice and makes for more difficult analyses, but gives more detailed results. FCA requires more expertise from a researcher than do &#034;classical&#034; testing statistics, but gives us deeper insight into the examination of the problem. http://gymnica.upol.cz/index.php/gymnica/article/viewArticle/139obj2010-04-03T10:03:40+02:00applications fca health-informatics scaling BACKGROUND: Research confirms that physical activity (PA) is irreplaceable in a healthy and physically active lifestyle. One of the key research questions <span class="info">...<div>BACKGROUND: Research confirms that physical activity (PA) is irreplaceable in a healthy and physically active lifestyle. One of the key research questions is what the optimal level of everyday PA for health is and how it should be quantified and interpreted. Formal concept analysis is one possible way of how to assess and describe the level of PA as related to personal data. OBJECTIVE: The main goal of this study was to introduce the method of Formal Concept Analysis (FCA) using data from the ANEWS questionnaire and data from the objective monitoring of a number of steps using the YAMAX SW-701 pedometer. A further aim was to adopt the most appropriate method within the FCA. METHODS: A random sample of 273 males aged 18-69 from selected regional centers participated in the study. RESULTS: The example of daily steps allows for the demonstration of how important it is to select a scale in FCA data analysis. It is better to use an ordinal scale for the daily number of steps (in our example); because, in so doing, we create the attributes that can be ordered (a lower number of steps is also insufficient). CONCLUSIONS: A rough scale produces easier lattice with the general scope of the observed attributes. The smoothing of the scale produces more difficult lattice and makes for more difficult analyses, but gives more detailed results. FCA requires more expertise from a researcher than do &#034;classical&#034; testing statistics, but gives us deeper insight into the examination of the problem. </div></span>