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UID:/NewsandEvents/Archives/2019/newsitem/10928/10
 -August-2019-7th-Workshop-What-can-FCA-do-for-Arti
 ficial-Intelligence-FCA4AI-2019-Macao-China
DTSTAMP:20190530T233115
SUMMARY:7th Workshop "What can FCA do for Artifici
 al Intelligence?" (FCA4AI 2019), Macao, China
DTSTART;VALUE=DATE:20190810
DTEND;VALUE=DATE:20190810
LOCATION:Macao, China
DESCRIPTION:Formal Concept Analysis (FCA) is a mat
 hematically well-founded theory aimed at data anal
 ysis and classification. The six preceding edition
 s of the FCA4AI Workshop (since ECAI 2012 until IJ
 CAI 2018) showed that many researchers working in 
 Artificial Intelligence are interested in FCA as a
  powerful method for classification and mining. FC
 A allows one to build a concept lattice and a syst
 em of dependencies (implications) which can be use
 d for many AI needs. Recent years have been witnes
 sing increased scientific activity around FCA, in 
 particular a strand of work emerged that is aimed 
 at extending the possibilities of FCA w.r.t. knowl
 edge processing, such as work on pattern structure
 s and relational context analysis.  This year, we 
 still have the chance to organize a new edition of
  the workshop in Macao co-located with the IJCAI 2
 019 Conference. The workshop will be dedicated to 
 discuss issues such as  - How can FCA support AI a
 ctivities such as knowledge discovery, knowledge r
 epresentation and reasoning, machine learning, nat
 ural language processing...  - How can FCA be exte
 nded in order to help AI researchers to solve new 
 and complex problems in their domain.  The worksho
 p welcomes submissions in pdf format in Springer's
  LNCS style. Submissions can be: - technical paper
 s not exceeding 12 pages, - system descriptions or
  position papers on work in progress not exceeding
  6 pages.  The workshop will include time for audi
 ence discussion for having a better understanding 
 of the issues, challenges, and ideas being present
 ed.
X-ALT-DESC;FMTTYPE=text/html:<div>\n  <p>Formal Co
 ncept Analysis (FCA) is a mathematically well-foun
 ded theory aimed at data analysis and classificati
 on. The six preceding editions of the FCA4AI Works
 hop (since ECAI 2012 until IJCAI 2018) showed that
  many researchers working in Artificial Intelligen
 ce are interested in FCA as a powerful method for 
 classification and mining. FCA allows one to build
  a concept lattice and a system of dependencies (i
 mplications) which can be used for many AI needs. 
 Recent years have been witnessing increased scient
 ific activity around FCA, in particular a strand o
 f work emerged that is aimed at extending the poss
 ibilities of FCA w.r.t. knowledge processing, such
  as work on pattern structures and relational cont
 ext analysis.</p>\n\n  <p>This year, we still have
  the chance to organize a new edition of the works
 hop in Macao co-located with the IJCAI 2019 Confer
 ence. The workshop will be dedicated to discuss is
 sues such as<br>\n  - How can FCA support AI activ
 ities such as knowledge discovery, knowledge repre
 sentation and reasoning, machine learning, natural
  language processing...<br>\n  - How can FCA be ex
 tended in order to help AI researchers to solve ne
 w and complex problems in their domain.</p>\n</div
 ><div>\n  <p>The workshop welcomes submissions in 
 pdf format in Springer's LNCS style. Submissions c
 an be: - technical papers not exceeding 12 pages, 
 - system descriptions or position papers on work i
 n progress not exceeding 6 pages.</p>\n\n  <p>The 
 workshop will include time for audience discussion
  for having a better understanding of the issues, 
 challenges, and ideas being presented.</p>\n</div>
URL:http://www.fca4ai.hse.ru/2019
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