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Call for papers:

 
 

 

 
 

Formal concept analysis (FCA) is a mathematical tool for analyzing data and formally representing conceptual knowledge. FCA helps forming conceptual structures from data. Such structures consist of units, which are formal abstractions of concepts of human thought allowing meaningful and comprehensible interpretation. FCA is a mathematical discipline whose features include:
1-Visualizing inherent properties in data sets,
2- Interactively exploring attributes of objects and their corresponding contexts, and
3- Formally classifying systems based on relationships among objects and attributes through the concept of mathematical lattices.
As an aside, FCA mathematical settings have recently been shown to provide a theoretical framework for the efficient resolution of many practical problems from data mining, software engineering and information retrieval.

CLA is an international conference devoted to both theoretical and applicational aspects of formal concept analysis (FCA). Papers in the above areas of interest are solicited:
foundations of FCA
mathematical structures related to FCA (concept lattices, Galois connections, closure structures, attribute implications)
algorithms for FCA
relationship of FCA to other methods of data analysis (clustering, association rules, classification, etc.)
visualization of data in FCA
data for FCA (object-attribute data, preprocessing of data, conceptual scaling, fuzzy attributes, etc.)
applications of FCA (knowledge discovery, data mining, information retrieval, ontology, semantic web, etc.)
Other related areas

All papers will be judged based on their technical merits, originality, relevance to areas of interest of CLA 2006, and presentation clarity. Papers should describe original work that has not been published before, is not under review elsewhere, and will not be submitted elsewhere during CLA 2006's review period.


 

 
     
     
 
   
 
  Faculté des Sciences de Tunis

  

 
 
 
 
 

 
 

: :CLA 2006:: Last Update : 09/23/2006