Abstract. The development of information systems follows a long and complex process in which various actors are involved. We report an ex-periment in which we observe the evolution of the analysis model of an information system through 15 successive versions. We use indicators on the underlying concept lattices built by applying Relational Concept Analysis (RCA) to each version. RCA is an extension of FCA which groups entities based on characteristics they share, including links to other entities. It here helps in analyzing their evolution. From this expe-rience, we establish recommendations to monitor and verify the proper evolution of the analysis process
International audienceMany applications of Formal Concept Analysis (FCA) and its diverse extensions ...
International audienceSymbolic objects were originally intended to bring both more structure in data...
International audienceFormal Concept Analysis (FCA) and its associated conceptual structures are use...
International audienceThe development of information systems follows a long and complex process in w...
International audienceThe development of information systems follows a long and complex process in w...
Abstract. During the design of class models for information systems, databases or programming, exper...
International audienceThe processing of complex data is admittedly among the major concerns of knowl...
International audienceFormal Concept Analysis (FCA) is a data analysis framework which extracts a la...
International audienceRecent advances in data and knowledge engineering have emphasized the need for...
In this tutorial, we introduce Relational Concept Analysis (RCA) with simple examples. We present to...
International audienceMost of available data are inherently relational, with e.g. temporal, spatial,...
International audienceFormal Concept Analysis (FCA) aims at classifying a set of objects described b...
International audienceRelational Concept Analysis (RCA) is an extension of Formal Concept Analysis (...
International audienceMany applications of Formal Concept Analysis (FCA) and its diverse extensions ...
International audienceSymbolic objects were originally intended to bring both more structure in data...
International audienceFormal Concept Analysis (FCA) and its associated conceptual structures are use...
International audienceThe development of information systems follows a long and complex process in w...
International audienceThe development of information systems follows a long and complex process in w...
Abstract. During the design of class models for information systems, databases or programming, exper...
International audienceThe processing of complex data is admittedly among the major concerns of knowl...
International audienceFormal Concept Analysis (FCA) is a data analysis framework which extracts a la...
International audienceRecent advances in data and knowledge engineering have emphasized the need for...
In this tutorial, we introduce Relational Concept Analysis (RCA) with simple examples. We present to...
International audienceMost of available data are inherently relational, with e.g. temporal, spatial,...
International audienceFormal Concept Analysis (FCA) aims at classifying a set of objects described b...
International audienceRelational Concept Analysis (RCA) is an extension of Formal Concept Analysis (...
International audienceMany applications of Formal Concept Analysis (FCA) and its diverse extensions ...
International audienceSymbolic objects were originally intended to bring both more structure in data...
International audienceFormal Concept Analysis (FCA) and its associated conceptual structures are use...