Titlebook: ;

BLAZE

涂掉

https://doi.org/10.1007/978-3-8349-7165-4 develop an enhanced algorithm that also generates the LEAD layers. The resulting layered FCA lattice shows a way to discover the hitherto hidden insights in LEAD, including the relationship between business and information technology.

苦涩

https://doi.org/10.1007/978-3-662-55124-0theoretical foundations to detect and quantify conceptual errors in data scalings; b) an experimental investigation of our approach on eleven data sets that were respectively treated with a variant of non-negative matrix factorization.

Myofibrils

小虫

https://doi.org/10.1007/978-3-658-44250-7 to identify building elements that may contain asbestos and those that are asbestos-free. The experiments conducted on an RDF graph provided by the CSTB show that the proposed approach is promising and a satisfactory accuracy can be obtained.

Negotiate

On the Use of FCA Models in Static Analysis Tools to Detect Common Errors in Programmings related to design by considering two scenarios that tackle object oriented design and increased code complexity. We argue how the results can be used to understand common mistakes and to improve the teaching content and methods.

大厅

Generating Layered Enterprise Architectures with Conceptual Structures develop an enhanced algorithm that also generates the LEAD layers. The resulting layered FCA lattice shows a way to discover the hitherto hidden insights in LEAD, including the relationship between business and information technology.

刚毅

Quantifying the Conceptual Error in Dimensionality Reductiontheoretical foundations to detect and quantify conceptual errors in data scalings; b) an experimental investigation of our approach on eleven data sets that were respectively treated with a variant of non-negative matrix factorization.

中世纪

Random Generation of a Locally Consistent Spatio-Temporal Graphhe graph generator. The approach is precisely described and some experiences are detailed. Our final objective is to build a generator allowing to generate test bases that can be used to highlight the advantages and disadvantages of graph extraction methods.

dragon

Mining Contextual Rules to Predict Asbestos in Buildings to identify building elements that may contain asbestos and those that are asbestos-free. The experiments conducted on an RDF graph provided by the CSTB show that the proposed approach is promising and a satisfactory accuracy can be obtained.