Feature-to-CodeTraceability in a Collection of Product Variants Using Formal Concept Analysis and Information Retrieval

Our test data are composed of three lists of genes corresponding to the so-called “Cancer Module 1” (Ovary Genes), “Cancer Module 2” (Dorsal Root Ganglia Genes), and “Cancer

3: Interpolated precision in 11 points of recall Table 4 reports the results in 8 measures for ip-CL4IR, a reported CL4IR system called concept lattice-based ranking (CLR) [2] and

A Unified Approach to Biclustering Based on Formal Concept Analysis and Interval Pattern Structures.. Nyoman Juniarta, Miguel Couceiro,

A recent exam- ple is of the Broad Institute where biological data were gathered from multiple resources to get thousands of predefined gene sets stored in the Molecular Signa-

Bridging DBpedia Categories and DL-Concept Definitions using Formal Concept Analysis.. Mehwish Alam, Aleksey Buzmakov, Victor Codocedo,

Using equivalence relations de- fined for each single column, we are able to translate the bicluster mining problem in terms of the partition pattern structure framework.. We show

An evaluation on the 9 matching tasks of OAEI Knowledge Graph Track shows that our system obtains the highest recall in class, property, instance, and over- all matching over the

Practically, we restrict our attention to formal concepts whose simplified extent or class-origin extent contains exactly two strings or classes across ontologies, and ex- tract