Using Mandatory Concepts for Knowledge Discovery and Data Structuring
المؤلف | Elloumi, Samir |
المؤلف | Ben Yahia, Sadok |
المؤلف | Al Ja'am, Jihad |
تاريخ الإتاحة | 2020-08-18T08:34:45Z |
تاريخ النشر | 2019 |
اسم المنشور | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
المصدر | Scopus |
الرقم المعياري الدولي للكتاب | 3029743 |
الملخص | A data scientist could apply several machine learning approaches in order to discover valuable knowledge from the data. While applying several techniques, he might discover that some pieces of knowledge are invariant, what ever the technique he used. We consider such knowledge as mandatory concepts, i.e., unavoidable knowledge to be discovered. As interesting property, a mandatory concept is characterized by a non-shared isolated point, that relates pieces of data, e.g., an object to a property, a document to specific words, an image to a specific topic, etc. Hence, the isolated points allow to make the distinction between the concepts. In this paper, we present a new approach for mandatory concepts extraction by making a level-based properties composition. Hence, the N-Composites isolated points are identified and constitute a key element for mandatory concept localization. We experiment our new algorithm by considering the coverage quality metrics. - 2019, Springer Nature Switzerland AG. |
راعي المشروع | This work was made possible by the NPRP grant #10-0205-170346 from the QNRF (Qatar) and to the Astra funding program Grant 2014-2020.4.01.16-032. |
اللغة | en |
الناشر | Springer |
الموضوع | Conceptual coverage Mandatory formal concepts N-Composites isolated points |
النوع | Conference Paper |
الصفحات | 362-375 |
رقم المجلد | 11707 LNCS |
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