Knowledge Discovery in Databases Using Formal Concept Analysis
نویسندگان
چکیده
منابع مشابه
Using Formal Concept Analysis in Mathematical Discovery
Formal concept analysis (FCA) comprises a set of powerful algorithms which can be used for data analysis and manipulation, and a set of visualisation tools which enable the discovery of meaningful relationships between attributes of the data. We explore the potential of combining FCA and mathematical discovery tools in order to better facilitate discovery tasks. In particular, we propose a nove...
متن کاملFormal Concept Analysis in Knowledge Discovery: A Survey
In this paper, we analyze the literature on Formal Concept Analysis (FCA) using FCA. We collected 702 papers published between 2003-2009 mentioning Formal Concept Analysis in the abstract. We developed a knowledge browsing environment to support our literature analysis process. The pdf-files containing the papers were converted to plain text and indexed by Lucene using a thesaurus containing te...
متن کاملConceptual Knowledge Discovery in DatabasesUsing Formal Concept Analysis
In this paper we discuss Conceptual Knowledge Discovery in Databases (CKDD) as it is developing in the eld of Conceptual Knowledge Processing (cf. 29],,30]). Conceptual Knowledge Processing is based on the mathematical theory of Formal Concept Analysis which has become a successful theory for data analysis during the last 18 years. This approach relies on the pragmatic philosophy of Ch.S. Peirc...
متن کاملFormal Concept Analysis for Knowledge Discovery from Biological Data
Due to rapid advancement in high-throughput techniques, such as microarrays and next generation sequencing technologies, biological data are increasing exponentially. The current challenge in computational biology and bioinformatics research is how to analyze these huge raw biological data to extract biologically meaningful knowledge. This chapter presents the applications of formal concept ana...
متن کاملUsing Conceptual Scaling in Formal Concept Analysis for Knowledge and Data Discovery in Medical Texts
Formal concept analysis (FCA) 10] is a technique for knowledge representation and unsupervised machine learning that has been applied to a wide variety of knowledge representation and exploration tasks in a disparate range of disciplines including civil engineeringg7], psychologyy8], and political sciencee9]. Several software tools have been developed to aid knowledge exploration using FCA. The...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Bulletin of the American Society for Information Science and Technology
سال: 2005
ISSN: 0095-4403
DOI: 10.1002/bult.186