Formal Concept Analysis (FCA) is an unsupervised clustering technique and many scientific papers are devoted to applying FCA in Information Retrieval (IR) research. We collected 103 papers published between 2003-2009 which mention FCA and information retrieval in the abstract, title or keywords. Using a prototype of our FCA-based toolset CORDIET, we converted the pdffiles containing the papers ...

OBJECTIVES To identify pretest characteristics of cerebrospinal fluid (CSF) specimens that will allow the rational use of flow cytometric analysis (FCA) in the diagnosis of hematologic malignancy. METHODS Retrospective data were collected on 501 consecutive CSF samples submitted for FCA. RESULTS A positive diagnosis of hematologic malignancy was made in 41 specimens (8.2%). Blasts or atypic...

The Arabidopsis gene FCA encodes an RNA binding protein that functions to promote the floral transition. The FCA transcript is alternatively processed to yield four transcripts, the most abundant of which is polyadenylated within intron 3. We have analyzed the role of the alternative processing on the floral transition. The introduction of FCA intronless transgenes resulted in increased FCA pro...

Little is known about steroidal control of thirst- and salt-appetite behaviors of mice. The current study investigates effects of fludrocortisone acetate (FCA), a steroid with potent glucocorticoid and mineralocorticoid effects, on thirst- and salt-appetite responses of C57BL/6 mice. Treatment with FCA produced dose-dependent (5, 10, and 25 mg/kg) increases in both magnitude and duration of wat...

In this paper we analyze and de ne the introduction of st or der logic in Formal Concept Analysis FCA the aims are both theoretical as a complete model is needed and applied so as to improve expression power of FCA as a knowledge mining tool and the relevance of its results Our contribution consists in i the implementation of clas sical FCA in logic programming and the analysis of real cases ii...

Formal Concept Analysis (FCA) and concept lattices have shown their effectiveness for binary clustering and concept learning. Moreover, several links between FCA and unsupervised data mining tasks such as itemset mining and association rules extraction have been emphasized. Several works also studied FCA in a supervised framework, showing that popular machine learning tools such as decision tre...

INTRODUCTION Drug-induced cholestasis is a liver disorder that might be caused by interference of drugs with the hepatobiliary bile acid transporters. It is important to identify this interference early on in drug development. In this work, Positron Emission Tomography (PET)-imaging with a 18F labeled bile acid analogue was introduced to detect disturbed hepatobiliary transport of bile acids. ...

A proposal for a possible upgrade around the FCA (the FCA*) based on Thin Gap Gas Chambers has been presented to DELPHI. In this note the detailed design of the FCA* layout is described.

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...

Formal Concept Analysis (FCA) is a method for data analysis, knowledge representation and information management that is widely unknown among information scientists in the USA even though this technology has a significant potential for applications. FCA was invented by Rudolf Wille in the early 80s (Wille, 1982). For the first 10 years, FCA was developed mainly by a small group of researchers a...