Title :
Formal Concept Analysis for Digital Ecosystem
Author_Institution :
Telecommun. Software & Syst. Group, Waterford Inst. of Technol.
Abstract :
Formal concept analysis (FCA) is an effective tool for data analysis and knowledge discovery. Concept lattice, which is derived from mathematical order theory and lattice theory, is the core of FCA. Many research works of various areas show that concept lattices structures is an effective platform for data mining, machine learning, information retrieval, software engineer, etc. This paper offers a brief overview of FCA and proposes to apply FCA as a tool for analysis and visualization of data in digital ecosystem, and also discusses the applications of data mining for digital ecosystem
Keywords :
data analysis; data mining; data visualisation; data analysis; data mining; data visualization; digital ecosystem; formal concept analysis; information retrieval; knowledge discovery; lattice theory; machine learning; mathematical order theory; software engineer; Application software; Association rules; Data analysis; Data mining; Ecosystems; Information management; Information retrieval; Knowledge representation; Lattices; Machine learning;
Conference_Titel :
Machine Learning and Applications, 2006. ICMLA '06. 5th International Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7695-2735-3
DOI :
10.1109/ICMLA.2006.24
