ANDREWS, Simon and ORPHANIDES, Constantinos (2010). Knowledge discovery through creating formal contexts. In: XHAFA, F, ABRAHAM, A, DEMETRIADIS, S and CABALLE, S, (eds.) First international workshop on computational intelligence in networks and systems (CINS 2010). IEEE Computer Society, 455-460.
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Knowledge discovery is important for systems that have computational intelligence in helping them learn and adapt to changing environments. By representing, in a formal way, the context in which an intelligent system operates, it is possible to discover knowledge through an emerging data technology called Formal Concept Analysis (FCA). This paper describes a tool called FcaBedrock that converts data into Formal Contexts for FCA. The paper describes how, through a process of guided automation, data preparation techniques such as attribute exclusion and value restriction allow data to be interpreted to meet the requirements of the analysis. Creating Formal Contexts using FcaBedrock is shown to be straightforward and versatile. Large data sets are easily converted into a standard FCA format.
|Item Type:||Book Section|
|Research Institute, Centre or Group:||Cultural Communication and Computing Research Institute > Communication and Computing Research Centre|
|Identification Number:||DOI 10.1109/INCOS.2010.53|
|Depositing User:||Helen Garner|
|Date Deposited:||27 Jun 2011 10:58|
|Last Modified:||26 Aug 2015 04:25|
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