118,236 research outputs found
Knowledge discovery through creating formal contexts
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
Knowledge discovery through creating formal contexts
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. This 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. Examples are given of how formal contexts can be created using FcaBedrock and then analysed for knowledge discovery, using real datasets. Creating formal contexts using FcaBedrock is shown to be straightforward and versatile. Large datasets are easily converted into a standard FCA format
Abstracts and Abstracting in Knowledge Discovery
published or submitted for publicatio
DATA MINING TECHNOLOGIES
Knowledge discovery and data mining software (Knowledge Discovery and Data Mining - KDD) as an interdisciplinary field emersion have been in rapid growth to merge databases, statistics, industries closely related to the desire to extract valuable information and knowledge in a volume as possible.There is a difference in understanding of "knowledge discovery" and "data mining." Discovery information (Knowledge Discovery) in the database is a process to identify patterns / templates of valid data, innovative, useful and, in the last measure, understandable.data mining, knowledge discovery, data warehouse, data mining tools, data mining applications
Adaptation Knowledge Discovery from a Case Base
In case-based reasoning, the adaptation step depends in general on
domain-dependent knowledge, which motivates studies on adaptation knowledge
acquisition (AKA). CABAMAKA is an AKA system based on principles of knowledge
discovery from databases. This system explores the variations within the case
base to elicit adaptation knowledge. It has been successfully tested in an
application of case-based decision support to breast cancer treatment
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