| Knowledge Discovery |
Article Index for Knowledge |
Website Links For Knowledge Discovery |
Information AboutKnowledge Discovery |
| CATEGORIES ABOUT KNOWLEDGE DISCOVERY | |
| computer science | |
| knowledge representation | |
| machine learning | |
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Knowledge discovery is a concept of the field of Computer Science that describes the process of automatically searching large volumes of Data for patterns that can be considered Knowledge ''about'' the data. The most well-known application of knowledge discovery is Data Mining , also known as Knowledge Discovery In Databases (KDD). Another promising application of knowledge discovery is in the area of Software Modernization which involves understanding existing software artifacts. This process is related to a concept of Reverse Engineering . Usually the knowledge obtained from existing software is presented in the form of models to which specific queries can be made when necessary. An Entity Relationship is a frequent format of representing knowledge obtained from existing software. Object Management Group (OMG) developed specification Knowledge Discovery Metamodel (KDM) which defines an ontology for the software assets and their relationships for the purpose of performing knowledge discovery of existing code. Knowledge discovery from existing software systems, also known as Software Mining is closely related to Data Mining , since existing software artifacts contain enormous business value, key for the evolution of software systems. Instead of mining individual Data Set s, Software Mining focuses on Metadata , such as database schemas. Knowledge discovery is the process of ''deriving'' Knowledge from the input Data . Some forms of knowledge discovery create Abstraction s of the input data. In some scenarios, the ''knowledge'' obtained through the process of knowledge discovery becomes further ''data'' that can be used for continuous discovery. Knowledge discovery is a complex topic that can be further categorized according to 1) what kind of ''data'' is searched; and 2) in what form is the result of the search represented. INPUT DATA FOR KNOWLEDGE DISCOVERY
OUTPUT FORMATS FOR DISCOVERED KNOWLEDGE
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