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Algorithms for Knowledge Extraction Using Relation Identification

 

Marketed By :  LAP LAMBERT Academic Publishing   Sold By :  Kamal Books International  
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  • Product Description
 

Data mining and knowledge extraction methods become ones of the most important issues in modern computer science. Moreover, those methods have many real-life applications, e.g. in economics, medicine, computer networks, etc. Therefore, there is a constant need for developing new knowledge representations and knowledge extraction methods. In this work a coherent survey of problems connected with relational knowledge representation and methods for achieving relational knowledge representation were presented. Proposed approach was shown on three applications: economic case, biomedical case and benchmark dataset. All crucial definitions were formulated and three main methods for relation identification problem were shown. Moreover, for specific relational models and observations’ types different identification methods were presented. Furthermore, if problem formulation includes uncertainty characteristics, a general approach with soft variables was proposed.

Product Specifications
SKU :COC28784
AuthorJakub Tomczak
LanguageEnglish
BindingPaperback
Number of Pages100
Publishing Year5/19/2010
ISBN978-3838363479
Edition1 st
Book TypeComputer networking & communications
Country of ManufactureIndia
Product BrandLAP LAMBERT Academic Publishing
Product Packaging InfoBox
In The Box1 Piece
Product First Available On ClickOnCare.com2015-07-29 00:00:00
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