{"product_id":"algorithms-for-knowledge-extraction-using-relation-identification-von-jakub-tomczak","title":"Algorithms for Knowledge Extraction Using Relation Identification","description":"\u003cp\u003eData 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.\u003c\/p\u003e\u003cdiv class=\"aw-variant-hidden-subtitle-div\" id=\"aw-variant-subtitle-9783838363479\"\u003e\u003ch3\u003eA New Approach\u003c\/h3\u003e\u003c\/div\u003e","brand":"Autorenwelt Shop","offers":[{"title":"Softcover - 9783838363479","offer_id":39486432084061,"sku":"9783838363479","price":49.0,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0940\/0622\/files\/8d6faebb-f87e-4d39-9487-59091c5433be.jpg?v=1773475660","url":"https:\/\/shop.autorenwelt.de\/products\/algorithms-for-knowledge-extraction-using-relation-identification-von-jakub-tomczak","provider":"Autorenwelt Shop","version":"1.0","type":"link"}