{"product_id":"soft-computing-for-knowledge-discovery-introducing-cartesian-granule-features-von-james-g-shanahan","title":"Soft Computing for Knowledge Discovery","description":"Knowledge discovery is an area of computer science that  attempts to uncover interesting and useful patterns in data that  permit a computer to perform a task autonomously or assist a human in  performing a task more efficiently.\u003cbr\u003e   \u003cem\u003eSoft Computing for Knowledge Discovery\u003c\/em\u003e provides a self-contained  and systematic exposition of the key theory and algorithms that form  the core of knowledge discovery from a soft computing perspective. It  focuses on knowledge representation, machine learning, and the key  methodologies that make up the fabric of soft computing - fuzzy set  theory, fuzzy logic, evolutionary computing, and various theories of  probability (e.g. naïve Bayes and Bayesian networks,  Dempster-Shafer theory, mass assignment theory, and others). In  addition to describing many state-of-the-art soft computing approaches  to knowledge discovery, the author introduces \u003cem\u003eCartesian granule\u003c\/em\u003e  \u003cem\u003efeatures\u003c\/em\u003e and their corresponding learning algorithms as an  intuitive approach to knowledge discovery. This new approach embraces  the synergistic spirit of soft computing and exploits uncertainty in  order to achieve tractability, transparency and generalization.  Parallels are drawn between this approach and other well known  approaches (such as naive Bayes and decision trees) leading to  equivalences under certain conditions.\u003cbr\u003e  The approaches presented are further illustrated in a battery of both  artificial and real-world problems. Knowledge discovery in real-world  problems, such as object recognition in outdoor scenes, medical  diagnosis and control, is described in detail. These case studies  provide further examples of how to apply the presented concepts and  algorithms to practical problems.\u003cbr\u003e  The author provides web page access to an online bibliography,  datasets, source codes for several algorithms described in the book,  and other information.\u003cbr\u003e  \u003cem\u003eSoft Computing for Knowledge Discovery\u003c\/em\u003e is for advanced  undergraduates,professionals and researchers in computer science,  engineering and business information systems who work or have an  interest in the dynamic fields of knowledge discovery and soft  computing.\u003cdiv class=\"aw-variant-hidden-subtitle-div\" id=\"aw-variant-subtitle-9781461369479\"\u003e\u003ch3\u003eIntroducing Cartesian Granule Features\u003c\/h3\u003e\u003c\/div\u003e","brand":"Libri","offers":[{"title":"Softcover - 9781461369479","offer_id":39415684726877,"sku":"9781461369479","price":160.49,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0940\/0622\/files\/8e1623d6-40e0-430e-ac76-72b347010ca2.jpg?v=1761628075","url":"https:\/\/shop.autorenwelt.de\/products\/soft-computing-for-knowledge-discovery-introducing-cartesian-granule-features-von-james-g-shanahan","provider":"Autorenwelt Shop","version":"1.0","type":"link"}